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K
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:
Ar
tific
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tellig
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B
ib
lio
m
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Featu
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Hig
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ith
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wh
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b
atin
g
th
e
"c
u
r
s
e
o
f
d
im
en
s
io
n
ality
"
[
1
]
.
T
h
is
p
h
en
o
m
en
o
n
,
wh
er
e
ad
d
in
g
f
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in
c
r
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s
es
th
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is
k
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o
v
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itti
n
g
[
2
]
.
T
o
a
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d
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ess
th
ese
ch
allen
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f
ea
tu
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e
s
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d
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,
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h
in
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its
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a
p
r
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m
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esear
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ield
[
4
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.
T
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p
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s
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ic
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[
3
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,
[
5
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.
R
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en
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s
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ican
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p
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ag
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en
t o
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co
m
p
lex
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d
lar
g
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-
s
ca
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ata
[
6
]
,
[
7
]
.
Mo
r
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th
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g
en
ce
o
f
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ap
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am
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ased
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m
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r
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b
u
s
t a
n
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lex
ib
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m
o
d
els
[
8
]
.
T
h
e
v
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s
atil
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f
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le
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tio
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s
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I
n
h
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alt
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ar
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p
a
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ch
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iz
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d
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ti
o
n
a
n
d
d
i
ag
n
o
s
ti
c
p
r
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is
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o
n
[
9
]
,
[
1
0
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.
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I
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tell
,
Vo
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14
,
No
.
6
,
Dec
em
b
er
20
25
:
4
4
0
3
-
4
4
1
4
4404
T
h
e
f
in
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s
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s
[
1
3
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,
[
1
4
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,
a
n
d
b
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o
r
m
atics
lev
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th
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o
r
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is
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d
p
r
o
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s
tr
u
ct
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r
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p
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ed
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n
[
1
5
]
.
Ad
d
itio
n
ally
,
tr
an
s
p
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tatio
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s
y
s
tem
s
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ca
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tim
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d
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tim
e
p
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ed
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n
th
r
o
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g
h
th
ese
tech
n
iq
u
es
[
1
6
]
.
T
h
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ex
p
o
n
e
n
tial
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o
wth
o
f
s
cien
tific
liter
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ec
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g
s
cien
tific
o
u
tp
u
t
an
d
r
esear
c
h
ev
o
lu
tio
n
[
1
7
]
.
T
h
ese
an
aly
tic
al
ap
p
r
o
ac
h
es,
e
n
h
an
ce
d
b
y
r
e
ce
n
t
d
ev
elo
p
m
en
ts
in
b
ib
lio
m
etr
ic
to
o
ls
,
en
ab
le
s
o
p
h
is
ticated
ex
am
in
atio
n
o
f
la
r
g
e
-
s
ca
le
s
cien
tific
d
ata,
o
f
f
e
r
in
g
co
m
p
r
eh
en
s
iv
e
in
s
ig
h
ts
in
to
r
esear
ch
d
y
n
am
ics
[
1
8
]
.
W
h
ile
ex
is
tin
g
s
tu
d
ies
h
av
e
p
r
o
v
id
ed
v
al
u
ab
le
in
s
ig
h
ts
in
to
s
p
ec
if
ic
asp
ec
ts
o
f
f
ea
t
u
r
e
s
elec
tio
n
,
s
u
ch
as
o
p
tim
izatio
n
alg
o
r
ith
m
s
in
h
ea
lth
ca
r
e
a
p
p
licatio
n
s
[
1
9
]
an
d
m
icr
o
a
r
r
ay
r
esear
ch
tr
en
d
s
[
2
0
]
,
th
er
e
r
e
m
ain
s
a
cr
itical
n
ee
d
f
o
r
a
c
o
m
p
r
eh
en
s
iv
e
u
n
d
er
s
tan
d
in
g
o
f
th
is
r
ap
id
l
y
e
v
o
lv
in
g
f
ield
.
Ou
r
s
tu
d
y
ad
d
r
ess
es
th
is
r
esear
ch
g
ap
t
h
r
o
u
g
h
a
c
o
m
p
r
e
h
en
s
iv
e
b
i
b
lio
m
etr
ic
a
n
aly
s
is
o
f
f
ea
tu
r
e
s
elec
tio
n
liter
atu
r
e
s
p
a
n
n
in
g
th
e
p
ast
d
ec
ad
e.
T
h
is
a
n
aly
s
is
aim
s
to
m
a
p
t
h
e
f
ield
'
s
in
tellectu
al
s
tr
u
ctu
r
e,
id
en
tify
em
er
g
in
g
r
esear
ch
f
r
o
n
tier
s
,
an
d
p
r
o
v
id
e
ev
i
d
en
c
e
-
b
ased
in
s
ig
h
ts
to
g
u
id
e
f
u
tu
r
e
in
v
esti
g
atio
n
s
.
