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20
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Dep
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T
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Facu
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B
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a
Un
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s
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Ma
tar
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d
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an
th
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@
u
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s
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b
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m
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a.
ac
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id
1.
I
NT
RO
D
UCT
I
O
N
Mo
to
r
cy
cles
ar
e
th
e
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
m
o
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tatio
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I
n
d
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esia
d
u
e
to
th
eir
af
f
o
r
d
a
b
ilit
y
an
d
p
r
ac
ticality
[
1
]
.
T
h
e
an
n
u
al
in
cr
ea
s
e
in
m
o
to
r
cy
cle
u
s
e
r
an
k
s
I
n
d
o
n
esia
at
th
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to
p
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f
So
u
th
ea
s
t
Asi
a
'
s
lis
t
o
f
m
o
to
r
cy
cle
-
u
s
in
g
co
u
n
tr
ies
[
1
]
.
I
n
th
e
m
ea
n
tim
e,
au
to
m
atic
m
o
t
o
r
c
y
cles
h
av
e
b
ec
o
m
e
o
n
e
o
f
th
e
v
eh
icles
with
h
ig
h
d
aily
p
e
r
f
o
r
m
an
ce
[
2
]
,
[
3
]
.
Mo
to
r
v
e
h
icles
r
eq
u
ir
e
r
e
g
u
lar
m
ain
ten
an
ce
to
p
r
ev
en
t
d
am
ag
e
an
d
en
s
u
r
e
o
p
tim
al
p
er
f
o
r
m
an
ce
[
3
]
.
T
r
u
l
y
,
th
e
m
ain
c
o
m
p
lain
t
is
th
at
wh
en
a
m
o
t
o
r
b
ik
e
b
r
ea
k
s
d
o
wn
,
it
d
is
r
u
p
ts
th
e
u
s
er
'
s
ac
t
iv
ities
[
4
]
.
So
it
m
ak
es
s
en
s
e
if
p
r
ev
io
u
s
r
esear
c
h
er
s
s
u
g
g
ested
th
at
m
o
to
r
cy
cle
d
r
iv
er
s
s
h
o
u
l
d
a
ls
o
p
ay
atten
tio
n
to
d
is
tu
r
b
an
ce
s
in
th
eir
m
o
to
r
cy
cles
[
5
]
.
Un
f
o
r
tu
n
ately
,
m
o
to
r
cy
cle
d
am
ag
e
d
etec
tio
n
r
em
ain
s
t
r
ad
itio
n
al
d
es
p
ite
th
e
p
o
s
s
ib
ilit
y
o
f
a
d
o
p
tin
g
a
co
m
p
u
ter
-
b
ased
s
y
s
tem
[
6
]
.
Ho
wev
er
,
r
ec
en
t
s
u
r
v
ey
r
esear
ch
in
d
icate
s
th
at
in
d
u
ctio
n
m
o
to
r
f
ailu
r
es
r
esu
lt
in
s
ig
n
if
ican
t
p
er
f
o
r
m
an
ce
lo
s
s
es
an
d
d
o
w
n
tim
e
[
7
]
.
No
w
is
n
o
t
th
e
tim
e
to
r
ely
o
n
tr
ad
itio
n
al
m
et
h
o
d
s
f
o
r
d
ia
g
n
o
s
in
g
m
o
to
r
d
am
ag
e
o
r
f
ailu
r
e.
T
r
an
s
p
ar
en
t
d
ec
is
io
n
-
m
ak
in
g
u
s
in
g
ex
p
er
t
s
y
s
tem
s
an
d
/o
r
AI
is
ess
en
tial
[
7
]
.
T
h
er
ef
o
r
e,
it
is
u
n
s
u
r
p
r
is
in
g
t
h
at
p
r
ev
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u
s
r
esear
ch
er
s
h
av
e
s
u
g
g
ested
u
s
in
g
co
m
p
u
ter
tec
h
n
o
lo
g
y
to
im
p
r
o
v
e
m
o
to
r
cy
cle
p
r
o
b
lem
m
a
n
ag
e
m
en
t
[
3
]
.
I
n
tu
r
n
,
it
is
n
ec
ess
a
r
y
to
d
ev
el
o
p
an
in
n
o
v
ativ
e
s
y
s
tem
th
at
f
ac
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ates
ea
s
ier
r
ep
air
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f
m
o
to
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cy
cle
d
am
ag
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f
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r
b
o
th
m
o
to
r
c
y
cle
u
s
er
s
an
d
m
ec
h
an
ics
[
8
]
.
T
h
at
is
wh
y
th
is
s
tu
d
y
aim
s
to
d
iag
n
o
s
e
m
o
to
r
c
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cle
d
am
a
g
e
an
d
an
aly
ze
th
e
ac
cu
r
ac
y
an
d
p
er
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n
ta
g
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o
f
d
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n
o
s
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r
esu
lts
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s
in
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ex
p
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s
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s
tem
co
m
p
u
ter
in
tellig
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ce
tech
n
o
lo
g
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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t J I
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&
C
o
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m
u
n
T
ec
h
n
o
l
,
Vo
l.
15
,
No
.
4
,
Dec
em
b
er
20
26
:
1
8
2
9
-
1
8
4
0
1830
C
ase
-
b
ased
r
ea
s
o
n
in
g
(
C
B
R
)
is
an
ar
tific
ial
in
tellig
en
ce
(
AI
)
ap
p
r
o
ac
h
to
p
r
o
b
lem
-
s
o
l
v
in
g
[
9
]
.
I
t
o
p
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ates
o
n
th
e
p
r
in
cip
le
th
a
t
s
im
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p
r
o
b
lem
s
h
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e
id
e
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tical
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tio
n
s
[
9
]
,
[
1
0
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.
C
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a
m
eth
o
d
f
o
r
p
r
ed
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o
r
esti
m
atin
g
n
ew
ev
en
ts
b
ased
o
n
p
ast
ca
s
e
d
ata
[
9
]
−
[
1
1
]
.
T
h
e
C
B
R
m
eth
o
d
h
elp
s
s
o
lv
e
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ew
p
r
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n
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wled
g
e
f
r
o
m
s
im
ilar
p
ast
ca
s
es
[
1
0
]
.
C
B
R
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o
n
e
o
f
t
h
e
m
o
s
t
ef
f
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tiv
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m
eth
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d
s
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lev
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g
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a
k
n
o
wled
g
e
b
ase
to
s
o
lv
e
p
r
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b
lem
s
[
1
2
]
.
T
h
e
h
ig
h
est
lev
el
o
f
s
im
ilar
ity
f
r
o
m
th
e
p
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ev
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s
ca
s
e
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th
e
s
o
l
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tio
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th
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C
B
R
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ec
is
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n
in
s
o
lv
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ew
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lem
s
[
1
0
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,
[
1
1
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C
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p
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m
eth
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f
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r
d
etec
tin
g
d
am
a
g
e
to
au
t
o
m
atic
m
ac
h
in
es [
1
1
]
.
I
n
th
e
m
ea
n
tim
e,
k
n
o
wled
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b
ased
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u
m
an
ex
p
e
r
tis
e
in
r
esp
o
n
d
in
g
to
an
d
s
o
lv
in
g
s
p
ec
if
ic
p
r
o
b
lem
s
[
1
3
]
.
E
x
p
er
t
s
y
s
tem
C
F
u
tili
ze
s
r
u
l
e
-
b
ased
in
f
er
e
n
ce
en
g
in
es
to
d
iag
n
o
s
e
is
s
u
es
[
1
4
]
.
E
x
p
er
t
Sy
s
tem
s
ca
n
an
aly
ze
d
ata
in
a
v
e
r
y
s
ig
n
if
ican
t
wa
y
to
p
r
o
d
u
ce
r
esu
lts
[
1
5
]
.
E
x
p
er
t
s
y
s
t
em
h
a
v
e
g
ain
ed
tr
u
s
t
as
p
r
o
b
lem
-
s
o
lv
i
n
g
s
o
lu
tio
n
s
b
y
ac
tin
g
as
s
p
ec
ial
is
ts
an
d
ap
p
l
y
in
g
k
n
o
wled
g
e
f
r
o
m
h
u
m
a
n
e
x
p
er
ts
[
1
6
]
,
[
1
7
]
.
I
n
s
h
o
r
t,
ex
p
e
r
t
s
y
s
tem
C
F
m
ak
es
d
ec
is
io
n
b
ased
o
n
d
atasets
th
at
co
n
tain
k
n
o
wled
g
e
f
r
o
m
h
u
m
a
n
ex
p
er
ts
[
1
8
]
.
