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检索条件"主题词=CLOUD computing"
72556 条 记 录,以下是51-60 订阅
排序:
An AIoT-driven smart healthcare framework for zoonoses detection in integrated fog-cloud computing environments
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SOFTWARE-PRACTICE & EXPERIENCE 2025年 第1期55卷 133-154页
作者: Verma, Prabal Gupta, Aditya Jain, Vibha Shashvat, Kumar Kumar, Mohit Gill, Sukhpal Singh Natl Inst Technol Dept Informat Technol Srinagar India Thapar Inst Engn & Technol Dept Elect & Instrumentat Engn Patiala India Thapar Inst Engn & Technol Dept Comp Sci & Engn Patiala Punjab India Amity Univ Amity Sch Engn & Technol Dept Comp Sci & Engn Bengaluru India Natl Inst Technol Dept Informat Technol Jalandhar India Queen Mary Univ London Sch Elect Engn & Comp Sci London England
The escalating threat of easily transmitted diseases poses a huge challenge to government institutions and health systems worldwide. Advancements in information and communication technology offer a promising approach ... 详细信息
来源: 评论
Research on Image Recognition and Classification Algorithms in cloud computing Environment Based on Deep Neural Networks
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IEEE ACCESS 2025年 13卷 19728-19754页
作者: Jia, Zheshu Binzhou Polytech Informat Engn Inst Binzhou 256603 Shandong Peoples R China
Image recognition provides an essential role in many areas of modern life, such as security, video analysis, healthcare, and autonomous vehicles. The present article analyzes the evolution of image recognition via the... 详细信息
来源: 评论
Hybrid Electro search beetle optimization based task scheduling and game theory SOA based resource allocation in multi cloud computing
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SOFTWARE-PRACTICE & EXPERIENCE 2025年 第2期55卷 307-331页
作者: Sreelatha, Gavini Reddy, C. Kishor Kumar Hanafiah, Marlia Mohd Mohana, R. Madana Stanley Coll Engn & Technol Women Dept Informat Technol Hyderabad 500001 Telangana India Stanley Coll Engn & Technol Women Dept Comp Sci Engn Hyderabad 500001 Telangana India Univ Kebangsaan Malaysia Fac Sci & Technol Dept Earth Sci & Environm Bangi 43600 Selangor Malaysia Univ Kebangsaan Malaysia Inst Climate Change Ctr Trop Climate Change Syst Bangi 43600 Selangor Malaysia Chaitanya Bharathi Inst Technol Dept Artificial Intelligence & Data Sci Hyderabad 500075 Telangana India
The most complicated process in multi-cloud computing is resource allocation, as it needs to cope with a number of configurations and constraints of cloud providers and customers. At the time of resource allocation, t... 详细信息
来源: 评论
A heuristic task scheduling algorithm in cloud computing environment: an overall cost minimization approach
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CLUSTER computing-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2025年 第2期28卷 1-33页
作者: Boroumand, Ali Shirvani, Mirsaeid Hosseini Motameni, Homayun Islamic Azad Univ Dept Comp Engn Sari Branch Sari Iran
With the advancement of the cloud computing environment, the users' expectations to gain better services significantly increased. One of the most prominent parts of cloud systems is the task scheduling concept in ... 详细信息
来源: 评论
Modified Neural Network Used for Host Utilization Predication in cloud computing Environment
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Computers, Materials & Continua 2025年 第3期82卷 5185-5204页
作者: Arif Ullah Siti Fatimah Abdul Razak Sumendra Yogarayan Md Shohel Sayeed Centre for Intelligent Cloud Computing Multimedia UniversityMelaka75450Malaysia Faculty of Information Science and Technology Multimedia UniversityMelaka75450Malaysia
Networking,storage,and hardware are just a few of the virtual computing resources that the infrastruc-ture service model offers,depending on what the client *** essential aspect of cloud computing that improves resour... 详细信息
来源: 评论
AE-CIAM: a hybrid AI-enabled framework for low-rate DDoS attack detection in cloud computing
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CLUSTER computing-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2025年 第2期28卷 1-28页
作者: Najar, Ashfaq Ahmad Naik, S. Manohar Cent Univ Kerala Dept Comp Sci Tejaswini Hills Periye 671320 Kerala India
cloud computing has gained popularity due to its scalability, cost-effectiveness, on-demand provisioning, pay-as-you-go billing, and enhanced accessibility. Recognizing these benefits, government agencies and industri... 详细信息
来源: 评论
Analyzing the trend of government support for cloud computing usage in e-government architecture
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JOURNAL OF cloud computing-ADVANCES SYSTEMS AND APPLICATIONS 2025年 第1期14卷 1-17页
作者: Younus, Muhammad Purnomo, Eko Priyo Nurmandi, Achmad Mutiarin, Dyah Manaf, Halimah Abdul Mumtaz, Fathiya Khairunnisa, Tiara Univ Muhammadiyah Yogyakarta Dept Govt Affairs & Adm Yogyakarta Indonesia TPL Logist Pvt Ltd Dept Prod Res & Software Dev Karachi Pakistan Univ Utara Malaysia UUM Coll Law Govt & Int Studies Changlun Kedah Malaysia
The revolution in improving services to the community carried out by the current government is genuine. It is not easy for government organizations, especially local governments, to directly implement e-government ser... 详细信息
来源: 评论
Privacy-Preserving Contact Query Processing Over Trajectory Data in Mobile cloud computing
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IEEE TRANSACTIONS ON MOBILE computing 2025年 第3期24卷 1818-1832页
作者: Lu, Qu Dai, Hua Li, Pengyue Wan, Shuyan Yang, Geng Xiang, Yang Xiao, Fu Nanjing Univ Posts & Telecommun Sch Comp Sci Nanjing 210003 Peoples R China Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing 210003 Peoples R China Swinburne Univ Technol Sch Software & Elect Engn Hawthorn Vic 3122 Australia
With the expansion of mobile devices and cloud computing, massive spatial trajectory data is generated and outsourced to the cloud for storage and analysis, enabling location-based mobile computing services. However, ... 详细信息
来源: 评论
Modified parallel PSO algorithm in cloud computing for performance improvement
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CLUSTER computing-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2025年 第2期28卷 1-16页
作者: Pradhan, Arabinda Das, Amardeep Bisoy, Sukant Kishoro GIET Bhubaneswar Odisha India CV Raman Global Univ Bhubaneswar Odisha India
For accessing required services in cloud computing, user submits its task to the cloud datacentre for processing. Therefore, two challenges have been faced by datacentre controllers such as finding the best resources ... 详细信息
来源: 评论
Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced cloud computing Environments
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IEEE TRANSACTIONS ON BIG DATA 2025年 第1期11卷 174-189页
作者: Park, Jeongsu Lee, Dong Hoon Korea Univ Grad Sch Informat Secur Seoul 02841 South Korea
As a Big Data analysis technique, hierarchical clustering is helpful in summarizing data since it returns the clusters of the data and their clustering history. cloud computing is the most suitable option to efficient... 详细信息
来源: 评论