Cognitive neuroscienceMultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models [Volume 9, Issue 1, 2026, Pages 1-15]
D
Deep LearningEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
Disaster Risk ManagementEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
Disease OntologyMultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models [Volume 9, Issue 1, 2026, Pages 1-15]
E
Earthquake predictionEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
F
FairnessA Systematic Review of Fairness-Aware and Optimization-Driven Virtual Machine Allocation Models in Cloud Computing [Volume 9, Issue 1, 2026, Pages 16-31]
G
Gated Recurrent Unit (GRU)HGNN-SF: Heterogeneous Graph Neural Network with Gated Semantic Fusion for Robust Link Prediction [Volume 9, Issue 1, 2026, Pages 32-47]
Gene ontologyMultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models [Volume 9, Issue 1, 2026, Pages 1-15]
H
Hard Negative SamplingHGNN-SF: Heterogeneous Graph Neural Network with Gated Semantic Fusion for Robust Link Prediction [Volume 9, Issue 1, 2026, Pages 32-47]
Heterogeneous Graph Neural NetworksHGNN-SF: Heterogeneous Graph Neural Network with Gated Semantic Fusion for Robust Link Prediction [Volume 9, Issue 1, 2026, Pages 32-47]
K
Knowledge GraphMultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models [Volume 9, Issue 1, 2026, Pages 1-15]
L
Large Language ModelsMultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models [Volume 9, Issue 1, 2026, Pages 1-15]
Link PredictionHGNN-SF: Heterogeneous Graph Neural Network with Gated Semantic Fusion for Robust Link Prediction [Volume 9, Issue 1, 2026, Pages 32-47]
M
Multi-Objective OptimizationA Systematic Review of Fairness-Aware and Optimization-Driven Virtual Machine Allocation Models in Cloud Computing [Volume 9, Issue 1, 2026, Pages 16-31]
R
Random forest regressionEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
S
Semantic FusionHGNN-SF: Heterogeneous Graph Neural Network with Gated Semantic Fusion for Robust Link Prediction [Volume 9, Issue 1, 2026, Pages 32-47]
Systematic reviewA Systematic Review of Fairness-Aware and Optimization-Driven Virtual Machine Allocation Models in Cloud Computing [Volume 9, Issue 1, 2026, Pages 16-31]
T
Time-series analysisEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
Transformer ModelsEarthquake Prediction and Early Warning System Using Hybrid Random Forest and Time-Series Transformer Deep Learning Algorithms [Volume 9, Issue 1, 2026, Pages 48-55]
V
Virtual machine allocationA Systematic Review of Fairness-Aware and Optimization-Driven Virtual Machine Allocation Models in Cloud Computing [Volume 9, Issue 1, 2026, Pages 16-31]