T
h
e
C
F
m
eth
o
d
is
a
well
-
k
n
o
wn
in
f
er
e
n
ce
en
g
in
e
th
at
estab
lis
h
es in
d
ep
en
d
en
t c
au
s
al
ass
u
m
p
tio
n
s
[
1
9
]
an
d
em
p
lo
y
s
a
r
u
le
-
b
ased
ap
p
r
o
ac
h
to
d
er
iv
e
f
in
al
d
ec
is
io
n
s
[
1
6
]
.
Ho
we
v
er
,
p
r
ev
io
u
s
r
esear
c
h
er
s
h
a
v
e
r
ec
o
g
n
ized
th
at
s
y
s
tem
m
o
d
els
ca
n
s
o
lv
e
p
r
o
b
lem
s
ac
r
o
s
s
v
ar
io
u
s
f
ie
ld
s
b
y
f
av
o
r
in
g
ex
p
er
t
s
y
s
tem
s
an
d
a
r
tific
ial
in
tellig
en
ce
[
2
0
]
.
T
h
e
latest
s
u
r
v
e
y
r
esear
ch
c
o
n
f
ir
m
e
d
th
at
n
o
n
e
o
f
th
e
p
r
ev
io
u
s
s
tu
d
ies
h
ad
s
im
u
ltan
e
o
u
s
ly
u
s
e
d
ex
p
er
t
s
y
s
tem
s
an
d
/o
r
in
tellig
en
t
m
eth
o
d
s
in
d
iag
n
o
s
in
g
m
o
to
r
d
am
a
g
e
(
wo
r
k
er
r
o
r
s
)
[
7
]
.
Mo
r
e
o
v
er
,
co
n
s
id
er
in
g
th
at
C
B
R
is
an
ex
p
er
ien
ce
-
b
ased
h
is
to
r
ical
ap
p
r
o
ac
h
to
s
o
lv
in
g
n
ew
p
r
o
b
lem
s
b
ased
o
n
th
e
s
im
ilar
ity
o
f
ev
en
ts
,
in
th
e
s
en
s
e
th
at
C
B
R
in
d
iag
n
o
s
in
g
(
class
if
y
in
g
)
n
ew
ca
s
es
is
co
m
p
letely
d
ep
en
d
e
n
t
o
n
h
is
to
r
ical
d
ata
(
ex
p
er
ie
n
ce
)
[
2
1
]
.
I
n
ad
d
itio
n
,
co
n
s
id
er
t
h
e
r
u
le
-
b
ased
C
F m
eth
o
d
f
o
r
d
iag
n
o
s
in
g
p
r
o
b
lem
s
th
at
also
d
ep
en
d
s
o
n
C
F e
x
p
er
ts
an
d
C
F u
s
er
s
[
1
4
]
.
I
n
o
th
er
wo
r
d
s
,
b
o
th
m
eth
o
d
s
h
a
v
e
a
clo
s
e
way
o
r
s
im
ilar
ity
to
h
u
m
an
wo
r
k
in
d
iag
n
o
s
in
g
p
r
o
b
lem
s
b
ased
o
n
th
eir
ex
p
er
tis
e
an
d
/o
r
ex
p
er
ie
n
ce
.
T
h
er
ef
o
r
e,
th
is
is
th
e
p
r
im
ar
y
r
ea
s
o
n
wh
y
th
e
s
tu
d
y
co
n
d
u
cted
a
m
o
to
r
c
y
cle
d
am
ag
e
d
iag
n
o
s
is
u
s
in
g
th
e
C
F
ex
p
er
t
s
y
s
tem
an
d
th
e
C
B
R
AI
ap
p
r
o
ac
h
.
T
h
e
ex
p
er
t
s
y
s
tem
a
p
p
r
o
ac
h
is
v
er
y
co
m
p
eten
t
in
p
r
o
v
id
in
g
ce
r
tain
t
y
b
ased
o
n
ev
id
en
ce
o
f
ev
en
ts
[
2
2
]
.
I
n
ca
s
es
o
f
u
n
ce
r
t
ain
ty
r
eg
ar
d
in
g
a
p
r
o
b
lem
'
s
an
aly
s
is
,
th
e
s
p
ec
ialis
t
s
y
s
tem
ap
p
r
o
ac
h
ca
n
b
e
a
n
id
ea
l
s
o
lu
tio
n
to
en
s
u
r
e
in
f
o
r
m
ed
d
ec
is
io
n
s
b
ased
o
n
ex
is
tin
g
p
r
o
b
lem
in
f
o
r
m
atio
n
,
as
a
n
ex
p
er
t
w
o
u
ld
[
2
3
]
.
E
x
p
er
t
s
y
s
tem
s
h
av
e
g
ain
ed
r
ec
o
g
n
itio
n
f
o
r
th
eir
e
f
f
ec
ti
v
en
ess
in
d
e
cisi
o
n
-
m
ak
in
g
a
n
d
p
r
o
b
lem
-
s
o
lv
in
g
ac
r
o
s
s
v
ar
io
u
s
f
ield
s
[
2
0
]
,
[
2
4
]
.
E
x
p
er
t
s
y
s
tem
s
ar
e
a
b
r
a
n
ch
o
f
AI
[
2
5
]
th
at
ca
n
m
im
ic
h
u
m
a
n
in
tellig
en
ce
an
d
e
x
p
er
tis
e
[
1
8
]
.
L
ik
ewise,
as
d
ec
is
io
n
-
m
a
k
in
g
p
r
o
b
lem
s
b
ec
o
m
e
in
cr
ea
s
in
g
ly
co
m
p
lex
,
C
B
R
,
as
an
AI
m
eth
o
d
,
ca
n
d
e
liv
er
in
n
o
v
ativ
e
d
ec
is
io
n
s
o
lu
tio
n
s
[
2
6
]
.
C
B
R
o
f
f
er
s
th
e
b
en
e
f
it
o
f
lev
e
r
ag
in
g
p
r
e
v
io
u
s
d
ataset
s
o
lu
tio
n
s
f
o
r
n
ew
p
r
o
b
lem
-
s
o
lv
in
g
task
s
,
m
a
k
in
g
it
w
ell
-
s
u
ited
f
o
r
s
ce
n
ar
io
s
t
h
at
r
eq
u
ir
e
c
o
n
tex
tu
al
u
n
d
er
s
tan
d
i
n
g
a
n
d
in
f
o
r
m
ed
d
ec
is
io
n
-
m
ak
in
g
[
2
7
]
.
Fu
r
th
er
m
o
r
e,
C
B
R
is
an
AI
t
h
at
h
as
b
ee
n
wid
ely
ap
p
lied
in
v
ar
io
u
s
d
o
m
ain
s
,
in
clu
d
in
g
m
an
ag
em
en
t,
m
ed
icin
e,
a
n
d
in
tellig
en
t n
etwo
r
k
s
[
2
8
]
.
T
h
e
r
esu
lts
o
f
th
is
s
tu
d
y
h
av
e
im
p
licatio
n
s
f
o
r
k
n
o
wled
g
e
r
e
lated
to
th
e
co
m
p
ar
is
o
n
o
f
p
er
f
o
r
m
an
ce
in
d
iag
n
o
s
in
g
p
r
o
b
lem
s
b
etwe
e
n
th
e
C
F
an
d
C
B
R
m
eth
o
d
s
,
with
th
e
latter
b
ein
g
s
u
p
er
io
r
.
R
elate
d
to
th
e
ad
v
an
tag
es
o
f
C
F
an
d
C
B
R
,
th
is
b
ac
k
g
r
o
u
n
d
p
r
o
v
id
es
a
b
a
s
is
f
o
r
s
elec
tin
g
an
d
u
s
in
g
th
ese
m
eth
o
d
s
in
th
is
s
tu
d
y
.
T
h
is
r
esear
ch
h
as
n
o
v
el
ty
b
ec
au
s
e
it
is
r
esear
ch
th
at
p
r
ev
io
u
s
r
esear
ch
er
s
h
av
e
n
o
t
c
ar
r
ied
o
u
t
in
ter
m
s
o
f
r
esear
ch
o
b
jects
an
d
r
esear
ch
m
eth
o
d
s
,
in
cl
u
d
in
g
r
esea
r
ch
b
y
r
esear
c
h
er
s
[
9
]
,
[
2
4
]
,
[
2
6
]
,
[
2
7
]
−
[
3
4
]
(
as
s
h
o
wn
in
T
ab
le
1
)
.
I
n
s
h
o
r
t,
r
ev
iewin
g
r
elate
d
w
o
r
k
s
co
n
f
ir
m
s
th
at
th
is
r
esear
ch
ad
d
r
ess
es
a
to
p
ic
th
at
h
as
n
o
t
b
ee
n
ex
p
lo
r
ed
b
y
p
r
ev
io
u
s
r
esear
ch
er
s
.
