IEEE3d
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), ...
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 ...
IEEE13d
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 ...
IEEE14d
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
Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media
Abstract: Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable ...
IEEE28d
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
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.
IEEE28d
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 ...
IEEE28d
Composite Learning Fixed-Time Control for Nonlinear Servo Systems With State Constraints and Unknown Dynamics
Abstract: Robot systems, due to their unique flexibility and economy, are widely used in modern industry and intelligent manufacturing. The parameters of the system are unknown, and traditional ...
IEEE28d
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 ...
IEEE29d
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) ...
IEEE29d
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 ...