http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Using traditional design methods to enhance AI-driven decision making
1 online resource ( xxv, 503 pages) : illustrations (some color).
Section 1. AI-driven decision making in healthcare and environmental sciences: nurturing wellness, sustaining nature -- navigating AI frontiers in healthcare and environmental science. Chapter 1. AI-driven decision-making applications in pharmaceutical sciences ; Chapter 2. AI clinical decision support system (AI-CDSS) for cardiovascular diseases ; Chapter 3. AI-driven IoT (AIIoT) in healthcare monitoring ; Chapter 4. Artificial intelligence and machine learning models for Alzheimer's disease ; Chapter 5. A smart healthcare diabetes prediction system using ensemble of classifiers ; Chapter 6. AI-driven powered solution selection: navigating forests and fires for a sustainable future ; Chapter 7. AI-driven solution selection: prediction of water quality using machine learning ; Chapter 8. AI-decision support system: engineering, geology, climate, and socioeconomic aspects' implications on machine learning -- Section 2. Intelligent systems from optimal-MCDM shaping tomorrow: an in-depth analysis of decision-making applications in agriculture, judiciary, education, and others. Chapter 9. AI-driven learning analytics for personalized feedback and assessment in higher education ; Chapter 10. Integrating artificial intelligence in education for sustainable development ; Chapter 11. AI-driven decision-making applications in higher education ; Chapter 12. AI-driven decision-making and optimization in modern agriculture sectors ; Chapter 13. IoT-integrated machine learning-based automated precision agriculture-indoor farming techniques ; Chapter 14. Automated plant disease detection using efficient deep ensemble learning model for smart agriculture ; Chapter 15. Exploring the power of AI-driven decision making in the judicial domain: case studies, benefits, challenges, and solutions ; Chapter 16. AI-driven decision support system for intuitionistic fuzzy assignment problems ; Chapter 17. Enhanced YOLO algorithm for robust object detection in challenging nighttime and blurry, low vision ; Chapter 18. Smart speakers: a new normal lifestyle.
[Edited by] Tien V.T. Nguyen, Nhut T.M. Vo.
Includes bibliographical references and index.
Hershey, PA : Information Science Reference, [2024]
Advances in media, entertainment, and the arts (AMEA) book series