San
to
s
a
et
a
l.
[
3
0
]
c
o
n
f
ir
m
ed
th
at
th
e
r
esu
lts
o
f
ch
ick
e
n
d
is
ea
s
e
d
iag
n
o
s
is
u
s
in
g
th
e
Dem
p
s
ter
-
Sh
a
f
er
m
eth
o
d
m
atch
ed
th
o
s
e
o
f
e
x
p
e
r
t
o
p
in
io
n
with
an
ac
cu
r
ac
y
o
f
u
p
to
9
5
%.
T
h
is
p
r
io
r
s
tu
d
y
test
ed
th
e
p
r
o
p
o
s
e
d
ex
p
er
t
s
y
s
t
em
o
n
4
0
ca
s
es.
Pre
v
io
u
s
s
tu
d
ies
h
av
e
d
em
o
n
s
tr
ated
th
at
ex
p
er
t
s
y
s
tem
s
p
lay
a
cr
u
cial
r
o
le
in
em
p
o
wer
in
g
ch
ick
e
n
f
ar
m
e
r
s
to
d
iag
n
o
s
e
ch
ick
e
n
d
is
ea
s
es
ef
f
ec
tiv
ely
.
T
h
is
ea
r
lier
r
esear
ch
f
o
cu
s
ed
s
o
lely
o
n
th
e
Dem
p
s
ter
-
Sh
af
er
m
et
h
o
d
f
o
r
d
iag
n
o
s
is
.
I
n
co
n
tr
ast
,
th
is
ar
ticle
u
tili
ze
s
th
e
C
F a
n
d
C
B
R
m
eth
o
d
s
.
At
th
e
s
am
e
tim
e,
Oliv
eir
a
et
a
l.
[
2
8
]
p
r
esen
ted
a
C
B
R
ap
p
r
o
ac
h
to
en
c
o
u
r
ag
e
its
u
s
e
ac
r
o
s
s
v
ar
io
u
s
f
ield
s
o
f
s
cien
ce
,
esp
ec
ially
o
u
ts
id
e
o
f
c
o
m
p
u
ter
s
cien
ce
.
T
h
e
p
r
e
v
io
u
s
s
tu
d
y
p
r
o
v
i
d
es
o
n
ly
a
m
eth
o
d
o
l
o
g
ica
l
f
r
am
ewo
r
k
f
o
r
ap
p
l
y
in
g
C
B
R
b
ey
o
n
d
th
e
f
ield
o
f
co
m
p
u
ter
s
cien
ce
.
T
h
is
s
tu
d
y
d
if
f
er
s
s
ig
n
if
ican
tly
f
r
o
m
th
e
r
esear
ch
in
th
is
ar
ticle
in
its
aim
s
,
o
b
jectiv
es,
an
d
m
et
h
o
d
s
.
Me
an
wh
ile,
th
e
a
r
ticle
b
y
Glu
k
h
ik
h
an
d
Glu
k
h
ik
h
[
3
1
]
p
r
o
p
o
s
es
a
f
r
am
ewo
r
k
t
o
s
u
p
p
o
r
t
d
e
cisi
o
n
-
m
ak
in
g
in
co
m
p
lex
tech
n
o
lo
g
ical
s
y
s
tem
s
.
T
h
is
r
esear
ch
f
o
cu
s
es
o
n
th
e
ch
allen
g
es
o
f
u
tili
zin
g
alter
n
ativ
e
d
ec
is
io
n
-
m
a
k
in
g
m
eth
o
d
s
an
d
an
aly
zin
g
s
im
ilar
d
atab
ases
o
f
r
esear
ch
s
u
b
jects
with
v
ar
io
u
s
elem
en
ts
an
d
en
v
ir
o
n
m
en
tal
f
ac
to
r
s
in
tech
n
o
lo
g
ic
al
s
ettin
g
s
.
I
t
ad
v
o
ca
tes
f
o
r
th
e
u
s
e
o
f
co
m
p
ar
ato
r
-
ad
d
e
r
n
eu
r
al
n
etwo
r
k
s
(
C
ANN)
.
T
h
is
s
tu
d
y
d
if
f
er
s
f
r
o
m
p
r
e
v
io
u
s
r
esear
ch
r
eg
ar
d
i
n
g
its
m
eth
o
d
s
,
s
u
b
jects,
an
d
o
b
jectiv
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
E
xp
ert s
ystem
fo
r
mo
to
r
cy
cle
d
a
ma
g
e
d
ia
g
n
o
s
is
u
s
in
g
ce
r
ta
in
ty
fa
cto
r
a
n
d
ca
s
e
…
(
A
n
th
o
n
y
A
n
g
g
r
a
w
a
n
)
1831
An
g
g
r
awa
n
et
a
l.
[
2
4
]
p
r
o
p
o
s
ed
a
m
o
d
el
f
o
r
ea
r
l
y
d
iag
n
o
s
is
o
f
lear
n
in
g
d
is
o
r
d
er
s
in
ch
il
d
r
en
u
s
in
g
th
e
C
F
an
d
Dem
p
s
ter
-
Sh
af
er
ex
p
er
t
s
y
s
tem
m
eth
o
d
s
.
T
h
e
o
b
ject
o
f
th
is
r
esear
ch
ar
ti
cle
is
n
o
t
lear
n
in
g
d
is
o
r
d
er
s
b
u
t
r
ath
er
th
e
d
ia
g
n
o
s
is
o
f
m
o
to
r
cy
cle
d
am
a
g
e.
So
,
n
o
t
o
n
ly
d
o
es
th
is
s
tu
d
y
em
p
lo
y
th
e
C
B
R
m
eth
o
d
,
wh
ich
th
e
p
r
e
v
io
u
s
r
esear
ch
er
d
id
n
o
t,
b
u
t
it
also
h
as
d
if
f
er
en
t
o
b
jectiv
es
an
d
r
esear
ch
f
o
cu
s
es
th
at
d
if
f
er
en
tiate
it
f
r
o
m
t
h
e
p
r
ev
i
o
u
s
r
esear
ch
.
T
h
is
p
r
io
r
s
tu
d
y
co
n
clu
d
ed
th
at
th
e
C
F
m
eth
o
d
is
m
o
r
e
ac
c
u
r
ate
th
an
th
e
Dem
p
s
ter
-
Sh
af
er
m
e
th
o
d
f
o
r
d
etec
tin
g
d
is
ea
s
e
ty
p
es
in
ch
ild
r
en
.
Me
an
wh
ile,
R
am
ad
an
et
a
l.
[
2
9
]
in
tr
o
d
u
ce
d
a
d
is
ea
s
e
d
iag
n
o
s
is
m
o
d
el
u
tili
zin
g
a
f
o
r
war
d
-
c
h
ain
in
g
ex
p
er
t
s
y
s
tem
.
Un
lik
e
th
e
c
u
r
r
en
t
ar
ticle,
wh
ich
em
p
l
o
y
s
th
e
C
F
an
d
C
B
R
m
eth
o
d
s
,
th
e
p
r
ev
io
u
s
s
tu
d
y
f
o
cu
s
ed
s
o
lely
o
n
th
e
f
o
r
war
d
-
ch
ain
i
n
g
e
x
p
er
t
s
y
s
tem
.
T
h
e
ea
r
lier
r
esear
ch
f
o
cu
s
ed
o
n
d
iag
n
o
s
in
g
p
o
u
ltr
y
d
is
ea
s
es
r
ath
er
th
an
m
o
to
r
c
y
cle
d
am
ag
e.
T
h
is
s
tu
d
y
d
o
es
n
o
t
p
r
esen
t
t
h
e
p
e
r
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
ex
p
er
t
s
y
s
tem
ap
p
licatio
n
in
p
er
ce
n
tag
e
ter
m
s
,
ex
ce
p
t
to
d
em
o
n
s
tr
ate
th
at
th
e
m
o
d
el
b
u
ilt
ca
n
d
etec
t
th
e
ty
p
e
o
f
d
is
ea
s
e
af
f
ec
tin
g
c
h
ick
e
n
s
b
y
en
ter
in
g
th
e
s
y
m
p
to
m
s
o
f
c
h
ick
en
d
is
ea
s
e.
Van
d
an
a
et
a
l.
[
3
3
]
d
iag
n
o
s
ed
p
o
u
ltry
d
is
ea
s
es
u
s
in
g
co
n
v
o
l
u
tio
n
al
n
eu
r
al
n
etwo
r
k
s
(
C
NN)
ap
p
lied
to
f
ec
al
im
ag
es.
