Data science and innovations for intelligent systems computational excellence and society 5.0 / edited by Kavita Taneja, Harmunish Taneja, Kuldeep Kumar, Arvind Selwal, Ouh Lieh.

Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, 2022.
Description1 online resource
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Other author/creatorTaneja, Kavita.
Other author/creatorTaneja, Harmunish.
Other author/creatorKumar, Kuldeep, (Professor of computer science)
Other author/creatorSelwal, Arvind.
Other author/creatorOuh, Lieh (Eng Lieh)
Contents Quantum computing : computational excellence for society 5.0 / Paul R. Griffin, Michael Boguslavsky, Junye Huang, Robert J. Kauffman, and Brian R. Tan -- Prediction models for accurate data analysis : innovations in data science / Balwinder Kaur, Anu Gupta, R.K. Singla -- Software engineering paradigm for real-time accurate decision making for code smell prioritization / Randeep Singh, Amit Bindal, and Dr. Ashok Kumar -- Evaluating machine learning capabilities for predicting joining behavior of freshmen students enrolled at institutes of higher education : case study from a novel problem domain / Pawan Kumar and Manmohan Sharma -- Image processing for knowledge management and effective information extraction for improved cervical cancer diagnosis / Jaya. S and Latha. M -- Recreating efficient framework for resource constrained environment : HR analytics and its trends for society 5.0 / Kamakshi Malik, Rakesh K. Wats, Aman Khera -- Integration of internet of things (IoT) in health care industry : an overview of benefits, challenges and applications / Afshan Hassan, Devendra Prasad, Meenu Khurana, Umesh Kumar Lilhore, and Sarita Simaiya -- Cloud, edge and fog computing : trends and case studies / Eng Lieh Ouh, Stanislaw Jarzabek, Geok Shan Lim, and Ogawa Masayoshi -- A paradigm shift for computational excellence from traditional machine learning to modern deep learning based image steganalysis / Neelam Swarnkar, Arpana Rawal, and Gulab Patel -- Feature engineering for presentation attack detection in face recognition : a paradigm shift from conventional to contemporary data-driven approaches / Deepika Sharma and Arvind Selwal -- Reconfigurable binary neural networks hardware accelerator for accurate data analysis in intelligent systems / A. Kamaraj and J. Senthil Kumar -- Recommender system : techniques for better decision making for society 5.0 / Asha Rani, Kavita Taneja, and Harmunish Taneja -- Implementation of smart irrigation system using intelligent systems and machine learning approaches / Raghuraj Singh, Ashutosh Deshwal, and Kuldeep Kumar -- Light-weight cryptography using a trust-based system for internet of things (IoT) / Amit Chadgal and Arvind Selwal -- Innovation in healthcare for improved pneumonia diagnosis with gradient-weighted class activation map visualization / Guramritpal Singh Saggu, Keshav Gupta, and Palvinder Singh Mann.
Abstract "This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Data science and innovations for intelligent systems First edition. Boca Raton : CRC Press, 2022 9780367676278
Genre/formElectronic books.
LCCN 2021017709
ISBN9781000456165 (epub)
ISBN9781003132080 (ebook)
ISBN(hardback)
ISBN(paperback)

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