Results 1 to 10 of about 361,099 (313)

PolSAR Image Classification Based on Relation Network with SWANet

Remote Sensing, 2023
Deep learning and convolutional neural networks (CNN) have been widely applied in polarimetric synthetic aperture radar (PolSAR) image classification, and satisfactory results have been obtained.
Wenqiang Hua, Yurong Zhang, Cong Zhang, Xiaomin Jin   +3 more
doaj   +1 more source

A syndrome differentiation model of TCM based on multi-label deep forest using biomedical text mining

Frontiers in Genetics, 2023
Syndrome differentiation and treatment is the basic principle of traditional Chinese medicine (TCM) to recognize and treat diseases. Accurate syndrome differentiation can provide a reliable basis for treatment, therefore, establishing a scientific ...
Lejun Gong, Lejun Gong, Jindou Jiang, Shiqi Chen, Mingming Qi   +4 more
doaj   +1 more source

Why Questions on Time-Aware Spatial Keyword Queries in Traffic Networks

IEEE Access, 2022
Time-aware spatial keyword queries in traffic networks ( $TSKQT$ ) aim to retrieve top- $k$ result objects based on the ranking score considering spatial proximity, textual relevance, and temporal similarity simultaneously. However, due to inappropriate
Xiao Jia, Yanhong Li, Yihua Lan, Jinliang Huang, Xingang Zhang   +4 more
doaj   +1 more source

Learning Local–Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection

Sensors, 2021
Visual object tracking is a significant technology for camera-based sensor networks applications. Multilayer convolutional features comprehensively used in correlation filter (CF)-based tracking algorithms have achieved excellent performance.
Jianming Zhang, Yang Liu, Hehua Liu, Jin Wang   +3 more
doaj   +1 more source

A dynamic distributed edge-cloud manufacturing with improved ADMM algorithms for mass personalization production

Journal of King Saud University: Computer and Information Sciences, 2023
The primary feature of Industry 4.0 is MPP (mass personalization production), which requires that consumers’ individual requests are met in large-scale production.
Chen Dong, JiHai Luo, Qiyu Hong, Zhenyi Chen, Yuzhong Chen   +4 more
doaj   +1 more source

Heterogeneous Distance Learning Based on Kernel Analysis-Synthesis Dictionary for Semi-Supervised Image to Video Person Re-Identification

IEEE Access, 2020
Image to video person re-identification (IVPR), i.e., matching between pedestrian video and image, is an important task in practice. Although several methods have been presented for IVPR, most of these methods investigate the IVPR problem under the ...
Xiaoke Zhu, Pengfei Ye, Xiao-Yuan Jing, Xinyu Zhang, Xiang Cui, Xiaopan Chen, Fan Zhang   +6 more
doaj   +1 more source

Group recommendation based on hybrid trust metric

Automatika, 2020
Group recommendation is a special service type which has the ability to satisfy a group’s common interest and find the preferred items for group users. Deep mining of trust relationship between group members can contribute to the improvement of accuracy ...
Haiyan Wang, Dongdong Chen, Jiawei Zhang
doaj   +1 more source

Text Mining for Processing Interview Data in Computational Social Science

CoRR, 2020
We use commercially available text analysis technology to process interview text data from a computational social science study. We find that topical clustering and terminological enrichment provide for convenient exploration and quantification of the responses.
Jussi Karlgren, Renee Li, Eva M. Meyersson Milgrom   +2 more
openaire   +2 more sources

Research on Generic Optical Remote Sensing Products: A Review of Scientific Exploration, Technology Research, and Engineering Application

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
With the initial establishment of global earth observation system in various countries, more and more high-resolution remote sensing data of multisource, multitemporal, multiscale, and different types of satellites are obtained.
Yang Liu, Xianyu Zuo, Junfeng Tian, Shenshen Li, Kun Cai, Wanjun Zhang   +5 more
doaj   +1 more source

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua, Cong Zhang, Wen Xie, Xiaomin Jin   +3 more
doaj   +1 more source