A
Analytic Hierarchy Process (AHP) 57
ARC 89
Arduino Uno 237
AWG 94
B
Big data 216
Big data revolution 217
Big data store 219
BPNN
training phase 6
testing phase 7
BWM 57
C
Cluster 221
Cluster head 89
CMOS 14
COMET 58
Computer aided diagnosis (CAD) 73
Crisp set 59
D
Data augmentation 80
Decision making 66
Defuzzification 61
DIS 22
E
Edges 42
F
F-Score 80
FOV 76
Fuzzifier 60
G
Gaussian distribution 40
Gaussian membership function 60
Generalized Discriminant Analysis (GDA) 160
Generalized logical sphere 89
Gradient descent 206
H
HSCC 24
Human intelligence 36
I
ICA 40
Inference engine 60
Intraocular pressure (IOP) 72
K
Kalman filter 44
Kernel 45
L
Linear correlation 16
Linear Discriminant Analysis (LDA) 160
M
Max pooling layer 77
MCDM 55
MCML 23
Medium access control 89
Membership function 59
MPU 24
Multiple hypothesis tracking 44
N
NAND 3
Noise 36
NoSQL 219
O
Object detection 41
Object representation 38
Ocular hypertension (OHT) 72
Optic nerve head (ONF) 72
Optical coherence tomography (OCT) 72
Optical flow 43
P
POI 23
Prediction error 11
Probability density functions 40
Prognosis 225
R
Rating statement analysis 29
Recurrent neural networks 211
S
SaP 89
Semi-supervised learning 222
Sensitivity 80
SFPM 23
Shape representation
points 39
geometric shapes 39
silhouette and contour 39
Silhouette approach 45
SNR 104
Social network 22
Specificity 80
SRTD 23
SSDF attack 90
T
Training model 223
U
User view analysis 27
V
Virtual assistant 224
VLSI 14
X
XDA 91
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