T
h
is
s
tu
d
y
d
ev
elo
p
s
a
m
o
d
el
to
id
en
tify
ch
ick
en
d
is
ea
s
es
b
y
class
if
y
i
n
g
im
ag
es
o
f
f
ec
es
ex
h
ib
itin
g
s
y
m
p
t
o
m
s
o
f
h
ea
lt
h
y
an
d
u
n
h
ea
lth
y
co
n
d
itio
n
s
.
T
h
is
p
r
io
r
r
esear
ch
d
o
es
n
o
t
p
er
tain
to
th
e
C
F
o
r
C
B
R
m
eth
o
d
s
,
th
e
d
ia
g
n
o
s
is
o
f
m
o
t
o
r
cy
cle
d
am
ag
e
,
o
r
th
e
d
ev
el
o
p
m
e
n
t
o
f
a
n
ap
p
li
ca
tio
n
p
r
o
g
r
a
m
as
d
escr
ib
ed
in
th
is
s
tu
d
y
.
I
n
th
e
s
am
e
y
ea
r
,
Pra
d
ee
p
et
a
l.
[
2
6
]
ex
am
in
ed
th
e
s
y
n
e
r
g
y
b
et
wee
n
C
B
R
m
eth
o
d
s
an
d
e
x
p
lain
ab
le
ar
tific
ial
in
tel
lig
en
ce
(
XAI
)
to
d
e
v
elo
p
an
XAI
p
latf
o
r
m
.
T
h
is
s
tu
d
y
ex
a
m
in
es
th
e
alig
n
m
en
t
o
f
C
B
R
p
r
in
cip
les
with
XAI
t
o
en
h
an
ce
th
e
t
r
an
s
p
ar
en
c
y
o
f
AI
r
ea
s
o
n
in
g
.
T
h
is
p
r
ev
i
o
u
s
s
tu
d
y
d
if
f
er
s
f
r
o
m
th
e
s
tu
d
y
p
r
esen
ted
in
th
is
ar
ti
cle
in
ter
m
s
o
f
o
b
jectiv
es a
n
d
r
esear
ch
s
u
b
jects.
I
s
ik
a
et
a
l.
[
3
2
]
id
en
tifie
d
v
a
r
io
u
s
ch
allen
g
es
in
f
in
d
in
g
in
ter
n
s
h
ip
s
an
d
,
th
er
ef
o
r
e,
r
esear
ch
ed
th
e
p
r
esen
tatio
n
o
f
a
p
latf
o
r
m
t
h
r
o
u
g
h
t
h
e
C
B
R
m
o
d
el
d
esig
n
to
f
ac
ilit
ate
in
ter
n
s
h
ip
p
lace
m
en
t.
T
h
is
p
r
ev
io
u
s
s
tu
d
y
u
tili
ze
d
th
r
ee
d
atasets
f
r
o
m
in
f
o
r
m
atio
n
tech
n
o
lo
g
y
(
I
T
)
,
h
ea
lth
ca
r
e,
an
d
m
a
n
u
f
ac
t
u
r
in
g
to
ev
alu
ate
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
C
B
R
m
eth
o
d
in
id
en
tify
in
g
in
ter
n
s
h
ip
s
.
E
ar
lier
r
esear
ch
o
n
d
iag
n
o
s
in
g
m
o
to
r
c
y
cle
d
am
ag
e
d
id
n
o
t
u
s
e
C
F
m
eth
o
d
s
b
ey
o
n
d
Dem
p
s
ter
-
Sh
af
er
;
t
h
er
ef
o
r
e
,
it
d
if
f
er
s
f
r
o
m
th
e
r
e
s
ea
r
ch
p
r
esen
ted
in
th
is
ar
ticle.
Me
an
wh
ile,
Yan
an
d
C
h
en
g
[
9
]
s
u
m
m
ar
ized
th
e
liter
atu
r
e
r
ev
iew
o
n
th
e
d
ev
el
o
p
m
en
t o
f
C
B
R
an
d
its
m
ain
ch
allen
g
es.
Pre
v
io
u
s
r
esear
ch
er
s
'
r
esear
ch
o
n
C
B
R
is
lim
ited
to
a
liter
atu
r
e
r
ev
ie
w
r
ath
er
th
an
a
tr
ial
r
esear
ch
o
f
th
e
m
eth
o
d
f
o
r
d
i
ag
n
o
s
in
g
m
ac
h
i
n
e
d
am
ag
e
.
I
n
th
e
m
ea
n
tim
e,
Desn
elita
et
a
l.
[
3
5
]
p
r
o
p
o
s
ed
an
ex
p
er
t
s
y
s
tem
f
o
r
d
ia
g
n
o
s
in
g
m
en
tal
h
ea
lth
d
is
o
r
d
er
s
in
ad
o
lescen
ts
,
b
u
t
t
h
eir
s
tu
d
y
r
elied
s
o
lely
o
n
th
e
C
F
m
eth
o
d
.
I
n
co
n
tr
ast,
o
u
r
ar
ticle
n
o
t
o
n
l
y
a
d
d
r
ess
es
a
d
if
f
er
e
n
t
r
esear
ch
o
b
jectiv
e
b
u
t
also
c
o
m
p
ar
es
t
h
e
r
esu
lts
o
f
C
F a
n
d
C
B
R
m
e
th
o
d
s
in
m
ak
in
g
d
ia
g
n
o
s
es.
T
ab
le
1.
C
o
m
p
a
r
is
o
n
of
our
w
o
r
k
with
s
e
v
e
r
a
l
p
r
io
r
r
elate
d
wo
r
k
s
P
a
p
e
r
R
e
se
a
r
c
h
c
a
t
e
g
o
r
y
R
e
se
a
r
c
h
a
p
p
r
o
a
c
h
R
e
se
a
r
c
h
o
b
j
e
c
t
P
e
r
f
o
r
ma
n
c
e
st
a
t
u
s
CF
C
B
R
M
o
t
o
r
c
y
c
l
e
U
si
n
g
a
p
p
l
i
c
a
t
i
o
n
[
3
0
]
Ex
p
e
r
t
sy
s
t
e
m
No
No
No
No
A
c
h
i
e
v
i
n
g
a
d
i
a
g
n
o
st
i
c
a
c
c
u
r
a
c
y
o
f
9
5
%
f
o
r
c
h
i
c
k
e
n
d
i
s
e
a
s
e
s
u
si
n
g
t
h
e
D
e
mp
s
t
e
r
-
S
h
a
f
e
r
me
t
h
o
d
.
[
2
8
]
AI
No
Y
e
s
No
No
N
o
t
d
i
scl
o
s
i
n
g
t
h
e
a
c
c
u
r
a
c
y
p
e
r
f
o
r
ma
n
c
e
o
f
t
h
e
o
f
f
e
r
e
d
m
o
d
e
l
s,
b
e
y
o
n
d
t
h
e
i
r
p
o
t
e
n
t
i
a
l
p
e
r
f
o
r
ma
n
c
e
,
e
n
c
o
u
r
a
g
e
s
t
h
e
u
se
o
f
C
B
R
c
o
m
p
u
t
e
r
sci
e
n
c
e
e
x
p
e
r
t
i
se
a
c
r
o
ss
v
a
r
i
o
u
s s
c
i
e
n
t
i
f
i
c
f
i
e
l
d
s.
[
3
1
]
C
A
N
N
No
No
No
No
Th
i
s
e
x
p
e
r
i
m
e
n
t
a
l
s
t
u
d
y
d
e
m
o
n
st
r
a
t
e
s
t
h
a
t
t
h
e
p
r
o
p
o
se
d
n
e
u
r
a
l
n
e
t
w
o
r
k
a
r
c
h
i
t
e
c
t
u
r
e
o
u
t
p
e
r
f
o
r
ms a
m
u
l
t
i
l
a
y
e
r
p
e
r
c
e
p
t
r
o
n
.
[
2
4
]
Ex
p
e
r
t
sy
s
t
e
m
Y
e
s
No
No
Y
e
s
Th
e
C
F
met
h
o
d
a
c
h
i
e
v
e
s
9
0
%
p
e
r
f
o
r
man
c
e
,
a
n
d
t
h
e
D
e
m
p
st
e
r
-
S
h
a
f
e
r
met
h
o
d
a
c
h
i
e
v
e
s
8
7
%.
