IEEE7d
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 ...
IEEE7d
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 ...
IEEE7d
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), ...
IEEE26d
Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features Via Kernel Representation Similarity Analysis
Abstract: Typically, deep network-based full-reference image quality assessment (FR-IQA) models compare deep features from reference and distorted images pairwise, overlooking correlations among ...
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 ...
IEEE27d
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 ...
IEEE26d
Prompt-Agent-Driven Integration of Foundation Model Priors for Low-Count PET Reconstruction
Abstract: Low-count Positron Emission Tomography reconstruction is critical for maintaining high imaging quality while minimizing tracer doses and radiation exposure. Although integrating structural ...
IEEE21d
A Hardware-Friendly Shuffling Countermeasure Against Side-Channel Attacks for Kyber
Abstract: CRYSTALS-Kyber has been standardized as the only key-encapsulation mechanism (KEM) scheme by NIST to withstand attacks by large-scale quantum computers. However, the side-channel attacks ...
IEEE25d
Resilient Preparation and Restoration Strategy for Integrated Electric-Gas Distribution Systems Considering Mobile Energy Storage
Abstract: Extreme events can interrupt both electricity and gas supply in an integrated electric-gas distribution system (IEGDS). This work proposes a two-stage resilient preparation and restoration ...
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 ...
IEEE25d
Historical Information-assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization
Abstract: Dynamic multimodal optimization problems (DMMOPs) represent the multimodal optimization problems that the optimal solution changes over time. Due to the wide application of DMMOPs in reality ...