IEEE2d
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 ...
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.
IEEE27d
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
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 ...
IEEE29d
Feasible Operation Region-based Constraint Management of Distribution Networks with Soft Open Points
Abstract: Soft open points (SOPs) are power electronic devices placed at normally open points of electricity distribution networks. With millisecond-level control, SOPs are promising in constraint ...
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 ...
IEEE28d
A Survey on Integration Design of Localization, Communication and Control for Underwater Acoustic Sensor Networks
Abstract: Underwater acoustic sensor networks (UASNs), which are formed by a number of interconnected mobile vehicles and static sensors, have emerged as a promising solution to explore and utilize ...
IEEE27d
Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing
Abstract: Soft sensing is a promising solution to predict key quality variables in various industries. One of the major obstacles to building an accurate data-driven soft sensor is the scarcity of ...
IEEE28d
Geometrized Task Scheduling and Adaptive Resource Allocation for Large-Scale Edge Computing in Smart Cities
Abstract: Edge computing is vital in developing smart cities by providing on-site computational resources to support the surging Internet of Things demands. However, the distributed nature of edge ...