T
h
e
p
ap
e
r
is
s
tr
u
ctu
r
e
d
as
f
o
ll
o
ws:
First,
we
p
r
esen
t
a
d
etail
ed
d
escr
ip
tio
n
o
f
o
u
r
b
ib
lio
m
etr
ic
m
eth
o
d
o
lo
g
y
,
en
co
m
p
ass
in
g
d
ata
co
llectio
n
p
r
o
ce
s
s
es
an
d
an
aly
tical
to
o
ls
.
Su
b
s
eq
u
en
tly
,
we
p
r
esen
t
o
u
r
f
in
d
in
g
s
,
f
o
llo
wed
b
y
an
in
-
d
ep
th
d
is
cu
s
s
io
n
o
f
th
e
r
esu
lts
.
T
h
e
p
ap
er
co
n
clu
d
es
with
a
s
y
n
th
esis
o
f
k
ey
in
s
ig
h
ts
,
wh
ile
ac
k
n
o
wled
g
i
n
g
m
eth
o
d
o
l
o
g
ic
al
lim
itatio
n
s
an
d
p
r
o
p
o
s
in
g
f
u
tu
r
e
r
esear
ch
d
ir
ec
tio
n
s
in
th
is
d
o
m
ain
.
2.
M
E
T
H
O
D
Desp
ite
th
e
v
ar
iety
o
f
liter
atu
r
e
d
atab
ases
av
ailab
le,
s
u
ch
a
s
Dim
en
s
io
n
s
[
2
1
]
,
L
e
n
s
,
Pu
b
Me
d
[
2
2
]
,
an
d
C
o
ch
r
an
e
L
ib
r
ar
y
.
Fo
r
t
h
is
s
tu
d
y
,
Sco
p
u
s
an
d
W
eb
o
f
Scien
ce
wer
e
ch
o
s
en
as
th
ey
ar
e
th
e
m
o
s
t
co
m
p
r
eh
e
n
s
iv
e
an
d
co
m
m
o
n
ly
r
ef
er
e
n
ce
d
m
u
ltid
is
cip
lin
ar
y
d
ata
b
ases
[
2
3
]
.
A
d
d
it
io
n
ally
,
b
ased
o
n
s
u
g
g
esti
o
n
s
[
2
4
]
a
n
d
r
ec
o
m
m
en
d
atio
n
s
[
2
3
]
,
th
ese
two
s
elec
ted
d
atab
ases
co
m
p
lem
en
t
ea
ch
o
th
er
,
esp
ec
ially
wh
en
co
m
p
ar
in
g
v
ar
i
o
u
s
f
iel
d
s
,
in
s
titu
tio
n
s
,
co
u
n
tr
ies,
o
r
lan
g
u
a
g
es.
T
h
er
e
f
o
r
e,
th
is
s
tu
d
y
will
f
o
cu
s
o
n
m
er
g
in
g
t
h
e
two
m
ain
d
atab
as
es: Sco
p
u
s
an
d
W
eb
o
f
Scien
c
e.
T
h
e
b
ib
lio
m
etr
ic
d
ata
co
llectio
n
p
r
o
ce
s
s
to
o
k
p
lace
o
n
S
ep
tem
b
er
2
5
,
2
0
2
4
.
All
s
ea
r
ch
es
wer
e
co
n
d
u
cte
d
o
n
th
e
s
am
e
d
a
y
to
p
r
ev
en
t
b
ias
f
r
o
m
d
aily
d
ata
b
a
s
e
u
p
d
ates.
T
h
e
r
esear
c
h
s
tu
d
y
aim
ed
to
id
en
tify
k
ey
wo
r
d
s
p
r
esen
t
in
th
e
ar
ticles'
titl
e
s
,
k
ey
wo
r
d
s
,
o
r
ab
s
tr
ac
ts
.
T
h
e
f
o
llo
win
g
to
p
ical
q
u
er
y
was
p
er
f
o
r
m
ed
:
(
"Fea
tu
r
e
s
elec
tio
n
"
OR
"Di
m
en
s
io
n
ality
r
ed
u
ctio
n
"
OR
"Attr
ib
u
te
s
elec
tio
n
")
AND
(
"Su
p
er
v
is
ed
lear
n
in
g
"
OR
"Un
s
u
p
er
v
is
ed
lear
n
in
g
"
OR
“M
ac
h
in
e
lear
n
in
g
”
OR
“
Dee
p
lear
n
in
g
”
)
AND
(
"Statis
tical
m
eth
o
d
s
"
OR
"PC
A"
O
R
“
Prin
cip
al
co
m
p
o
n
en
t
an
al
y
s
is
”
OR
"Co
r
r
elatio
n
-
b
ased
"
OR
"Ch
i
-
s
q
u
ar
e"
OR
"M
u
tu
al
in
f
o
r
m
atio
n
"
OR
"AN
OVA"
OR
"Va
r
ian
ce
th
r
esh
o
ld
")
.
