IEEE4d
DDRANet: A Dynamic Density-Region-Aware Network for Crowd Counting
Abstract: In recent years, crowd counting has garnered increasing attention due to its wide range of societal applications. However, the vast differences in crowd density distributions across various ...
IEEE5d
FPI-FBG Cascaded High-Temperature Pressure Sensor up to 700 °C Based on Vernier Effect Utilizing Femtosecond Laser
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
IEEE7d
A Joint UAV Trajectory, User Association, and Beamforming Design Strategy for Multi-UAV-Assisted ISAC Systems
Abstract: In this article, we investigate a resource allocation problem for a multiunmanned aerial vehicle (UAV) assisted integrated sensing and communication (ISAC) system, where a group of ...
IEEE10d
Explicit Background Endmember Learning for Hyperspectral Anomaly Detection
Abstract: Hyperspectral anomaly detection (HAD) is challenging especially when anomalies appear in the form of subpixels. Since the spectral signatures of anomalies in mixed pixels are mixed with ...
IEEE11d
Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion
Abstract: Anchor graph has been recently proposed to accelerate multi-view graph clustering and widely applied in various large-scale applications. Different from capturing full instance relationships ...
IEEE17d
Modeling and Analysis of Oblique-Chamber and Symmetric Oblique-Chamber Pneu-Net Soft Actuators
Abstract: Oblique-chamber pneu-net soft actuators (OC-PNSAs) exhibit helical deformation upon inflation. The symmetric oblique-chamber pneu-net soft actuator (SOC-PNSA) consists of two symmetric ...
IEEE18d
Iterative Low-Rank Network for Hyperspectral Image Denoising
Abstract: Hyperspectral image (HSI) denoising is a crucial preprocessing step for subsequent tasks. The clean HSI usually reside in a low-dimensional subspace, which can be captured by low-rank and ...
IEEE18d
IGE-LIO: Intensity Gradient Enhanced Tightly Coupled LiDAR-Inertial Odometry
Abstract: Simultaneous localization and mapping (SLAM) plays an important role in the state estimation of mobile robots. Most popular LiDAR SLAM (L-SLAM) methods extract feature points only from the ...
IEEE19d
A Streaming Feature Selection Method Based on Dynamic Feature Clustering and Particle Swarm Optimization
Abstract: Feature selection is an effective data preprocessing technique. In some practical applications, features may continuously arrive one by one or by groups, and we cannot know the exact number ...
IEEE21d
Exploring Vision-Language Foundation Model for Novel Object Captioning
Abstract: It is always well believed that pre-trained vision-language foundation models (e.g., CLIP) would substantially facilitate vision-language tasks. Nevertheless, there has been less evidence in ...
IEEE22d
Has China's Carbon Emissions Trading Policy Induced Energy Conservation and Emissions Reduction in the Power Sector?
Abstract: China's carbon emissions trading (CET) policy is a major market-oriented environmental policy that promotes energy conservation and emissions reduction. However, it is still in the initial ...
IEEE22d
Capacity Maximization for Base Station With Hybrid Fixed and Movable Antennas
Abstract: Six-dimensional movable antenna (6DMA) is an effective solution for enhancing wireless network capacity through the adjustment of both 3D positions and 3D rotations of distributed antenna ...