Resource-Efficient Model for Deep Kernel Learning
Evaluating Combined Influence of Weighted Analysis Class Diagram Metrics on Early Software Size Estimation
Adaptive Non-Overlapping Community Detection Based on Gravitational Field Stability in Social Networks
DeliteSeg: A Real-Time Semantic Segmentation Model for Predicting Small Objects and Object Contours
Few-Shot Semantic Segmentation with Frequency Prototype Learning
Decision Support System for Improving Breast Cancer Diagnosis Using Ensemble Learning
Research on Dense Detection Algorithm for Brown Mushroom Based on Improved YOLOv7
Collaborative Filtering Algorithm Based on Deep Denoising Auto-Encoder and Attention Mechanism
MINet: A Pedestrian Trajectory Forecasting Method with Multi-Information Feature Fusion
Local Matrix Factorization with Network Embedding for Recommender Systems
Task Offloading Decision and Resource Allocation Strategy Based on Improved DDPG in Mobile Edge Computing
Advancing Early Diagnosis: Investigating Breast Cancer Cell Segmentation with Deep Learning and Transfer Learning Approaches
Self-Supervised Learning for 3D Action Prediction Based on Past Completeness and Future Trend
Comparative Visualization of Algorithms and Data Structures
Max Planck Theory for Digital Image Processing: A New Algorithm for Mammogram Image Segmentation to Identify Masses in Regions of the Breast
YOLO-DTO: Automotive Door Panel Fastener Detection Algorithm Based on Deep Learning
Lightweight Dual-Stream Human Behavior Inference Network Based on Multi-Layer Perceptron
New Family of Linear 3-Erasure Correcting Block Codes with Possible Application in Storage Systems
Efficient Drone Detection Method Based on YOLOv8s Improvement
SMRFC-PDCNN: An Efficient Scene Matching Recognition with DCNN and Feature Clustering on Spark
Triple-GCN: Enhanced Multi-Feature Graph Convolutional Network for Aspect-Based Sentiment Analysis
Abilities of Contrastive Soft Prompting for Open Domain Rhetorical Question Detection
Self-Supervised Learning for 3D Action Prediction with Graph Convolutional Recurrent Network
Personalized Federated Learning Based on Hypernetworks and Attention Mechanism Ensembles for Internet of Things
SDN-Based Multi-Objective Optimization for Task Offloading with Algorithm Federated Learning in Fog Computing Environment
Adaptive Sampling-Based Heterogeneous Graph Enhancement
Machine Learning Approach for Ecological Public Transport Systems
Optimizing Security and Performance in Blockchain-Enhanced Federated Learning Through Participant Selection with Role Determination
Knowledge Graph Representation Learning by Text Encoding and Graph Structure
An Approach Based on Coloured Petri Net and NSGA-II to Improve the Emergency Department
Multi-Objective Optimization for Multi-Modal Route Planning Integrating Shared Taxi and Bus
Data-Driven Bayesian Network for Risk Analysis of Telecom Fraud
Ensemble Prediction of Business Process Remaining Time Based on Random Forest and XGBoost
Semantic Enhancement and Heterogeneous Correlation Guided Web Service Clustering
Fault Feature Extraction in Rolling Bearings Using Time-Frequency Analysis and Optimized Variational Mode Decomposition
Modeling and Verification of Chinese Wall Policy Based on Petri Nets with Data
An Aggregation Degree-Based Cooperative Model for Autonomous Vehicle Groups in a Closing Scene
Modeling and Analyzing Hormonal Effects of Depression Based on Petri Nets and Machine Learning
Personalized Learning Path Recommendation Based on Learner Profile and Knowledge Graph
Exploring Performance and Energy Optimization in Serverless Computing: A Review
HiBiGNN: Hierarchical Bilateral Graph Neural Network for fMRI Analysis
Modified Convolutional Neural Network for Speaker Age and Gender Classification
Design and Development of a Hybrid Evolutionary Method with a Special Selection of Artificial Immune System for Stroke Prediction: A Balancing Approach
Multi-Modal Emotion Recognition Using Situation-Based Video Context Emotion Dataset
Enhancing Large-Scale Code Understanding Through Goal Structuring Notation and Large Language Models
Efficient Distributed Clustering with Cuckoo Search Algorithm and GPU Acceleration for Big Data Analysis
ADOCIL: Enhancing Image Classification with Attention Distillation for Online Class-Incremental Learning
Enhancing Real-Time Rumor Detection on Weibo Through User and Content Feature Integration
Block-Jacobi SVD Algorithms: A Review
Depth-Wise and Depth-Wise Separable YOLO Models for Concealed Object Detection Using Terahertz Images
An Improved Genetic Algorithm for Solving the Clustered Steiner Tree Problem
Petri Net Structural Reduction for Temporal Epistemic Logic Verification in Multi-Agent Systems
A Travel Point-of-Interest Recommendation Algorithm Incorporating Social Features and Logistic Matrix Factorisation
Constructing and Repairing Process Models Containing Loop Return Structures via Logic Petri Nets
Object-Based Hyperspectral Classification Approach to Tree Species by 3D-CNN
A Lightweight Text Representation Method Integrating Topic Information
Behavior-Enhanced Knowledge Tracing Model in Intelligent Tutoring Systems
Performance Analysis and Optimization Method Based on Petri Net for Manufacturing Execution System