[
2
9
]
Ex
p
e
r
t
sy
s
t
e
m
No
No
Y
e
s
Y
e
s
D
i
d
n
o
t
d
o
p
e
r
f
o
r
m
a
n
c
e
t
e
st
i
n
g
[
3
3
]
C
N
N
No
No
No
No
I
d
e
n
t
i
f
y
i
n
g
c
h
i
c
k
e
n
d
i
s
e
a
s
e
s t
h
r
o
u
g
h
f
e
c
a
l
i
ma
g
e
s
w
i
t
h
a
n
a
c
c
u
r
a
c
y
o
f
u
p
t
o
9
7
.
0
7
%
[
2
6
]
AI
No
Y
e
s
No
No
Th
e
f
i
n
d
i
n
g
s
o
f
t
h
i
s
p
r
e
v
i
o
u
s s
t
u
d
y
d
o
n
o
t
r
e
v
e
a
l
t
h
e
p
e
r
f
o
r
m
a
n
c
e
o
f
t
h
e
r
e
s
u
l
t
s
a
c
h
i
e
v
e
d
.
[
3
2
]
AI
No
Y
e
s
No
No
Th
e
a
c
c
u
r
a
c
y
p
e
r
f
o
r
ma
n
c
e
o
f
a
p
p
l
y
i
n
g
t
h
e
C
B
R
me
t
h
o
d
i
n
t
h
i
s
p
r
e
v
i
o
u
s
st
u
d
y
w
a
s
7
9
%
i
n
t
h
e
I
T
d
a
t
a
set
,
8
3
%
i
n
t
h
e
H
e
a
l
t
h
c
a
r
e
d
a
t
a
se
t
,
a
n
d
7
5
%
i
n
t
h
e
m
a
n
u
f
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.
[
9
]
Li
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w
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s
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No
P
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s res
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[
3
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Ex
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Y
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s
No
No
No
Th
i
s
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a
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[
3
6
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Ex
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Y
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s
No
No
No
Th
i
s
st
u
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y
p
r
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p
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s a
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me
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i
l
l
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ss w
i
t
h
C
F
.
[
3
4
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AI
No
Y
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s
No
No
P
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o
p
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se
d
a
m
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C
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p
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O
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r
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Ex
p
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a
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A
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c
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ma
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b
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g
n
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se
m
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t
o
r
c
y
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ma
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e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
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t J I
n
f
&
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o
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m
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n
T
ec
h
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,
Vo
l.
15
,
No
.
4
,
Dec
em
b
er
20
26
:
1
8
2
9
-
1
8
4
0
1832
Z
o
lf
ag
h
ar
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as
a
b
et
a
l
.
[
3
6
]
w
a
s
als
o
d
ia
g
n
o
s
ed
wit
h
m
e
n
t
al
ill
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ess
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it
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wh
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p
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M
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atic
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Fig
u
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.
Data
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u
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Flo
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2
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Da
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prepa
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Data
co
llectio
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4
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….
…………
………
………
………
……
……
30
Li
g
h
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s (l
a
mp
s)
31
H
o
r
n
(
h
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)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
E
xp
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fo
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mo
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(
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1833
T
ab
le
3
.
Sy
m
p
to
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2
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Dev
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T
h
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r
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a
n
a
p
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was
d
ev
elo
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e
d
.
T
h
e
d
ev
elo
p
m
en
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tag
e
in
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lv
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esig
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in
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m
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C
B
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an
d
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F m
eth
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s
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h
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B
R
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eth
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h
elp
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s
o
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e
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ew
p
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lem
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g
k
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r
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m
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im
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ast
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es
[
1
0
]
.
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h
e
C
B
R
m
eth
o
d
in
v
o
lv
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o
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r
k
e
y
p
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ce
s
s
es:
r
etr
iev
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r
eu
s
e,
r
ev
is
e,
an
d
r
etain
[
1
0
]
.
R
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iev
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is
th
e
s
tep
o
f
o
b
tain
in
g
ca
s
es
s
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ilar
to
th
e
cu
r
r
e
n
t
p
r
o
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lem
.
T
h
e
r
e
u
s
e
o
f
p
r
ev
io
u
s
ly
s
to
r
ed
ca
s
es
a
d
d
r
ess
es
th
e
n
ew
is
s
u
e
in
th
is
s
tep
.
R
ev
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io
n
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a
p
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ce
s
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o
f
m
o
d
if
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g
a
n
d
a
d
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g
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ed
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tio
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s
to
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th
e
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ew
s
itu
atio
n
.
Fin
a
lly
,
th
e
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etain
s
tep
in
co
r
p
o
r
ates
th
e
s
o
lu
tio
n
s
d
er
iv
ed
f
r
o
m
n
ew
ca
s
es
in
to
th
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ca
s
e
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atab
ase,
u
p
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atin
g
it
with
r
elev
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t
in
f
o
r
m
atio
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f
o
r
f
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tu
r
e
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s
e.
T
h
e
C
B
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lcu
l
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(
1
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S
r
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with
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d
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ile
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Similar
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=
1
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1
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2
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(
1
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T
h
e
C
F
m
eth
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d
h
elp
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o
v
er
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o
m
e
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n
ce
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tain
ty
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y
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a
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lex
i
b
le
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d
a
d
ap
tiv
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n
-
m
ak
in
g
.
I
n
(
2
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,
(
3
)
,
(
4
)
,
an
d
(
5
)
ar
e
th
e
C
F
f
o
r
m
u
las
f
o
r
ca
lcu
latio
n
.
C
F
[
h
,
e]
r
e
p
r
esen
ts
th
e
ce
r
tain
ty
f
ac
to
r
(
C
F),
MB
[
h
,
e]
r
e
p
r
esen
ts
th
e
m
ea
s
u
r
e
o
f
co
n
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id
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,
g
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d
1
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.
Me
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wh
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MD
[
h
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m
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n
(
3
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,
C
F(H
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r
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r
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co
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id
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ce
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wh
ile
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F(E
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r
ep
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th
e
m
ea
s
u
r
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f
ex
p
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t c
o
n
f
id
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ce
.
[
ℎ
,
]
=
[
ℎ
,
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−
[
ℎ
,
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(2
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(
,
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(
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(
3
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(
,
1
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+
(
,
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(
4
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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,
Vo
l.
15
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4
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20
26
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1
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omb
in
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tion
(
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(
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+
(
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3
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(
1
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H
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ol
d
(
5
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T
h
e
ad
v
an
tag
e
o
f
th
e
C
F
ex
p
er
t
s
y
s
tem
is
its
ab
ilit
y
to
d
i
ag
n
o
s
e
v
a
r
io
u
s
d
is
o
r
d
er
s
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y
l
ev
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g
ex
p
er
t
k
n
o
wled
g
e
an
d
u
s
er
ce
r
tain
ty
[
3
7
]
.
C
F p
r
o
d
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ce
s
d
ec
is
io
n
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o
lu
tio
n
s
with
a
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n
f
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ased
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n
h
y
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th
etica
l
f
ac
ts
,
s
o
it
h
as
ex
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tis
e
with
a
tr
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th
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v
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e
er
r
o
r
b
etwe
en
-
1
an
d
+1
,
s
o
its
d
iag
n
o
s
tic
p
er
f
o
r
m
an
ce
ex
ce
e
d
s
th
e
d
iag
n
o
s
tic
p
er
f
o
r
m
an
ce
o
f
th
e
b
a
y
es
th
eo
r
em
m
eth
o
d
[
3
8
]
.
On
t
h
e
o
th
er
h
an
d
,
C
B
R
p
lay
s
an
im
p
o
r
tan
t
r
o
le
in
AI
b
ec
au
s
e
it
d
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n
o
s
es
p
r
o
b
lem
s
lik
e
h
u
m
a
n
ex
p
e
r
ts
d
o
[
9
]
,
[
2
1
]
,
u
tili
zi
ng
ex
p
er
ien
ce
f
r
o
m
p
r
e
v
io
u
s
ca
s
es
to
s
o
lv
e
n
ew
ca
s
es
[
2
1
]
.
T
h
er
ef
o
r
e
,
th
e
m
o
r
e
e
x
p
er
ie
n
ce
o
f
p
r
ev
io
u
s
ca
s
es
th
at
ar
e
clo
s
e
an
d
/o
r
s
im
ilar
t
o
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ew
ca
s
es
m
ak
es
C
B
R
m
o
r
e
ex
p
er
t
in
d
ia
g
n
o
s
in
g
(
p
r
o
v
i
d
in
g
s
o
lu
tio
n
s
)
n
ew
ca
s
es,
o
r
with
m
o
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ex
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c
e
o
f
s
o
lu
tio
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s
to
p
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u
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s
es,
th
e
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y
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tem
'
s
ca
s
e
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as
e
b
ec
o
m
es
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n
o
s
in
g
n
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ca
s
es
with
co
r
r
ec
t
r
esu
lts
[
9
]
.
