Results 11 to 20 of about 851,430 (332)

Research on the Application of Multi-Source Information Fusion in Multiple Gait Pattern Transition Recognition

Sensors, 2022
Multi-source information fusion technology is a kind of information processing technology which comprehensively processes and utilizes multi-source uncertain information.
Chaoyue Guo, Qiuzhi Song, Yali Liu
doaj   +1 more source

Multi-Feature Fusion Algorithm in VR Panoramic Image Detail Enhancement Processing

IEEE Access, 2020
VR panoramic image is an image technology that covers a wide range of scenes. Its imaging range is much larger than that of traditional imaging systems, and it can fully reflect all the information of the imaging space.
Minling Zhu, Xiaomo Yu
doaj   +1 more source

ConCs-Fusion: A Context Clustering-Based Radar and Camera Fusion for Three-Dimensional Object Detection

Remote Sensing, 2023
Multi-modality three-dimensional (3D) object detection is a crucial technology for the safe and effective operation of environment perception systems in autonomous driving.
Wei He, Zhenmiao Deng, Yishan Ye, Pingping Pan   +3 more
doaj   +1 more source

Model Selection of Hybrid Feature Fusion for Coffee Leaf Disease Classification

IEEE Access, 2023
Coffee leaf diseases can significantly impact the productivity and quality of the crops. Accurate and timely identification of these diseases is crucial for effective management and control.
Muhamad Faisal, Jenq-Shiou Leu, Jeremie T. Darmawan   +2 more
doaj   +1 more source

Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency. [PDF]

Brief Bioinform
Gong D, Xie X, Tang J, Li S, Li H.
europepmc   +2 more sources

Lightweight Network DCR-YOLO for Surface Defect Detection on Printed Circuit Boards

Sensors, 2023
To resolve the problems associated with the small target presented by printed circuit board surface defects and the low detection accuracy of these defects, the printed circuit board surface-defect detection network DCR-YOLO is designed to meet the ...
Yuanyuan Jiang, Mengnan Cai, Dong Zhang
doaj   +1 more source

A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals

Frontiers in Neuroscience, 2023
Emotion recognition is a challenging task, and the use of multimodal fusion methods for emotion recognition has become a trend. Fusion vectors can provide a more comprehensive representation of changes in the subject's emotional state, leading to more ...
Baole Fu, Baole Fu, Chunrui Gu, Chunrui Gu, Ming Fu, Ming Fu, Yuxiao Xia, Yuxiao Xia, Yinhua Liu, Yinhua Liu, Yinhua Liu   +10 more
doaj   +1 more source

Medical Image Fusion with Local-Global Feature Coupling and Cross-Scale Attention [PDF]

Jisuanji gongcheng, 2023
To address the insufficient global feature representation in existing deep learning-based multimodal medical image fusion methods, this study proposes a medical image fusion method based on local-global feature coupling and cross-scale attention.The ...
ZHANG Jiong, WANG Lifang, LIN Suzhen, QIN Pinle, MI Jia, LIU Yang
doaj   +1 more source

Convolutional Neural Network Approach Based on Multimodal Biometric System with Fusion of Face and Finger Vein Features

Sensors, 2022
In today’s information age, how to accurately identify a person’s identity and protect information security has become a hot topic of people from all walks of life.
Yang Wang, Dekai Shi, Weibin Zhou
doaj   +1 more source

Multi-View Joint Learning and BEV Feature-Fusion Network for 3D Object Detection

Applied Sciences, 2023
Traditional 3D object detectors use BEV (bird’s eye view) feature maps to generate 3D object proposals, but in a single BEV feature map, there are inevitably the problems of high compression and information loss. To solve this problem, we propose a multi-
Qunming Liu, Xiaodong Li, Xiaofei Zhang, Xiaojun Tan, Bodong Shi   +4 more
doaj   +1 more source