ASSM |
Auxiliary Semantic Supervised Module |
IoD |
Internet of Drones |
AFM |
Attention Fusion Module |
IoT |
Internet of Things |
BF |
Breathing Frequency |
IoV |
Internet of Vehicles |
BERT |
Bidirectional Encoder Representation from Transformer |
LR |
Logistic Regression |
CAD |
Computer-Aided Detection |
MAPE |
Mean Absolute Percentage Error |
CNN |
Convolutional Neural Network |
ML |
Machine Learning |
COVID-19 |
Coronavirus Disease 19 |
MLP |
Multi-Layer Perceptron |
DT |
Decision Tree |
MRI |
Magnetic Resonance Imaging |
DAM |
Deep Assessment Methodology |
LR |
Logistic Regression |
DBNs |
Deep Belief Networks |
NLP |
Natural Language Processing |
DDCAE |
Deep Denoising Convolutional Autoencoder |
NN |
Neural Network |
DL |
Deep Learning |
RAE |
Relative Absolute Error |
DT |
Decision Tree |
RBFNs |
Radial Basis Function Networks |
DTI |
Drug–Target Interactions |
RBMs |
Restricted Boltzmann Machines |
EHR |
Electronic Health Records |
RQs |
Research Questions |
EID |
Emerging Infectious Diseases |
RMSE |
Root Mean Square Error |
ELM |
Extreme Learning Machine |
RNN |
Recurrent Neural Network |
ESM |
Edge Supervised Module |
RT-PCR |
Reverse Transcription-Polymerase Chain Reaction |
EMA |
Ecological Momentary Assessment |
RF |
Random Forest |
FFNN |
Feed-Forward Neural Network |
SLR |
Systematic Literature Review |
GAN |
Generative Adversarial Networks |
SpO2
|
Oxygen Saturation |
GPR |
Gaussian Process Regression |
SOMs |
Self-Organizing Maps |
GRF |
Graphical Random Forest |
SNN |
Statistical Neural Network |
HAR |
Human Behavior Recognition |
SVM |
Support Vector Machine |
IoB |
Internet of Behaviors |
WHO |
World Health Organization |