IEEE4d
Waves and Fields in Inhomogenous Media
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
IEEE27d
High Breakdown Voltage P-GaN Gate HEMTs with Threshold Voltage of 7.1 V
Abstract: In this study, we proposed an enhanced mode P-GaN/AlGaN/GaN metal-insulator-semiconductor high electron mobility transistors (MIS-HEMTs) by combining thermal oxidation treatment of P-GaN ...
IEEE28d
Multi-UAV Formation Search Using Variable Resolution Cognitive Map and Tree-Type Topologies Under Limited Sensing Environments
Abstract: Cooperative search is a fundamental task for the unmanned aerial vehicles (UAVs), and cognitive maps are necessary resources for the entire search process. However, due to the limited ...
IEEE27d
GRiD: Guided Refinement for Detector-Free Multimodal Image Matching
Abstract: Multimodal image matching is essential in image stitching, image fusion, change detection, and land cover mapping. However, the severe nonlinear radiometric distortion (NRD) and geometric ...
IEEE29d
Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning
Abstract: Object detection is critical for autonomous vehicles. It enables safe and efficient autonomous driving. However, variations in weather conditions, such as night, fog, rain, and snow, ...
IEEE26d
Long-Term Demand Prediction for Public Bicycle Sharing System: A Spatio-Temporal Attentional Graph Convolution Networks Approach
Abstract: Accurately predicting the long-term demand for public bicycle systems (PBS) is crucial for policy implementations such as operator rebalancing. With the continuous advancement of deep ...
IEEE24d
Dual-Alignment Domain Adaptation for Pedestrian Trajectory Prediction
Abstract: Predicting the plausible future paths of pedestrians is essential for human-involved applications (e.g., autonomous driving and service robotics). Existing pedestrian trajectory prediction ...
IEEE18d
Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding
Abstract: Low-latency communication plays an increasingly important role in delay-sensitive applications by ensuring the real-time information exchange. However, due to the constraint on the maximum ...
IEEE29d
Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification
Abstract: The rise of synthetic speech technologies has triggered growing concerns about the increasing difficulty in distinguishing between real and fake voices. In this context, we propose novel ...
IEEE25d
DECT: Diffusion-Enhanced CNN–Transformer for Multisource Remote Sensing Data Classification
Abstract: Methods for joint classification of hyperspectral images (HSIs) with high dimensionality and spectral correlation and other sensor data (e.g., optical, infrared, radar, etc.) are important ...
IEEE27d
A Battery Degradation Prediction Framework Considering Differences in Electric Vehicle Operating Characteristics
Abstract: Accurate and reliable health status prognostics are critical for ensuring battery safety and enabling smart management. Most existing studies assume stable operating conditions, which ...
IEEE24d
Deep Learning-Based CSI Feedback for XL-MIMO Systems in the Near-Field Domain
Abstract: In this paper, we consider an extremely large-scale massive multiple-input-multiple-output (XL-MIMO) system. As the scale of antenna arrays increases, the range of near-field communications ...