T
h
u
s
,
C
F
an
d
C
B
R
ar
e
two
r
eliab
le
m
eth
o
d
s
f
o
r
d
e
v
elo
p
in
g
d
iag
n
o
s
tic
m
eth
o
d
s
:
C
F
d
iag
n
o
s
es
b
ased
o
n
h
u
m
an
ex
p
e
r
t
k
n
o
wled
g
e
a
n
d
u
s
er
c
o
n
f
i
d
en
ce
wh
i
le
C
B
R
d
iag
n
o
s
es
n
ew
ca
s
es
lik
e
h
u
m
an
s
b
y
u
tili
zin
g
e
x
p
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n
ce
f
r
o
m
p
r
ev
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u
s
ca
s
es.
I
n
o
th
er
wo
r
d
s
,
th
e
C
F
an
d
C
B
R
m
eth
o
d
s
m
im
ic
th
e
wo
r
k
o
f
h
u
m
an
ex
p
er
ts
in
d
iag
n
o
s
in
g
a
p
r
o
b
lem
,
d
r
awin
g
o
n
th
eir
ex
p
e
r
tis
e
an
d
ex
p
er
ien
ce
.
T
h
er
e
f
o
r
e,
co
m
p
a
r
in
g
th
e
p
er
f
o
r
m
a
n
ce
th
e
C
F
an
d
C
B
R
m
eth
o
d
s
is
ess
en
tial
in
r
esear
ch
.
T
h
e
d
esig
n
o
f
a
C
B
R
s
y
s
tem
d
o
es
n
o
t
r
e
q
u
ir
e
r
u
le
c
r
ea
tio
n
,
as
C
F
d
o
es,
b
u
t
o
n
ly
r
eq
u
ir
e
s
th
e
co
llectio
n
o
f
p
r
ev
io
u
s
ca
s
es
an
d
r
etr
iev
ed
c
ases
as
p
r
ec
ed
en
ts
to
s
u
p
p
o
r
t d
ec
is
io
n
s
.
T
h
is
also
d
is
tin
g
u
is
h
es
i
t
f
r
o
m
m
ac
h
in
e
lear
n
in
g
,
wh
ich
p
r
o
v
id
es
d
iag
n
o
s
tic
r
esu
lts
(
p
r
ed
ictio
n
s
)
f
r
o
m
r
u
les
in
d
u
ce
d
f
r
o
m
tr
ain
in
g
d
ata
ag
ain
s
t
test
in
g
d
ata
(
d
iag
n
o
s
ed
ca
s
es).
Fig
u
r
e
2
p
r
esen
ts
th
e
d
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RE
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2252
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8
7
7
6
E
xp
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1835
T
ab
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.
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mag
e
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G5
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r
t
3
.
1
.
CB
R
ex
pert
s
y
s
t
em
t
ria
l
Du
r
in
g
th
e
r
etr
iev
al
p
h
ase,
n
ew
p
r
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b
lem
ca
s
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(
X)
ar
e
u
s
ed
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s
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r
ch
f
o
r
th
e
m
o
s
t
s
im
ila
r
ca
s
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th
e
d
atab
ase.
T
h
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p
r
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in
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th
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ar
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ter
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tics
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ab
le
6
s
h
o
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an
ex
am
p
le
o
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th
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r
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s
h
ip
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etwe
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d
s
im
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ity
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o
m
ca
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X,
th
e
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im
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ity
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et
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d
th
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ld
ca
s
e
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f
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jectio
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(
ca
r
b
u
r
et
o
r
)
is
0
.
8
3
3
.
T
h
e
n
e
x
t
s
tep
is
to
r
eu
s
e
t
h
i
s
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tep
to
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atch
th
e
s
im
ilar
ity
v
alu
e
b
etwe
en
m
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u
al
ca
lcu
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n
s
an
d
s
y
s
tem
ca
lcu
latio
n
s
.
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n
th
is
ca
s
e,
m
an
u
al
c
alcu
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f
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r
n
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ca
s
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d
r
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r
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ar
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r
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ac
cu
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f
0
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8
3
3
(
8
3
.
3
%
)
.
T
h
e
r
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lts
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s
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tem
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atch
th
is
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cu
r
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at
8
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%.
T
h
u
s
,
t
h
e
s
o
lu
tio
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p
r
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v
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in
s
er
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ic
in
g
is
th
at
th
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el
s
y
s
tem
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d
in
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r
s
wo
r
k
wel
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ch
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k
f
u
el
p
r
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u
r
e;
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el
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k
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s
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ec
k
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to
r
s
;
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k
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d
ad
ju
s
t
th
e
f
u
el
s
y
s
tem
;
ch
ec
k
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in
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co
n
d
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s
,
an
d
u
s
e
f
u
el
th
at
g
ets q
u
ality
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ec
o
m
m
e
n
d
atio
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s
.
Nex
t,
th
e
r
ev
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e
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r
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s
s
r
ev
iews
th
e
ca
s
e
d
ata
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tio
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p
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id
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d
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r
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r
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al
if
th
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y
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tem
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s
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o
t
p
r
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a
p
p
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.
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h
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ity
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tain
ed
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h
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am
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le
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t,
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ter
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tain
i
n
g
th
e
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ltin
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s
o
lu
tio
n
f
r
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m
t
h
e
n
ew
ca
s
e,
th
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r
etain
s
y
s
tem
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r
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ce
s
s
s
av
es
it
as
a
n
e
w
en
tr
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i
n
th
e
ex
p
e
r
t
s
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s
tem
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ase,
alo
n
g
with
th
e
ty
p
e
o
f
d
a
m
ag
e,
s
y
m
p
to
m
s
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d
s
o
lu
tio
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s
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T
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ew
e
n
t
r
y
in
th
e
d
atab
ase
im
p
r
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v
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th
e
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y
s
tem
'
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ab
ilit
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to
s
o
lv
e
f
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tu
r
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m
o
t
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r
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h
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o
lv
e
m
o
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a
m
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r
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s
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T
ab
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.
E
x
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p
le
o
f
weig
h
ts
a
n
d
s
im
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ities
o
f
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ld
ca
s
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O
l
d
c
a
s
e
W
e
i
g
h
t
S
i
mi
l
a
r
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t
y
Th
e
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n
g
i
n
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n
o
t
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t
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1
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b
l
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6
1
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ma
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ses
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8
1
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n
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8
1
3
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2
.
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e
x
pert
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y
s
t
em
t
ria
l
Fo
r
ex
am
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le,
d
am
a
g
e
1
3
(
in
j
ec
to
r
o
r
ca
r
b
u
r
eto
r
)
h
as
o
n
ly
f
iv
e
s
y
m
p
to
m
s
:
d
ec
r
ea
s
ed
p
e
r
f
o
r
m
a
n
ce
(
G5
)
,
W
astef
u
l Fu
el
(
G1
3
)
,
Un
s
tab
le
I
d
le
(
G2
9
)
,
C
h
ec
k
E
n
g
in
e
I
n
d
icato
r
L
ig
h
t O
n
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1
)
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an
d
E
n
g
in
e
ca
n
n
o
t
b
e
Star
ted
(
G5
6
)
,
as
p
er
T
ab
l
e
7
.
T
ab
le
8
d
is
p
lay
s
th
e
r
esu
lts
o
f
th
e
C
F
ex
p
er
t
m
u
ltip
lied
b
y
th
e
C
F
u
s
er
.
Me
an
wh
ile,
T
ab
le
9
s
h
o
ws
th
e
co
m
b
in
ed
ca
lc
u
latio
n
s
o
f
G
5
,
G1
3
,
G2
9
,
G3
1
,
an
d
G5
6
.
T
h
e
r
esu
lts
o
f
th
e
m
o
to
r
cy
cle
d
a
m
ag
e
d
ia
g
n
o
s
is
,
with
a
co
n
f
id
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n
ce
lev
el
o
f
0
.
9
9
9
8
(
9
9
.
9
8
%),
in
d
icate
d
a
m
ag
e
to
co
m
p
o
n
e
n
t
13
,
attr
ib
u
te
d
to
a
f
u
el
in
jecto
r
.
3
.
3
.
P
er
f
o
r
m
a
nce
t
esting
T
h
e
ex
p
er
t
s
y
s
tem
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s
p
er
f
o
r
m
a
n
ce
in
d
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n
o
s
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g
m
o
t
o
r
cy
cle
d
am
ag
e
in
th
is
s
tu
d
y
s
h
o
ws
th
at
C
B
R
h
as
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ig
h
er
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th
an
C
F.