T
h
is
r
esu
lted
in
2
0
8
8
d
o
cu
m
e
n
ts
in
Sco
p
u
s
a
n
d
1
,
3
2
8
d
o
c
u
m
en
ts
in
W
eb
o
f
Scien
ce
.
Fig
u
r
e
1
s
h
o
ws th
e
id
e
n
tific
atio
n
o
f
s
tu
d
ies v
ia
d
atab
ases
.
Fig
u
r
e
1
.
I
d
en
tific
atio
n
o
f
s
tu
d
ies v
ia
d
atab
ases
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
b
ib
lio
metric a
n
a
lysi
s
o
f fe
a
tu
r
e
s
elec
tio
n
tech
n
iq
u
es:
tr
en
d
s
,
in
n
o
va
tio
n
s
,
…
(
Ou
ma
ima
S
emm
a
r
)
4405
T
h
e
PR
I
SMA
f
lo
wch
ar
t
[
2
5
]
,
as
d
ep
icted
in
Fig
u
r
e
1
,
w
as
u
tili
ze
d
to
s
elec
t
o
n
ly
2
,
0
7
9
elig
ib
le
p
ap
er
s
.
I
n
itially
,
all
d
o
cu
m
en
t
ty
p
es:
ar
ticles,
p
r
o
ce
ed
in
g
p
ap
er
s
,
an
d
r
ev
iews
wer
e
in
clu
d
ed
.
T
h
en
,
r
ec
o
r
d
s
p
u
b
lis
h
ed
o
u
ts
id
e
th
e
p
er
io
d
o
f
2
0
1
4
-
2
0
2
4
wer
e
r
em
o
v
ed
.
T
h
e
latest
v
er
s
io
n
o
f
R
(
4
.
4
.
1
)
[
2
6
]
was
u
s
ed
,
alo
n
g
with
th
e
b
ib
lio
m
etr
ic
p
ac
k
ag
e,
to
m
er
g
e
,
s
cr
ee
n
,
an
al
y
ze
,
an
d
m
ap
th
e
d
o
wn
lo
ad
e
d
b
ib
lio
g
r
ap
h
ic
d
ata
[
2
7
]
.
A
“.
x
ls
x
”
E
x
ce
l
f
ile
was
u
p
lo
a
d
ed
to
th
e
B
ib
lio
s
h
in
y
,
a
web
-
b
ased
g
r
ap
h
ical
u
s
er
in
ter
f
ac
e
in
clu
d
e
d
in
b
ib
lio
m
etr
ic
[
2
8
]
.
Data
an
aly
s
is
wa
s
s
u
p
p
o
r
ted
b
y
d
o
w
n
lo
ad
in
g
E
x
ce
l
(
.
csv
)
a
n
d
im
ag
e
(
.
p
n
g
)
f
iles
,
wh
ich
wer
e
p
r
o
ce
s
s
ed
in
lin
e
with
t
h
e
s
tu
d
y
’
s
o
b
jectiv
es
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
s
ec
tio
n
,
we
p
r
esen
t
th
e
f
in
d
in
g
s
o
f
o
u
r
b
i
b
lio
m
etr
ic
an
aly
s
is
,
u
tili
zin
g
tw
o
d
is
tin
ct
ap
p
r
o
ac
h
es.
First,
we
co
n
d
u
ct
ed
a
d
escr
ip
tiv
e
an
al
y
s
is
to
g
ath
er
s
tatis
tical
in
f
o
r
m
atio
n
.
Nex
t,
we
em
p
l
o
y
ed
s
cien
tific
m
ap
p
in
g
to
ex
p
lo
r
e
th
e
co
n
ce
p
tu
al
s
tr
u
ctu
r
e,
f
o
cu
s
in
g
o
n
k
ey
ter
m
s
a
n
d
t
h
e
s
o
c
ial
n
etwo
r
k
am
o
n
g
au
th
o
r
s
wh
o
h
a
v
e
co
n
tr
i
b
u
te
d
to
th
e
d
ev
elo
p
m
en
t
o
f
f
ea
tu
r
e
s
elec
tio
n
tech
n
iq
u
es.
