IEEE17d
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 ...
IEEE23d
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 ...
IEEE23d
Advancing the Internet of Bio-Nano Things: A Novel DNA-Based Track-Hopper System for Enhanced Efficiency and Reliability
Abstract: The thriving domain of the Internet of Bio-Nano Things (IoBNT) promises revolutionary advances in biomedicine, enabling biosensing, health monitoring, and therapeutic capabilities at the ...
IEEE23d
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 ...
IEEE23d
Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems
Abstract: This research exploits the applications of reconfigurable intelligent surface (RIS)-assisted multiple input multiple output (MIMO) systems, specifically addressing the enhancement of ...
IEEE23d
HyperMamba: A Spectral-Spatial Adaptive Mamba for Hyperspectral Image Classification
Abstract: Transformers have significantly advanced hyperspectral image (HSI) classification through their proficiency in modeling long sequences. However, the high dimensionality of HSI poses a ...
IEEE24d
V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception
Abstract: In this paper, we study the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present V2X-ViTs, a robust cooperative ...
IEEE24d
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 ...
IEEE25d
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 ...
IEEE26d
Heuristic-Based Multi-Agent Deep Reinforcement Learning Approach for Coordinating Connected and Automated Vehicles at Non-Signalized Intersection
Abstract: One typical application of connected and automated vehicles (CAVs) is to coordinate multiple CAVs at a non-signalized intersection in mixed traffic, and it may take advantage of multi-agent ...
IEEE26d
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 ...
IEEE26d
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 ...