Table of Contents
Power Grid Comprehensive Disaster Prevention and Mitigation Management System Based on Wireless Communication Network | |
Lei Guo |
Radiation-Resistant FPGA-Based Heterogeneous Architecture with Dynamic Scheduling for Real-Time Nuclear Robot Control | |
Yubo Fu, Lei Liu, Bing Li, Guodong Chen, Shaonan Chen, Guofeng Zhou |
Blockchain-Based Security Mechanisms for MANETs: A Review of Performance and Challenges | |
Rachid Khalladi, Youcef Fekir, Mohammed Rebbah |
Athlete Motion Recognition and Biomechanical Analysis Based on a Multimodal CNN Framework | |
Yijun Bai, Yongbin Shi, Qiqi Liu |
PSO-Optimized Grey-BPNN Hybrid Model for Predicting Construction Project Costs | |
Lijuan Peng, Wanlu Li |
SSUKF-FA-RBF: A Kalman-Enhanced High-Precision Positioning Framework for BeiDou Navigation Using Firefly-Optimized Neural Estimation | |
Liang Li, Shunli Hong, Xuexian Liu |
Hybrid Particle Swarm Optimization and Q-Learning for Airport Parking Space Allocation and Scheduling | |
Chunxin Huang |
Adaptive Machine Learning-Driven Enhancements for TREEPROMPT and TREEHP2PL in Distributed Real-Time Database Systems | |
Meenu Meenu |
MAGT: Multi-scale Attention Graph Transformer with Local Context Enhancement for CT Image Analysis | |
Youchun Qiu |
BreastEnsemNet: Transformer and BiLSTM-Based Hybrid Ensemble Deep Learning for Mammogram Classification | |
Bandla Raghuramaiah, Suresh Chittineni |
Dynamic Weight-Based Adaptive Data Fusion Filtering for RealTime Condition Monitoring of Electromechanical Equipment | |
Liqun Wang, Long Ma |
A Hybrid Interpretation Model Leveraging Improved Grey Wolf Optimization and Graph Attention Networks for Intent Recognition and Dynamic Interaction | PDF PDF |
Haibo Zhang |
Predicting E-commerce Customer Purchase Behavior Using LSTMAttention Neural Networks and Data Optimization Strategies | |
Baoyin Ye |
KMPPVM-DRM: A KMeans++ Based Dynamic Clustering Approach for Virtual Machine Resource Allocation in Cloud Data Centers | |
Mohanad Yahya Al-hamami, Mohsen Nickray |
Dual-Stream CNN-GRU Model with Spatial and Self-Attention for Power Forecasting in Electrical Automation | |
Chengjiang Tang |