T
h
is
s
ec
tio
n
p
r
esen
ts
d
etailed
s
tatis
tic
s
o
n
y
ea
r
ly
r
esear
ch
o
u
tp
u
t,
av
er
a
g
e
citatio
n
s
p
er
y
ea
r
,
an
d
id
e
n
tifie
s
th
e
m
o
s
t
p
r
o
d
u
ctiv
e
au
th
o
r
s
,
in
s
titu
tio
n
s
,
co
u
n
tr
ies,
p
u
b
licatio
n
s
,
an
d
k
ey
w
o
r
d
s
.
I
t
also
s
h
ed
s
lig
h
t
o
n
th
e
m
o
s
t
f
r
eq
u
en
tly
cited
s
o
u
r
ce
s
an
d
au
t
h
o
r
s
.
3
.
1
.
Descript
iv
e
a
na
ly
s
is
3
.
1
.
1
.
Ke
y
re
t
riev
ed
info
rma
t
io
n
T
ab
le
1
p
r
o
v
id
es
an
o
v
er
v
iew
o
f
th
e
m
ain
b
ib
lio
m
etr
ic
in
d
i
ca
to
r
s
ass
o
ciate
d
with
f
ea
tu
r
e
s
elec
tio
n
tech
n
iq
u
es
ac
r
o
s
s
v
ar
io
u
s
d
o
m
ain
s
o
f
ar
tific
ial
in
tellig
en
ce
.
T
h
e
tab
le
s
u
m
m
ar
izes
in
f
o
r
m
atio
n
s
u
c
h
as
d
o
cu
m
e
n
t
ty
p
es,
p
u
b
licatio
n
s
o
u
r
ce
s
,
au
th
o
r
s
h
ip
s
tatis
tics
,
k
ey
wo
r
d
f
r
eq
u
e
n
cies,
an
d
p
atter
n
s
o
f
r
esear
c
h
co
llab
o
r
atio
n
.
Acc
o
r
d
in
g
to
th
e
d
ata,
2
,
0
7
9
d
o
c
u
m
en
ts
h
av
e
b
ee
n
p
u
b
lis
h
ed
o
n
th
is
to
p
ic,
th
e
m
ajo
r
ity
b
ein
g
jo
u
r
n
al
ar
ticles
(
1
,
3
6
5
)
a
n
d
c
o
n
f
er
e
n
ce
p
ap
er
s
(
5
3
9
)
.
No
ta
b
ly
,
th
e
an
n
u
al
g
r
o
wth
r
ate
is
n
eg
ativ
e
(
-
2
7
.
8
%),
s
u
g
g
esti
n
g
a
d
ec
lin
e
in
s
cien
tific
o
u
tp
u
t
o
n
f
ea
tu
r
e
s
elec
tio
n
tech
n
iq
u
es
in
r
ec
en
t
y
ea
r
s
.
T
h
is
tr
en
d
will
b
e
ex
am
in
ed
m
o
r
e
clo
s
ely
in
th
e
f
o
llo
win
g
s
ec
tio
n
s
to
b
etter
u
n
d
er
s
tan
d
its
im
p
licatio
n
s
.
3
.
1
.
2
.
Annu
a
l scient
if
ic
pro
d
uct
io
n o
v
er
t
he
y
ea
rs
Fig
u
r
e
2
ill
u
s
t
r
at
es
t
h
e
a
n
n
u
a
l
s
ci
en
ti
f
ic
p
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.
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,
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20
25
:
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6
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tatis
tical
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u
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ates
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u
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ased
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ased
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u
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u
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8
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ased
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ield
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tial o
v
e
r
all.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
er
20
25
:
4
4
0
3
-
4
4
1
4
4410
Fig
u
r
e
8
.
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.
3
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s
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o
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ies
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u
r
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ates
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OM
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ate
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am
o
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g
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eir
af
f
iliated
au
th
o
r
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
b
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lio
metric a
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a
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tech
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es:
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in
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Ou
ma
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r
)
4411
Fig
u
r
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1
0
.
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o
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n
tr
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e
1
1
.
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NCLU
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cted
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etailed
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im
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ield
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r
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9
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d
2
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th
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p
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f
Scien
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atab
ases
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icate
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3
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ef
lectin
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im
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with
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ig
h
-
d
im
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s
io
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al
d
ata.
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o
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n
tr
ies
s
u
ch
as
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h
in
a,
I
n
d
ia,
an
d
th
e
USA
e
m
er
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ield
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ir
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ig
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ican
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r
o
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ad
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g
f
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m
eth
o
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o
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o
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ies.
