Artificial Intelligence and Machine Learning

.- Artificial Intelligence in Network and Security Systems.
.- Noise-Resilient Compressive Sensing via Orthogonality Constraints.
.- Joint Sensing of Computing Power and Network for Smart Grid: A Deep Matrix Completion Approach.
.- Rethinking RSSI-based Key Extraction for UAVs and Ground Stations.
.- Campus Card Security Depository System based on State Secret Algorithm.
.- Network Traffic Classification via Deep Hashing Network.
.- A Trust Management Integrated Bayesian Network Prediction in Vehicular Networks.
.- Research and Development of Distribution Line Defects and Violations Detection Method and Edge
Computing System Based on Improved PPYOLOe.
.- A Joint Optimization Algorithm for Computing Resource Allocation, UAV Trajectory, and Task
Offloading in Remote Regional VANETs.
.- LSTMR: Spatio-Temporal 3D Multiscale ResNet Model for Cellular Network Traffic Prediction.
.- An Efficient Name Lookup Approach Based on Character Indexing.
.- A Multi-Channel Target Direction Speech Separation Model Based on Efficient Convolutional Networks.
.- Secure Cloud-Edge Collaborative Task Scheduling Framework Across Data Centers.
.- Research on Security Sharing Mechanism of Cyber Threat Intelligence Based on Consortium Blockchain.
.- Towards Automated Decoding of Vehicle CAN Data using Deep Learning.
.- Transfer Learning-driven Surrogate-assisted Differential Evolution Algorithm with User Generated
Content.