T
ab
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1
0
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r
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ts
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e
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o
f
th
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m
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ce
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B
R
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C
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f
th
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F
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p
er
t.
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h
e
p
e
r
f
o
r
m
an
ce
test
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s
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h
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e
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F
m
eth
o
d
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9
8
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th
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R
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y
f
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d
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s
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n
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ir
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th
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p
r
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s
r
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s
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s
u
ch
as [
1
2
]
,
th
at
C
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R
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s
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e
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f
ec
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o
r
m
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n
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o
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ab
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ly
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tellig
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[
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r
[
2
8
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ce
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C
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th
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ataset
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ed
to
p
r
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v
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s
r
esear
c
h
co
n
d
u
cted
b
y
[
3
2
]
wh
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h
o
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ly
ac
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a
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ataset,
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f
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ataset.
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n
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th
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em
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ate
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'
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o
s
e
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o
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cle
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am
ag
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m
p
ar
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b
le
to
th
at
o
f
h
u
m
an
ex
p
e
r
ts
in
m
o
to
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r
ep
air
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th
e
r
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l
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o
f
th
is
s
tu
d
y
also
alig
n
with
th
e
o
p
in
io
n
o
f
p
r
ev
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u
s
r
esear
ch
b
y
[
1
1
]
,
wh
ich
s
u
g
g
ests
th
at
C
B
R
i
s
th
e
m
o
s
t
s
u
itab
le
m
eth
o
d
f
o
r
d
etec
tin
g
d
am
ag
e
to
m
o
to
r
c
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cle
m
ac
h
in
e
s
.
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n
o
th
er
wo
r
d
s
,
th
e
f
in
d
i
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g
s
o
f
th
is
s
tu
d
y
c
o
n
f
ir
m
th
at
AI
s
y
s
tem
s
f
ac
ilit
ate
h
ig
h
-
ac
cu
r
ac
y
d
ia
g
n
o
s
is
o
f
m
o
to
r
b
ik
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d
am
ag
e
an
d
co
n
clu
d
e
th
at
ex
p
er
t
s
y
s
te
m
s
an
d
AI
m
eth
o
d
s
h
av
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g
ain
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r
ec
o
g
n
itio
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o
r
th
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ield
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n
a
d
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itio
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t
h
is
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tu
d
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s
f
in
d
in
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s
s
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p
p
o
r
t p
r
e
v
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s
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[
1
3
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h
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at
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ex
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s
h
o
r
t,
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e
m
eth
o
d
p
r
o
p
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s
ed
in
th
is
s
tu
d
y
,
esp
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th
e
AI
C
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m
eth
o
d
,
ac
h
iev
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v
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h
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tp
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o
r
m
s
th
e
C
F
ex
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t
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tem
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eth
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d
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wh
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as
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e
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wid
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s
ed
b
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p
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ev
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u
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r
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h
er
s
in
d
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o
s
tic
r
esear
ch
.
T
h
e
s
tu
d
y
r
esu
lts
alig
n
with
t
h
e
v
iew
o
f
p
r
ev
i
o
u
s
r
esear
ch
e
r
s
[
2
6
]
th
at
C
B
R
,
as
an
AI
m
eth
o
d
,
ca
n
p
r
o
v
id
e
in
n
o
v
ativ
e
d
ec
is
io
n
s
o
lu
tio
n
s
.
T
h
is
s
tu
d
y
'
s
r
esu
lts
also
co
n
f
ir
m
t
h
at
ex
p
e
r
t
s
y
s
tem
s
f
ac
ilit
ate
h
ig
h
-
ac
cu
r
ac
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d
iag
n
o
s
is
o
f
m
o
to
r
b
ik
e
d
am
a
g
e.
T
h
e
f
in
d
in
g
s
o
f
th
is
s
tu
d
y
r
ein
f
o
r
ce
p
r
e
v
io
u
s
f
in
d
in
g
s
[
2
2
]
,
[
2
3
]
th
at
th
e
ex
p
er
t
s
y
s
tem
ap
p
r
o
ac
h
is
h
ig
h
ly
ef
f
ec
tiv
e
at
p
r
o
v
id
in
g
d
ec
is
io
n
ce
r
tain
ty
b
a
s
ed
o
n
ev
id
e
n
ce
o
f
ev
en
ts
,
m
ak
in
g
it
an
id
ea
l
s
o
lu
tio
n
f
o
r
en
s
u
r
in
g
ex
p
er
t
-
lev
el
d
ec
is
io
n
-
m
ak
in
g
in
d
i
ag
n
o
s
in
g
ex
is
tin
g
p
r
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b
lem
s
.
T
h
e
f
in
d
i
n
g
s
o
f
t
h
is
s
tu
d
y
,
wh
ich
d
em
o
n
s
tr
ate
th
a
t
C
B
R
o
u
tp
er
f
o
r
m
s
e
x
is
tin
g
m
eth
o
d
s
in
d
iag
n
o
s
in
g
d
am
ag
e
to
m
o
to
r
b
ik
es
an
d
ex
h
ib
its
h
u
m
an
-
lik
e
p
er
f
o
r
m
an
ce
with
o
u
t
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r
o
r
s
,
a
r
e
n
o
v
el
an
d
h
av
e
n
o
t b
ee
n
r
ep
o
r
ted
b
y
p
r
e
v
io
u
s
r
esear
ch
er
s
,
in
clu
d
in
g
th
o
s
e
o
f
[
9
]
,
[
2
4
]
,
[
2
6
]
-
[
3
4
]
.
Ho
wev
er
,
g
iv
en
th
e
wid
e
r
a
n
g
e
o
f
d
ia
g
n
o
s
tic
m
eth
o
d
s
a
v
a
ilab
le,
th
is
s
tu
d
y
'
s
lim
itatio
n
s
lie
in
its
lim
ited
u
s
e
o
f
th
e
C
B
R
an
d
C
F
m
eth
o
d
s
an
d
in
its
co
m
p
ar
i
s
o
n
o
f
th
eir
p
r
ed
ictiv
e/d
ia
g
n
o
s
tic
r
esu
lts
.
Fu
r
th
er
r
esear
ch
s
h
o
u
l
d
also
in
co
r
p
o
r
ate
o
th
e
r
ap
p
r
o
ac
h
es.
T
h
e
r
esu
lts
o
f
th
is
s
tu
d
y
h
av
e
im
p
licatio
n
s
f
o
r
u
n
d
er
s
tan
d
i
n
g
th
e
d
ia
g
n
o
s
tic
p
er
f
o
r
m
an
ce
b
etwe
en
C
F
an
d
C
B
R
m
eth
o
d
s
,
with
th
e
lat
ter
b
ein
g
s
u
p
e
r
io
r
.
Fu
tu
r
e
s
tu
d
ies
co
u
l
d
p
r
io
r
itiz
e
th
e
d
ia
g
n
o
s
tic
im
p
o
r
tan
ce
o
f
AI
C
B
R
o
v
er
C
F
m
eth
o
d
s
,
g
iv
en
its
s
u
p
er
io
r
p
er
f
o
r
m
an
ce
.
Fu
r
th
er
m
o
r
e,
p
r
ev
io
us
r
esear
ch
co
n
f
ir
m
s
t
h
at
ex
p
er
t
s
y
s
tem
s
ar
e
a
b
r
an
ch
o
f
a
r
tific
ial
in
tellig
en
ce
[
2
5
]
ca
p
a
b
le
o
f
i
m
itatin
g
h
u
m
an
ex
p
er
tis
e
[
1
8
]
;
o
u
r
f
in
d
i
n
g
s
co
r
r
o
b
o
r
ate
th
is
.
