國立虎尾科技大學 |

Sustainable Intelligent Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Sustainable Intelligent Systems/ edited by Amit Joshi, Atulya K. Nagar, Gabriela Marín-Raventós.
other author:	Joshi, Amit.
Description:	XII, 282 p. 106 illus., 63 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-33-4901-8
ISBN:	9789813349018

Sustainable Intelligent Systems
Sustainable Intelligent Systems[electronic resource] /edited by Amit Joshi, Atulya K. Nagar, Gabriela Marín-Raventós. - 1st ed. 2021. - XII, 282 p. 106 illus., 63 illus. in color.online resource. - Advances in Sustainability Science and Technology,2662-6837. - Advances in Sustainability Science and Technology,.

Chapter 1. Performance Analysis of Classification Algorithms Used For Software Defect Prediction -- Chapter 2. Early Detection of Diseases in Precision Agriculture Processes Supported By Technology -- Chapter 3. Artificial Intelligence Sustainability Ensured by Convergent Cognitive Semantics -- Chapter 4. Personal Data as a Critical Element of Sustainable Systems - Comparison of Selected Data Anonymization Techniques -- Chapter 5. Sustainable Solutions for Overcoming Transportation and Pollution Problems in Smart Cities -- Chapter 6. DLT-Based CO2 Emission Trading System: Verifiable Emission Intensities of Imports -- Chapter 7. Estimation of People Density to Reduce Coronavirus Propagation -- Chapter 8. Digital Twins Based LCA and ISO 20140 for Smart and Sustainable Manufacturing Systems -- Chapter 9. Integrated Smart System for Robotic Assisted Living -- Chapter 10. Latin American Smart University: Key Factors for a User-Centered Smart Technology Adoption Model -- Chapter 11. Study of Technological Solutions in the Analysis of Behavioral Factors for Sustainability Strategies -- Chapter 12. Using Deterministic Theatre for Energy Management in Smart Environments -- Chapter 13. Design and Synthesis of Filter Bank Structures Based on Constrained Least Square Method Using Hybrid Computing for Audiogram Matching in Digital Hearing Aids -- Chapter 14. Genetic Sequence Alignment Computing for Ensuring Cyber Security of the Iot Systems -- Chapter 15. A Concept of Operations to Embody the Utilization of a Distributed Test, Track and Track System for Epidemic Containment Management.

This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

ISBN: 9789813349018

Standard No.: 10.1007/978-981-33-4901-8doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Sustainable Intelligent Systems
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520 $a This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.
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