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Titlebook: Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications; Pankaj Srivastava,M. Lellis Thivagar,Chai Chin

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發(fā)表于 2025-3-21 17:41:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications
編輯Pankaj Srivastava,M. Lellis Thivagar,Chai Ching Ta
視頻videohttp://file.papertrans.cn/627/626680/626680.mp4
概述Discusses mathematical, computational intelligence and engineering approaches for tourism.Presents a unique combination of topics on tourism destination ranking.Appeals to faculty members, postgraduat
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications; Pankaj Srivastava,M. Lellis Thivagar,Chai Chin
描述.This book presents a collection of selected papers presented at the 22nd FAI International Conference on Mathematical, Computational Intelligence and Engineering Approaches to Healthcare, Business and Tourism Analytics (FAI-ICMCIE 2020), held at American College, Madurai, India, from 20–22 December 2020. This book discusses advanced mathematical concepts and computational intelligence approaches for: medical diagnostic approach in cardiac diseases, nano topology in medical diseases, stability of indicators in assessing business development, AI-guided paradigmatic competence in science and spirituality integration, neural network-TOPSIS analytics in hotel service quality, itinerary planning destination ranking tourism analytics, molecular modeling and docking simulation for unraveling medicinal properties, value-oriented approach on commercial banks security, Brownian motion in shares of the bank, internet of things linking to social media and e-commerce, and more, which are discussed by using fuzzy analytics, nano-topology, statistical, TOPSIS and neural network tools..
出版日期Book 2022
關(guān)鍵詞data analytics; health care analytics; business analytics; tourism analytics; intelligent systems; soft c
版次1
doihttps://doi.org/10.1007/978-981-19-5181-7
isbn_softcover978-981-19-5180-0
isbn_ebook978-981-19-5181-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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of their ability in reproducing daily streamflow. Nile hydrologist are advised to use TMPA 3B42RT over TMPA 3B42. Algorithm developers are advised to take a deeper look into their bias adjustment techniques especially in mountainous topography and rain gauge sparse regions.
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Pankaj Srivastava,Neeraja Sharma,Liliana Guranpes or from areas of exposed bedrock. Using these principles, a simple distributed watershed hydrology model was developed. The models reproduce the daily discharge pattern reasonably well for the small watershed and the 10-day discharge values for the whole Blue Nile Basin in Ethiopia. The simplici
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M. Lellis Thivagar,Carmel Richard,G. Kabin Antonyof their ability in reproducing daily streamflow. Nile hydrologist are advised to use TMPA 3B42RT over TMPA 3B42. Algorithm developers are advised to take a deeper look into their bias adjustment techniques especially in mountainous topography and rain gauge sparse regions.
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