Similar
ly
,
with
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J I
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&
C
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m
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l
I
SS
N:
2252
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7
7
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xp
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2
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as d
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s
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ated
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C
B
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1
G
1
,
G
5
,
G
1
3
,
G
2
9
,
G
3
1
I
n
j
e
c
t
o
r
I
n
j
e
c
t
o
r
7
9
%
I
n
j
e
c
t
o
r
1
0
0
%
v
v
2
G
5
,
G
1
,
G
3
,
G
7
,
G
4
R
o
l
l
e
r
R
o
l
l
e
r
8
1
%
R
o
l
l
e
r
9
9
%
v
v
3
G
1
,
G
2
,
G
3
,
G
4
,
G
5
V
-
b
e
l
t
V
-
b
e
l
t
9
5
%
V
-
b
e
l
t
1
0
0
%
v
v
4
G
1
3
,
G
2
9
,
G
5
,
G
3
7
,
G
5
6
S
p
a
r
k
p
l
u
g
S
p
a
r
k
p
l
u
g
8
7
%
S
p
a
r
k
p
l
u
g
1
0
0
%
v
v
5
G
5
,
G
1
3
,
G
3
2
,
G
2
9
A
i
r
f
i
l
t
e
r
A
i
r
f
i
l
t
e
r
9
3
%
A
i
r
f
i
l
t
e
r
1
0
0
%
v
v
6
G
8
,
G
3
,
G
3
5
,
G
3
6
Lu
b
r
i
c
a
n
t
(
o
i
l
)
Lu
b
r
i
c
a
n
t
1
0
0
%
Lu
b
r
i
c
a
n
t
9
7
%
v
v
7
G
8
,
G
3
4
C
o
o
l
i
n
g
sy
s
t
e
m
C
o
o
l
i
n
g
sy
s
t
e
m
6
7
%
C
o
o
l
i
n
g
sy
s
t
e
m
1
0
0
%
v
v
8
G
6
3
,
G
2
,
G
5
,
G
4
,
G
7
C
l
u
t
c
h
p
l
a
t
e
C
l
u
t
c
h
p
l
a
t
e
7
1
%
C
l
u
t
c
h
p
l
a
t
e
9
5
%
v
v
9
G
4
3
,
G
4
1
,
G
4
2
,
G
2
9
Th
r
o
t
t
l
e
g
a
s
Th
r
o
t
l
e
g
a
s
1
0
0
%
Th
r
o
t
l
e
g
a
s
1
0
0
%
v
v
10
G
1
6
,
G
1
9
,
G
2
0
,
G
2
2
,
G
1
8
F
r
o
n
t
b
r
a
k
e
p
a
d
s
F
r
o
n
t
b
r
a
k
e
p
a
d
s
8
6
%
F
r
o
n
t
b
r
a
k
e
p
a
d
s
1
0
0
%
v
v
11
G
1
6
,
G
1
9
,
G
2
1
,
G
2
3
R
e
a
r
b
r
a
k
e
s
R
e
a
r
b
r
a
k
e
s
1
0
0
%
R
e
a
r
b
r
a
k
e
s
9
7
%
v
v
12
G
6
1
,
G
6
2
H
o
r
n
H
o
r
n
1
0
0
%
H
o
r
n
1
0
0
%
v
v
13
G
5
9
,
G
6
0
La
mp
(
l
i
g
h
t
)
La
mp
(
l
i
g
h
t
)
1
0
0
%
La
mp
(
l
i
g
h
t
)
1
0
0
%
v
v
14
G
2
8
,
G
4
4
,
G
4
5
,
G
4
7
B
a
t
t
e
r
y
B
a
t
t
e
r
y
8
3
%
R
e
l
a
y
c
o
i
l
9
9
%
v
x
15
G
4
8
,
G
4
7
,
G
4
9
A
l
t
e
r
n
a
t
o
r
A
l
t
e
r
n
a
t
o
r
1
0
0
%
A
l
t
e
r
n
a
t
o
r
9
8
%
v
v
16
G
4
7
,
G
5
0
,
G
5
1
R
e
g
u
l
a
t
o
r
r
e
c
t
i
f
i
e
r
R
e
g
u
l
a
t
o
r
r
e
c
t
i
f
i
e
r
1
0
0
%
R
e
g
u
l
a
t
o
r
r
e
c
t
i
f
i
e
r
1
0
0
%
v
v
17
G
5
2
,
G
4
6
,
G
5
3
F
u
se
F
u
se
1
0
0
%
F
u
se
1
0
0
%
v
v
18
G
5
4
,
G
5
5
S
w
i
t
c
h
S
w
i
t
c
h
1
0
0
%
S
w
i
t
c
h
1
0
0
%
v
v
19
G
5
6
,
G
3
7
I
g
n
i
t
i
o
n
k
e
y
I
g
n
i
t
i
o
n
k
e
y
1
0
0
%
I
g
n
i
t
i
o
n
k
e
y
1
0
0
%
v
v
20
G
4
6
,
G
2
8
,
G
5
7
R
e
l
a
y
R
e
l
a
y
1
0
0
%
R
e
l
a
y
1
0
0
%
v
v
21
G
2
8
,
G
3
7
,
G
5
8
,
G
5
I
g
n
i
t
i
o
n
c
o
i
l
I
g
n
i
t
i
o
n
c
o
i
l
9
3
%
I
g
n
i
t
i
o
n
c
o
i
l
1
0
0
%
v
v
22
G
2
8
,
G
3
7
,
G
4
0
,
G
3
1
En
g
i
n
e
c
o
n
t
r
o
l
M
.
En
g
i
n
e
c
o
n
t
r
o
l
m
o
d
u
l
e
9
4
%
En
g
i
n
e
c
o
n
t
r
o
l
m
o
d
u
l
e
9
9
%
v
v
23
G
8
,
G
3
3
,
G
3
4
C
o
o
l
i
n
g
sy
s
t
e
m
C
o
o
l
i
n
g
sy
s
t
e
m
1
0
0
%
C
o
o
l
i
n
g
sy
s
t
e
m
1
0
0
%
v
v
24
G
9
,
G
2
,
G
3
,
G
7
P
u
l
l
e
y
P
u
l
l
e
y
1
0
0
%
P
u
l
l
e
y
9
4
%
v
v
25
G
1
,
G
1
0
,
G
1
2
,
G
1
1
,
G
1
7
,
G
3
G
e
a
r
r
a
t
i
o
G
e
a
r
r
a
t
i
o
9
1
%
G
e
a
r
r
a
t
i
o
9
8
%
v
v
26
G
1
4
,
G
1
5
,
G
3
F
o
o
t
s
t
a
r
t
e
r
F
o
o
t
s
t
a
r
t
e
r
1
0
0
%
F
o
o
t
s
t
a
r
t
e
r
9
6
%
v
v
27
G
2
4
,
G
2
5
,
G
2
6
S
h
o
c
k
b
r
e
a
k
e
r
S
h
o
c
k
b
r
e
a
k
e
r
8
3
%
S
h
o
c
k
b
r
e
a
k
e
r
1
0
0
%
v
v
28
G
5
,
G
1
3
,
G
3
0
,
G
2
7
,
G
3
P
i
st
o
n
c
y
l
i
n
d
e
r
P
i
st
o
n
c
y
l
i
n
d
e
r
1
0
0
%
P
i
st
o
n
c
y
l
i
n
d
e
r
%
v
v
29
G
5
,
G
2
8
,
G
2
9
,
G
1
3
,
G
3
0
V
a
l
v
e
V
a
l
v
e
1
0
0
%
V
a
l
v
e
9
6
%
v
v
30
G
5
,
G
5
6
,
G
2
9
,
G
3
7
,
G
1
3
S
p
a
r
k
p
l
u
g
S
p
a
r
k
p
l
u
g
9
3
%
S
p
a
r
k
p
l
u
g
1
0
0
%
v
v
31
G
2
,
G
2
4
,
G
2
5
S
h
o
c
k
b
r
e
a
k
e
r
S
h
o
c
k
b
r
e
a
k
e
r
8
3
%
S
h
o
c
k
b
r
e
a
k
e
r
1
0
0
%
v
v
32
G
4
8
,
G
4
9
A
l
t
e
r
n
a
t
o
r
A
l
t
e
r
n
a
t
o
r
7
5
%
A
l
t
e
r
n
a
t
o
r
1
0
0
%
v
v
…
…………
………
…….
.
…………
………
.
.
…………
………
.
.
…………
………
.
.
…
…
48
G
1
,
G
2
,
G
3
,
G
5
,
G
6
3
C
l
u
t
c
h
p
a
d
s
C
l
u
t
c
h
p
a
d
s
8
6
%
C
l
u
t
c
h
p
a
d
s
9
7
%
v
v
49
G
3
,
G
5
,
G
1
3
,
G
3
0
C
y
l
i
n
d
e
r
a
n
d
p
i
s
t
o
n
C
y
l
i
n
d
e
r
a
n
d
p
i
s
t
o
n
C
y
l
i
n
d
e
r
a
n
d
p
i
s
t
o
n
v
v
50
G
5
6
,
G
5
,
G
3
7
,
G
3
8
F
u
e
l
p
u
m
p
F
u
e
l
p
u
m
p
F
u
e
l
p
u
m
p
v
v
4.
CO
NCLU
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D
F
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UR
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h
is
s
tu
d
y
f
o
u
n
d
th
at
th
e
C
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an
d
C
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ex
p
er
t
s
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s
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e
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d
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ac
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d
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s
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to
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d
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s
tr
ates
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at
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m
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c
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C
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m
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ate
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is
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e
m
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m
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p
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iew
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[
1
]
W
.
H
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2
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R
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