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Can I read Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications on EtoBox?
Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications by Pankaj Srivastava, M. Lellis Thivagar, Georgia Irina Oros, Chai Ching Tan is a nonfiction available to read on EtoBox.
What is Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications about?
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.
Who reads Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Pankaj Srivastava, M. Lellis Thivagar, Georgia Irina Oros, Chai Ching Tan
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789811951817
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Management
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