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检索条件"机构=Computer engineering and informatics"
20205 条 记 录,以下是101-110 订阅
排序:
Exploring the dynamics of creative tourism:A tourist-centric perspective to achieve economic sustainable development
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Journal of Mountain Science 2025年 第1期22卷 278-295页
作者: ZOU Fuxia Atefeh AHMADI DEHRASHID Mehmet AKIF CIFCI Emrah ARSLAN Nina KHALIGHI College of Tourism and Aviation Management Hunan Women's UniversityChangsha 410004China Faculty of Natural Resources Department of ClimatologyUniversity of KurdistanSanandaj ***Iran Member of Department of Zrebar Lake Economic-social Research Kurdistan Studies InstituteUniversity of KurdistanSanandaj ***Iran Department of Computer Engineering Bandirma Onyedi Eylul UniversityBalikesir 10200Türkiye Engineering and Informatics Department Klaipėdos ValstybinėKolegija/Higher Education InstitutionKlaipeda 92294Lithuania Engineering and Informatics Department KTO KaratayKonya 42020Türkiye Department of Urban Planning and Design Faculty of Art and ArchitectureUniversity of KurdistanSanandaj ***Iran
Creative tourism is a dynamic and innovative approach to tourism,which points out the importance of people's active participation and their immersion in such *** a vernacular context,it should attract people(local... 详细信息
来源: 评论
Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity  19
Towards Robust Federated Learning: Investigating Poisoning A...
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19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025
作者: Soubih, Abdenour Lahmer, Seyyid Ahmed Abuhamad, Mohammed Abuhmed, Tamer College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Department of Information Engineering University of Padova Padua Italy Department of Computer Science Loyola University Chicago Chicago United States
Federated Learning (FL) offers a privacy-preserving solution by enabling multiple clients to train a shared model collaboratively without centralizing data. However, the decentralized nature of FL presents challenges,... 详细信息
来源: 评论
Adjustable Gating Prompt Transformer for Facial Attribute Recognition with Limited Labeled Data  27th
Adjustable Gating Prompt Transformer for Facial Attribute R...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Ye, Qinxian Chen, Si Wang, Da-Han Jiang, Nanfeng Su, Yanfei Yan, Yan Fujian Key Laboratory of Pattern Recognition and Image Understanding School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China School of Informatics Xiamen University Xiamen361005 China
Existing supervised facial attribute recognition (FAR) methods that rely on large labeled datasets can pose a challenge in real-world scenarios. In the case of limited labeled data, the current methods that introduce ... 详细信息
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RGB-D Video Mirror Detection
RGB-D Video Mirror Detection
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IEEE Workshop on Applications of computer Vision (WACV)
作者: Mingchen Xu Peter Herbert Yu-Kun Lai Ze Ji Jing Wu School of Computer Science and Informatics Cardiff University School of Engineering Cardiff University
Mirror detection aims to identify mirror areas in a scene, with recent methods either integrating depth information (RGB-D) or making use of temporal information (video). However, utilizing both data is still under-ex... 详细信息
来源: 评论
The Novel DeepBoost Multi Output Regressor for Household Finance Intelligence
The Novel DeepBoost Multi Output Regressor for Household Fin...
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Advanced Research in Computing (ICARC), International Conference on
作者: S. H. S. V. Suwandaratna G. O. Priyankara Department of Computer Science and Engineering Informatics Institute of Technology Colombo Sri Lanka
This paper forecasts the microeconomic level household expenditures using a novel hybrid deep learning approach. In terms of research significance, household finance control has a major influence on the finance system... 详细信息
来源: 评论
Compact and Efficient Neural Networks for Image Recognition Based on Learned 2D Separable Transform
Compact and Efficient Neural Networks for Image Recognition ...
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Digital Signal Processing and its Applications (DSPA), International Conference on
作者: Maxim Vashkevich Egor Krivalcevich Department of Computer Engineering Belarusian State University of Informatics and Radioelectronics Minsk Belarus
The paper presents a learned two-dimensional separable transform (LST) that can be considered as a new type of computational layer for constructing neural network (NN) architecture for image recognition tasks. The LST... 详细信息
来源: 评论
TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators
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Multimedia Tools and Applications 2025年 第8期84卷 4503-4534页
作者: Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland
In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative ne... 详细信息
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Drone-Based Public Surveillance Using 3D Point Clouds and Neuro-Fuzzy Classifier
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computers, Materials & Continua 2025年 第3期82卷 4759-4776页
作者: Yawar Abbas Aisha Ahmed Alarfaj Ebtisam Abdullah Alabdulqader Asaad Algarni Ahmad Jalal Hui Liu Faculty of Computing and AI Air UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Computer Science and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea Cognitive Systems Lab University of BremenBremen28359Germany
Human Activity Recognition(HAR)in drone-captured videos has become popular because of the interest in various fields such as video surveillance,sports analysis,and human-robot ***,recognizing actions from such videos ... 详细信息
来源: 评论
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
DRDM: A Disentangled Representations Diffusion Model for Syn...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Huang, Enbo Zhang, Yuan Huang, Faliang Zhang, Guangyu Liu, Yang Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University Nanning China School of Computer and Information Engineering Nanning Normal University Nanning China College of Mathematics and Informatics South China Agricultural University Guangzhou China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China
Person image synthesis with controllable body poses and appearances is an essential task owing to the practical needs in the context of virtual try-on, image editing and video production. However, existing methods fac... 详细信息
来源: 评论
Questionable Fairness in Federated Learning  8
Questionable Fairness in Federated Learning
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8th International Conference on Data Science and Machine Learning Applications, CDMA 2025
作者: Alharbi, Raed Nguyen, Truc Yousefzadeh, Nooshin Aljohani, Ahmed National Renewable Energy Laboratory Computatioual Science Center GoldenCO United States University of Florida Computer and Information Science and Engineering Department GainesvilleFL United States College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia University of North Texas Computer Science and Engineering Denton United States
Federated learning (FL) has emerged as a powerful framework for training deep learning models across numerous distributed clients, where a central server distributes and aggregates model updates without accessing clie... 详细信息
来源: 评论