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
Nearest neighbor pattern classification
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=18 ...
IEEE6d
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 ...
IEEE6d
Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation
Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With ...
IEEE6d
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), ...
IEEE28d
Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives
Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
IEEE26d
Modular Self-Reconfigurable Continuum Robot for General Purpose Loco-Manipulation
Abstract: Modular Self-Reconfigurable Robots offer exceptional adaptability and versatility through reconfiguration, but traditional rigid robot designs lack the compliance necessary for effective ...
IEEE24d
Holt-based Prediction Correction Dynamic Multi-Objective Evolutionary Algorithm for IoT with UAV in Aerial Edge Computing
Abstract: This paper regards UAV-assist aerial edge computing as a dynamic multi-objective optimization problem. In order to continuously track the the moving Pareto set, a new Holt-based prediction ...
IEEE21d
Movable Antenna Enabled Integrated Sensing and Communication
Abstract: In this paper, we investigate a novel integrated sensing and communication (ISAC) system aided by movable antennas (MAs). A bistatic radar system, in which the base station (BS) is ...
IEEE27d
Hierarchical Disturbance/Uncertainty Estimation and Attenuation for Integrated Modeling and Motion Control: Overview and Perspectives
Abstract: Advanced motion control with higher precision and faster dynamic response is emerging as an enabling technique for higher performance mechatronic systems ...
IEEE1mon
S3F2Net: Spatial-spectral-structural Feature Fusion Network for Hyperspectral Image and LiDAR Data Classification
Abstract: The continuous development of Earth observation (EO) technology has significantly increased the availability of multi-sensor remote sensing (RS) data. The fusion of hyperspectral image (HSI) ...
IEEE1mon
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) ...