IEEE1mon
Physics-Informed Deep Operator Network for 3-D Time-Domain Electromagnetic Modeling
Abstract: This article presents a modeling technique for realistic 3-D electromagnetic problems in the time domain, using a novel physics-informed deep operator network (PI-DON). The training of the ...
IEEE3d
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...
IEEE2d
Positioning in 5G Networks: Emerging Techniques, Use Cases, and Challenges
Abstract: As 5G networks proliferate globally, the need for accurate, reliable, and scalable positioning solutions has become increasingly critical across industries, such as Internet of Things (IoT), ...
IEEE12d
Artificial intelligence for satellite communication: A review
Abstract: Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be ...
IEEE13d
Error detecting and error correcting codes
Abstract: The author was led to the study given in this paper from a consideration of large scale computing machines in which a large number of operations must be ...
IEEE1mon
Real-time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach
Abstract: Motor vehicles typically exhibit a “speed-varying range" (SVR) characteristic. For battery-powered electric vehicles (BEVs), the range diminishes at higher speed. This characteristic greatly ...
IEEE28d
Deformable Convolution-Enhanced Hierarchical Transformer with Spectral-Spatial Cluster Attention for Hyperspectral Image Classification
Abstract: Vision Transformer (ViT), known for capturing non-local features, is an effective tool for hyperspectral image classification (HSIC). However, ViT’s multi-head self-attention (MHSA) ...
IEEE27d
PeriodicMFD: A Periodic-based Framework for Multi-source Fault Diagnosis
Abstract: Cross-speed bearing fault diagnosis based on multiple source domains and their data enables high-performance condition monitoring for variable-speed equipment, such as engines and turbines.
IEEE1mon
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels
Abstract: Accurate medical image segmentation is often hindered by noisy labels in training data, due to the challenges of annotating medical images. Prior research works addressing noisy labels tend ...
IEEE27d
EarthMarker: A Visual Prompting Multimodal Large Language Model for Remote Sensing
Abstract: Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multiturn dialog, enabling an interactive understanding of images. However, it is ...
IEEE27d
Amyloid-β Deposition Prediction with Large Language Model Driven and Task Oriented Learning of Brain Functional Networks
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=42 ...
IEEE1mon
Deep Beamforming for Real-time 3D Passive Acoustic Mapping with Row-Column-Addressed Arrays
Abstract: Passive acoustic mapping (PAM) is a promising tool to monitor acoustic cavitation activities for focused ultrasound (FUS) therapies. While 2D matrix arrays allow three-dimensional (3D) PAM, ...