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Partitioned RIS-Assisted Vehicular Secure Communication Based on Meta-Learning and Reinforcement Learning [PDF]
SensorsThis study tackles the issue of ensuring secure communications in vehicular ad hoc networks (VANETs) under dynamic eavesdropping threats, where eavesdroppers adaptively reposition to intercept transmissions.
Hui Li +4 more
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IEEE Access, 2022 Detection of arrhythmia of electrocardiogram (ECG) signals recorded within several sessions for each person is a challenging issue, which has not been properly investigated in the past.
Maytham N. Meqdad +2 more
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Action Behavior Learning Based on a New Multi-Scale Interactive Perception Network
IEEE Access, 2023 Action recognition is a fundamental research topic in the field of video understanding, but classical action recognition relies on a large amount of manually annotated video data, which limits its development.
Chunlin Zheng, Jun Gu, Sheng Xu
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A Meta Reinforcement Learning Approach for SFC Placement in Dynamic IoT-MEC Networks
Applied Sciences, 2023 In order to achieve reliability, security, and scalability, the request flow in the Internet of Things (IoT) needs to pass through the service function chain (SFC), which is composed of series-ordered virtual network functions (VNFs), then reach the ...
Shuang Guo, Yarong Du, Liang Liu
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DMA-Net: Decoupled Multi-Scale Attention for Few-Shot Object Detection
Applied Sciences, 2023 As one of the most important fields in computer vision, object detection has undergone marked development in recent years. Generally, object detection requires many labeled samples for training, but it is not easy to collect and label samples in many ...
Xijun Xie, Feifei Lee, Qiu Chen
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Robust Traffic Sign Recognition Against Camera Failures
IEEE Open Journal of Intelligent Transportation Systems, 2022 Failures of the vehicle camera may compromise the correct acquisition of frames, that are subsequently used by autonomous driving tasks. A clear understanding of the behavior of the autonomous driving tasks under such failure conditions, together with ...
Muhammad Atif +4 more
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Mathematics, 2022 The sine and cosine algorithm is a new simple and effective population optimization method proposed in recent years that has been studied in many works of literature. Based on the basic principle of the sine and cosine algorithm, this paper fully studies
Chengfeng Zheng +4 more
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Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings and neuroscience investigations to understand brain mechanisms.
Qihang Wang +3 more
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A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems
IEEE Access, 2023 With the rapid growth of data-intensive jobs and the use of different hardware in storage, disaggregated storage architecture systems are being used to improve the operational cost efficiency of data centers.
Seunghwan Jeong, Honguk Woo
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Learning Adaptive Probabilistic Models for Uncertainty-Aware Air Pollution Prediction
IEEE Access, 2023 The air pollution problem has been a serious issue for public health and city development in recent years, which rises an urgent demand for accurate air pollution prediction models.
Zhiyuan Wu +5 more
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