News

IEEE27d
Weighted Learnable Recursive Aggregation Network for Visible Remote Sensing Image Detection
Abstract: With the continuous development of intelligent UAV technology, efficient and accurate sensing of surrounding objects through onboard sensors has become an important research direction. Among ...
IEEE9d
Chip-Scale Resonant Optical Gyroscope With Near Earth-Rate Sensitivity
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
IEEE26d
Open-Set Domain Adaptation for Hyperspectral Image Classification Based on Weighted Generative Adversarial Networks and Dynamic Thresholding
Abstract: Recent studies have shown that the deep domain adaptation (DA) technique has achieved remarkable results in cross-domain hyperspectral image (HSI) classification task. However, these DA ...
IEEE28d
Dynamic Path Planning for Mobile Robots Based on Improved RRT* and DWA Algorithms
Abstract: The traditional Rapidly-exploring Random Tree Star (RRT*) suffers from the low path generation efficiency, numerous invalid exploration points, and unsuitability for navigation in unknown ...
IEEE25d
Edge and Flow Guided Iterative CNN for Remote Sensing Image Change Detection
Abstract: Change detection (CD) is an essential aspect of urban planning and resource management. Deep learning (DL) has the potential to detect complex changes from massive data more automatically ...
IEEE28d
Attributed Scattering Center Guided Network Based on Omnidirectional Subaperture Division for SAR Target Detection
Abstract: Synthetic aperture radar (SAR) multiview observations can acquire omnidirectional scattering characteristics of targets, providing richer information for target detection and recognition.
IEEE29d
Efficient Resource Allocation in Computing Power Networks Considering Similar Task Merging: A Lyapunov Optimization-Based DRL Approach
Abstract: The cloud-edge-terminal architecture relies on hierarchy for resource allocation but lacks global optimization. The computing power network (CPN) introduces a new distributed computing ...
IEEE27d
Neuron Perception Inspired EEG Emotion Recognition With Parallel Contrastive Learning
Abstract: Considerable interindividual variability exists in electroencephalogram (EEG) signals, resulting in challenges for subject-independent emotion recognition tasks. Current research in ...
IEEE28d
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
Abstract: In ultra-dense unmanned aerial vehicle (UAV) networks, it is challenging to coordinate the resource allocation and interference management among large-scale UAVs, for providing flexible and ...
IEEE27d
A Specific Emitter Identification Method via Adaptive Labels-Directed Softmax to Increase Inter-Class Margin and Decrease Intra-Class Margin
Abstract: Specific emitter identification (SEI) is considered an effective technical means to protect wireless networks from malicious intrusion, which identifies and classifies devices through radio ...
IEEE18d
It is Not Easy Diffusing Green: The Impact of Mandatory Regulations on the Diffusion Breadth and Depth of Voluntary Environmental Standards
Abstract: The adoption of voluntary environmental standards has emerged as a promising approach to coping with climate change and achieving sustainable development. While prior research has ...
IEEE1mon
AUV Trajectory Learning for Underwater Acoustic Energy Transfer and Age Minimization
Abstract: Internet of underwater things (IoUT) is increasingly gathering attention with the aim of monitoring sea life and deep ocean environment, underwater surveillance as well as maintenance of ...