资讯

IEEE8 个月
MFRC-Net: Multi-Scale Feature Residual Convolutional Neural Network for Motor Imagery Decoding
Abstract: Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). However, the majority of studies prioritize enhancing the accuracy of decoding methods, ...
IEEE3 个月
Interactive and Supervised Dual-Mode Attention Network for Remote Sensing Image Change ...
Abstract: With the rapid advancement of remote sensing technology, change detection using bitemporal remote sensing images has significant applications in land use planning and environmental ...
IEEE1 年
Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection
Abstract: Infrared small target (IRST) detection aims at separating targets from cluttered background. Although many deep learning-based single-frame IRST (SIRST) detection methods have achieved ...
IEEE1 年
ISAC 4D Imaging System Based on 5G Downlink Millimeter Wave Signal
Abstract: Integrated Sensing and Communication(ISAC) has become a key technology for the 5th generation (5G) and 6th generation (6G) wireless communications due to its high spectrum utilization ...
IEEE4 个月
KNIGCN: Key Node Identification in UAV Swarm Networks Using a Graph Convolutional Network
Abstract: In the field of Internet of Things (IoT), uncrewed aerial vehicle (UAV) swarms are widely used to assist IoT communication due to their simple deployment, high mobility and high cost ...
IEEE7 个月
Joint Optimization of Trajectory, Offloading, Caching, and Migration for UAV-Assisted MEC
Abstract: UAV-assisted MEC revolutionizes edge computing by deploying UAVs for real-time data processing in areas lacking infrastructure, supporting a wide range of applications from emergency ...
IEEE1 年
You Only Plan Once: A Learning-Based One-Stage Planner With Guidance Learning
Abstract: In this work, we propose a learning-based one-stage planner for trajectory generation of quadrotor in obstacle-cluttered environment without relying on explicit map. We integrate perception ...
IEEE2 天
Deep Clustering: A Comprehensive Survey
Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...
IEEE1 年
ISAC From the Sky: UAV Trajectory Design for Joint Communication and Target Localization
Abstract: Integrated sensing and communication (ISAC) is studied in the airborne domain, where Unmanned Aerial Vehicles (UAVs) act as communication base stations and radars simultaneously. The UAV ...
IEEE1 年
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual ...
Abstract: Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic ...
IEEE4 个月
RL-Based USV Path Planning Under the Marine Multimodal Features Considerations
Abstract: Path planning is an important step in ensuring the safety of unmanned surface vehicle (USV) navigation and executing missions quickly and efficiently. However, current USV path planning ...
IEEE1 年
SS-MAE: Spatial–Spectral Masked Autoencoder for Multisource Remote Sensing Image ...
Abstract: Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. The existing MIM-based methods mostly focus on spatial feature modeling ...