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Titlebook: Intelligence in Big Data Technologies—Beyond the Hype; Proceedings of ICBDC J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi Conference pr

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发表于 2025-3-21 18:15:13 | 显示全部楼层 |阅读模式
书目名称Intelligence in Big Data Technologies—Beyond the Hype
副标题Proceedings of ICBDC
编辑J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi
视频videohttp://file.papertrans.cn/470/469318/469318.mp4
概述Covers the latest developments in big data technologies.Discusses applications of big data analytics and cloud computing.Explores sensitive data handling in cloud storage systems
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Intelligence in Big Data Technologies—Beyond the Hype; Proceedings of ICBDC J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi Conference pr
描述This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.
出版日期Conference proceedings 2021
关键词Big Data; Data Analytics; Cloud Infrastructure for Big Data; Resource Scheduling; Data Models; Machine Le
版次1
doihttps://doi.org/10.1007/978-981-15-5285-4
isbn_softcover978-981-15-5287-8
isbn_ebook978-981-15-5285-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Enhancing Intricate Details of Ultrasound PCOD Scan Images Using Tailored Anisotropic Diffusion Fil in women if not detected early. PCOD is analyzed by using ultrasound B-scan modality images. One of the challenging tasks in medical image analysis is speckle noise reduction problem. To eradicate unwanted noise in the B-scan representation of image which is low cost and noninvasive for noise remov
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LSTM and GRU Deep Learning Architectures for Smoke Prediction System in Indoor Environment,d to detect the severity of smoke as early as possible as smoke develops rapidly, and the officials must be alerted on the situation immediately. So, in this paper, we present a method that would make use of the camera feeds and take the images frame by frame to detect the presence and progress of s
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Smart Solution for Waste Management: A Coherent Framework Based on IoT and Big Data Analytics,icient waste management system is one of the major problems of society; there is an ultimate need to address this problem. Waste management is important, mainly because scrapped waste can cause health, safety, economic, and environmental problems. The IoT-based companies and government are taking up
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