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Safety Evaluation of Bridge underMoving Abnormal Indivisible Load Based on Fusing Bridge Inspection Data and Load Test Data
《Structural Durability & Health Monitoring》2025年第3期499-530,共32页He Zhang He-Qing Mu Xiao Zhang He Zhang Yuedong Yang 
funded by the Science and Technology Development Fund(SKLIOTSC(UM)-2021-2023);the State Key Laboratory of Internet of Things for Smart City(University of Macao)(SKL-IoTSC(UM)-2024-2026/ORP/GA07/2023);Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology(2021B1212040003).
Safety evaluation of a bridge under Moving Abnormal Indivisible Loads(MAILs)directly relates to whether an oversized and/or overweight Large-Cargo Transportation(LCT)vehicle is permitted to pass the bridge.Safety eval...
关键词：Moving loads moving abnormal indivisible load large-cargo transportation vehicle load-bearing capacity bridge reliability bridge safety evaluation reliability updating 
HMFM: A Method for Identifying High-Value Patents by Fusing Multiple Features
《Computers, Materials & Continua》2025年第2期2235-2254,共20页Na Deng Jiuan Zhang 
Rapid and accurate identification of high-quality patents can accelerate the transformation process of scientific and technological achievements, optimize the management of intellectual property rights and enhance the...
关键词：Patents high value assessment deep learning structural entropy complex networks BERT DPCNN 
FCDFusion: A fast, low color deviation method for fusing visible and infrared image pairs
《Computational Visual Media》2025年第1期195-211,共17页Hesong Li Ying Fu 
supported by the National Natural Science Foundation of China under Grant Nos.62171038,61827901,and 62088101.
Visible and infrared image fusion(VIF)aims to combine information from visible and infrared images into a single fused image.Previous VIF methods usually employ a color space transformation to keep the hue and saturat...
关键词：infrared images visible and infrared image fusion(VIF) gamma correction real-time display color metrics color deviation 
A Unified Model Fusing Region of Interest Detection and Super Resolution for Video Compression
《Computers, Materials & Continua》2024年第6期3955-3975,共21页Xinkun Tang Feng Ouyang Ying Xu Ligu Zhu Bo Peng 
funded by National Key Research and Development Program of China(No.2022YFC3302103).
High-resolution video transmission requires a substantial amount of bandwidth.In this paper,we present a novel video processing methodology that innovatively integrates region of interest(ROI)identification and super-...
关键词：Super resolution region of interest detection video compression 
Fu-Rec:Multi-Task Learning Recommendation Model Fusing Neighbor-Discrimination and Self-Discrimination
《Wuhan University Journal of Natural Sciences》2024年第2期134-144,共11页ZHENG Sirui HUANG Bo LIU Jin ZENG Guohui YIN Ling LI Zhi SUN Tie 
Supported by the Scientific and Technological Innovation 2030-Major Project of New Generation Artificial Intelligence(2020AAA0109300);Science and Technology Commission of Shanghai Municipality(21DZ2203100);2023 Anhui Province Key Research and Development Plan Project-Special Project of Science and Technology Cooperation(2023i11020002)。
In recent years,self-supervised learning has achieved great success in areas such as computer vision and natural language processing because it can mine supervised signals from unlabeled data and reduce the reliance o...
关键词：self-supervised learning recommendation system contrastive learning multi-task learning 
Fake News Detection Based on Text-Modal Dominance and Fusing Multiple Multi-Model Clues
《Computers, Materials & Continua》2024年第3期4399-4416,共18页Li fang Fu Huanxin Peng Changjin Ma Yuhan Liu 
This research was funded by the General Project of Philosophy and Social Science of Heilongjiang Province,Grant Number:20SHB080.
In recent years,how to efficiently and accurately identify multi-model fake news has become more challenging.First,multi-model data provides more evidence but not all are equally important.Secondly,social structure in...
关键词：Fake news detection cross-modal attention mechanism multi-modal fusion social network transfer learning 
Enhancing Image Description Generation through Deep Reinforcement Learning:Fusing Multiple Visual Features and Reward Mechanisms
《Computers, Materials & Continua》2024年第2期2469-2489,共21页Yan Li Qiyuan Wang Kaidi Jia 
This research was funded by the Natural Science Foundation of Gansu Province with Approval Numbers 20JR10RA334 and 21JR7RA570;Funding is provided for the 2021 Longyuan Youth Innovation and Entrepreneurship Talent Project with Approval Number 2021LQGR20;the University Level Innovation Project with Approval NumbersGZF2020XZD18;jbzxyb2018-01 of Gansu University of Political Science and Law.
Image description task is the intersection of computer vision and natural language processing,and it has important prospects,including helping computers understand images and obtaining information for the visually imp...
关键词：Image description deep reinforcement learning attention mechanism 
Fusing Satellite Images Using ABC Optimizing Algorithm
《Computer Systems Science & Engineering》2023年第9期3901-3909,共9页Nguyen Hai Minh Nguyen Tu Trung Tran Thi Ngan Tran Manh Tuan 
Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,...
关键词：Remote sensing image satellite images image fusion WAVELET PSNR optimization ABC 
Fusing Supervised and Unsupervised Measures for Attribute Reduction
《Intelligent Automation & Soft Computing》2023年第7期561-581,共21页Tianshun Xing Jianjun Chen Taihua Xu Yan Fan 
supported by the National Natural Science Foundation of China(Grant Nos.62006099,62076111);the Key Research and Development Program of Zhenjiang-Social Development(Grant No.SH2018005);the Natural Science Foundation of Jiangsu Higher Education(Grant No.17KJB520007);Industry-school Cooperative Education Program of the Ministry of Education(Grant No.202101363034).
It is well-known that attribute reduction is a crucial action of rough set.The significant characteristic of attribute reduction is that it can reduce the dimensions of data with clear semantic explanations.Normally,t...
关键词：Approximation quality attribute reduction conditional entropy neighborhood rough set 
Fusing Spatio-Temporal Contexts into DeepFM for Taxi Pick-Up Area Recommendation被引量：1
《Computer Systems Science & Engineering》2023年第6期2505-2519,共15页Yizhi Liu Rutian Qing Yijiang Zhao Xuesong Wang Zhuhua Liao Qinghua Li Buqing Cao 
supported by the National Natural Science Foundation of China(41871320,61873316);the Key Project of Hunan Provincial Education Department(19A172);the Scientific Research Fund of Hunan Provincial Education Department(18K060);the Postgraduate Scientific Research Innovation Project of Hunan Province(CX20211000).
Short-term GPS data based taxi pick-up area recommendation can improve the efficiency and reduce the overheads.But how to alleviate sparsity and further enhance accuracy is still challenging.Addressing at these issues...
关键词：Location-based service(LBS) trajectory data mining offline-toonline(O2O)recommendation deep factorization machine(DeepFM) spatiotemporal context 
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