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h
ile
th
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s
t
u
d
y
p
r
o
v
id
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v
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ab
le
in
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ig
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ts
,
it
is
ess
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tial
to
r
ec
o
g
n
ize
th
at
th
e
s
p
ec
if
ic
k
e
y
wo
r
d
s
u
s
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etr
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d
ata
m
ay
h
av
e
in
f
lu
en
ce
d
o
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r
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esu
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tu
r
e
r
esear
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u
ld
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e
f
in
e
a
n
d
e
x
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d
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e
s
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e
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y
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co
r
p
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atin
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alter
n
ativ
e
k
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wo
r
d
s
.
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itio
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all
y
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s
in
ce
th
is
an
aly
s
is
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elied
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Sco
p
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o
f
Scien
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d
ata,
s
u
b
s
eq
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e
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t
s
tu
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ies
co
u
ld
b
r
o
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n
th
e
p
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r
s
p
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tiv
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b
y
in
clu
d
in
g
o
th
er
d
atab
ases
to
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p
t
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a
m
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ex
ten
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e
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esear
ch
.
ACK
NO
WL
E
DG
E
M
E
NT
S
T
h
e
s
u
p
p
o
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t
f
o
r
th
is
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ch
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o
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d
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y
th
e
Min
is
tr
y
o
f
Hig
h
er
E
d
u
ca
tio
n
,
Scien
tific
R
esear
ch
,
an
d
I
n
n
o
v
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n
,
as
well
as
th
e
Dig
ital
Dev
elo
p
m
en
t
Ag
en
cy
(
DDA)
an
d
th
e
Natio
n
al
C
en
ter
f
o
r
Scien
tific
an
d
T
ec
h
n
ical
R
esear
ch
(
C
NR
ST)
o
f
Mo
r
o
cc
o
,
u
n
d
e
r
th
e
Sm
ar
t D
L
SP
Pro
ject
-
Al
Kh
awa
r
izm
i I
A
-
Pro
g
r
am
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
in
v
o
lv
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
er
20
25
:
4
4
0
3
-
4
4
1
4
4412
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
id
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Ou
m
aim
a
Sem
m
ar
✓
✓
✓
✓
✓
✓
✓
W
is
s
al
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l H
ab
ti
✓
✓
✓
✓
✓
✓
Do
n
also
n
W
ils
o
n
✓
✓
✓
✓
✓
✓
Ab
d
ellah
Azm
an
i
✓
✓
✓
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✓
C
:
C
o
n
c
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p
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f
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Au
th
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s
s
tate
n
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co
n
f
lict o
f
in
t
er
est.
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
b
ib
lio
m
etr
ic
d
ata
s
u
p
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f
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y
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s
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f
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atab
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,
wh
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a
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e
s
u
b
ject
to
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u
b
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cr
ip
tio
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ac
ce
s
s
.
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h
e
d
er
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ed
d
ataset
g
en
er
a
ted
af
ter
s
cr
ee
n
in
g
,
clea
n
in
g
,
an
d
m
er
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in
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th
ese
r
ec
o
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d
s
is
av
ailab
le
f
r
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m
th
e
co
r
r
esp
o
n
d
in
g
au
th
o
r
[
W
E
H
]
u
p
o
n
r
ea
s
o
n
a
b
le
r
eq
u
est.
RE
F
E
R
E
NC
E
S
[
1
]
C
.
F
.
W
o
r
e
l
,
“
T
h
e
c
u
r
se
o
f
d
i
m
e
n
si
o
n
a
l
i
t
y
:
w
h
e
n
t
o
o
m
a
n
y
f
e
a
t
u
r
e
s
b
r
e
a
k
y
o
u
r
m
a
c
h
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n
e
l
e
a
r
n
i
n
g
mo
d
e
l
,
”
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S
R
N
,
2
0
2
5
,
d
o
i
:
1
0
.
2
1
3
9
/
s
sr
n
.
5
2
0
6
7
0
4
.
[
2
]
T.
H
a
st
i
e
,
R
.
Ti
b
s
h
i
r
a
n
i
,
a
n
d
J.
F
r
i
e
d
man
,
T
h
e
e
l
e
m
e
n
t
s
o
f
s
t
a
t
i
s
t
i
c
a
l
l
e
a
r
n
i
n
g
:
d
a
t
a
m
i
n
i
n
g
,
i
n
f
e
re
n
c
e
,
a
n
d
p
r
e
d
i
c
t
i
o
n
,
2
nd
ed
.
,
N
e
w
Y
o
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k
,
U
n
i
t
e
d
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t
a
t
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s
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