Selected Papers of WorldS4 2023, Volume 2 Nagar, Atulya K. editor. edt http://id.loc.gov/vocabulary/relators/edt Jat, Dharm Singh. editor. edt http://id.loc.gov/vocabulary/relators/edt Mishra, Durgesh Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt Joshi, Amit. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXII, 609 p. 191 illus., 157 illus. in color. online resource. This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field. Chapter “Toward More Sustainable Transportation: Green Vehicle Metrics for 2023 and 2024 Model Years” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 1. Robust Ownership Management for Secure Deduplication in Cloud -- 2. Cervical Cancer Prediction Using Machine Learning Techniques -- 3. Digital Transformation of University Course Filing using Information and Communication Technologies (ICT): A Sustainable Approach -- 4. Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output Accuracy -- 5. The Business-oriented Extension of the Sustainability Awareness Framework – a Design Science Study -- 6. An IoT-based Smart Waste Management System: Senegal SET -- 7. Social Media And Healthcare: Effectiveness Of Education About Covid-19 Vaccination To Improve Knowledge And Attitudes In Students -- 8. Job scheduling for Big Data processing in YARN to enhancing performance -- 9. Quantum machine learning in intrusion detection systems: A systematic mapping study -- 10. A comparative documentary analysis of the Brazilian Digital Transformation Strategies adopted in the Enabling Thematic Axes of 2018 and 2022. edited by Atulya K. Nagar, Dharm Singh Jat, Durgesh Kumar Mishra, Amit Joshi. Computational intelligence Artificial intelligence Telecommunication Computational Intelligence Artificial Intelligence Communications Engineering, Networks Q342 9789819978861 https://doi.org/10.1007/978-981-99-7886-1 https://doi.org/10.1007/978-981-99-7886-1 240408 20251030111810.0 978-981-99-7886-1