Addressing environmental stochasticity in reconfigurable intelligent surface aided unmanned aerial vehicle networks: Multi-task deep reinforcement learning based optimization for physical layer security.
Internet Things, 2024
Multi-Task YOLO for Vehicle Colour Recognition and Automatic License Plate Recognition.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation.
Proceedings of the IEEE International Conference on Big Data, 2024
FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment.
Sensors, March, 2023
Empowering Non-Terrestrial Networks With Artificial Intelligence: A Survey.
IEEE Access, 2023
Deep Reinforcement Learning for Secrecy Energy- Efficient UAV Communication with Reconfigurable Intelligent Surface.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Artificial Intelligence of Things (AIoT) for Disaster Monitoring using Wireless Mesh Network.
Proceedings of the 2023 6th International Conference on Software Engineering and Information Management, 2023
Multi-Camera Face Detection and Recognition in Unconstrained Environment.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
An Optimized Multi-Task Learning Model for Disaster Classification and Victim Detection in Federated Learning Environments.
IEEE Access, 2022
Joint Disaster Classification and Victim Detection using Multi-Task Learning.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021