Results 41 to 50 of about 515 (170)
G‐AGF Net: Gated Radar‐Camera Fusion via Anisotropic Gaussian Guidance
G‐AGF Net is a physically‐aware radar‐camera fusion framework for robust 3D object detection. By introducing geometry‐aware radar representation and adaptive cross‐modal feature learning, the proposed method significantly improves visual perception under challenging conditions such as nighttime and adverse weather.
Yuting Lin, Jiaming Huang, Guorong Chen
wiley +1 more source
CRAVEN: A Camera–Radar Attention‐Based Voxel Encoding Network for 3D Object Detection
(1) A multiscale aggregation modelling strategy is introduced to effectively capture local geometric structures of sparse radar point clouds. (2) An attention‐based pillar representation framework is proposed for 4D mmWave radar point clouds, replacing heuristic voxel aggregation with learnable attention‐based modelling to significantly enhance feature
Dong Wang, Junsheng Huang, Zhe Zhang
wiley +1 more source
Informacje o wynikach działalności jednostek gospodarczych, sporządzających sprawozdanie finansowej według MSSF, prezentowane są w sprawozdaniu z całkowitych dochodów.
Małgorzata Rówińska
doaj +3 more sources
The European Union One Health 2024 Zoonoses Report
Abstract This report by the European Food Safety Authority and the European Centre for Disease Prevention and Control presents the results of zoonoses monitoring and surveillance activities carried out in 2024 in 27 Member States (MSs), the United Kingdom (Northern Ireland) and eight non‐MSs, according to the Zoonoses Directive 2003/99/EC.
European Food Safety Authority (EFSA) | European Centre for Disease Prevention and Control (ECDC)
wiley +1 more source
Understory plant communities in pitch pine (Pinus rigida) barrens show distinct species abundance and structural attributes associated with different restoration strategies. We investigated the impacts of four management approaches, along with untreated control sites across four states in the Northeast United States.
Kathleen A. Stutzman +2 more
wiley +1 more source
A 6.6‐GHz Dual‐Path Reference‐Sampling PLL With 139.6‐fs RMS Jitter and −75.2‐dBc Spur in 28‐nm CMOS
This paper presents a dual‐path reference‐sampling phase‐locked loop (RSPLL) with low RMS jitter, low reference spur, and compact area. The proposed RSPLL is implemented in a 28‐nm CMOS process. With a 100‐MHz input reference, the prototype achieves 139.6‐fs RMS jitter (1 kHz‐100 MHz), −75.2‐dBc reference spur and −250.5‐dB FOM.
Yanzhe Kang +9 more
wiley +1 more source
Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning
This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr +3 more
wiley +1 more source
2D human skeleton action recognition with spatial constraints
(1) A novel 2D human skeleton action recognition model with spatial constraints, named 2D‐SCHAR, is introduced to address the ambiguity and uncertainty associated with human action recognition in 2D surveillance videos. (2) These issues stem from the absence of depth information in the action data, thus we concentrate on two main challenges: depth ...
Lei Wang +4 more
wiley +1 more source
Landsat-8 and Sentinel-2 Image Fusion Based on Multiscale Smoothing-Sharpening Filter
With the increasing demand for high temporal and spatial resolution multispectral image sequences, many studies have been carried out on fusion on Landsat-8 and Sentinel-2 images to obtain image sequences with a revisit cycle of 2 and 3 days and a ...
Peng Wang +7 more
doaj +1 more source
Multi‐scale feature aggregation network for single‐image dehazing
This paper proposes a Multi‐Scale Feature Aggregation Network for Single‐Image Dehazing with competitive model complexity. Extensive experimental results show that the authors’ proposed dehazing network achieves state‐of‐the‐art dehazing performance with relatively low computational cost. Abstract Transformer possesses a broader perceptual scope, while
Donghui Zhao, Bo Mo, Xiang Zhu
wiley +1 more source

