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Empowering AI applications in smart life and environment
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Empowering AI applications in smart life and environment/ edited by Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha.
其他作者:
Taha, Mohamed Hamed N.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xiii, 243 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Mobile Computing. -
電子資源:
https://doi.org/10.1007/978-3-031-78038-7
ISBN:
9783031780387
Empowering AI applications in smart life and environment
Empowering AI applications in smart life and environment
[electronic resource] /edited by Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha. - Cham :Springer Nature Switzerland :2025. - xiii, 243 p. :ill. (some col.), digital ;24 cm.
Part-I Chapter 1-Smart Home Systems and Energy Efficiency in Daily Lives -- Chapter 2- Advanced Object Tracking for Empowering Smart Environments: A Comparative Review -- Chapter 3-Safeguarding Smart Infrastructure: A Review of Deep Learning Techniques for Automatic Pipeline Defect Detection -- Chapter 4-AI enabled Smart IoT data Platform -- Chapter 5-Automated Mango Quality Assessment in Smart Environments: A Custom YOLO Model for Surface Characteristic Analysis -- Chapter 6: Machine Learning and Deep Learning for Cybersecurity in Smart Environments -- Part-II Chapter 7-Deep Learning-Based Multiclass Skin Disease Diagnosis Toward Sustainable Healthcare -- Chapter 8-AI Integration Acceptance in Elderly Care Institutions: A Step Toward a Smarter Life -- Chapter 9 Using AI to Improve Post-Consumer Plastics Recycling for Sustainability in A Smart Environment.
"Empowering AI Applications in Smart Life and Environment" provides a comprehensive exploration of how artificial intelligence (AI) can transform smart environments and contribute to sustainable living. It investigates the integrating of AI with visual, audio, and haptic devices that can revolutionize energy optimization, intelligent transportation, healthcare management, smart farming, and smart homes. The book aims to highlight the latest research and developments in AI applications that drive the enhancement of smart environments and sustainable life. The chapters are divided into two broad parts, the first part of this book discusses "Artificial Intelligence in Smart Systems, Environments and Security" inclusive of, but not limited to AI-based energy efficiency, object detection, defect detection in smart infrastructure, AI-driven IoT platforms, and strategies of machine learning for cybersecurity. The second part entitled "Artificial Intelligence in Smart Healthcare and Sustainability" shows how AI helps in the multi-class diagnosis of skin diseases, elderly care, and enhancement of post-consumer plastics recycling. This book is an intense exercise in learning about the various ways AI can make environments smarter, sustainable, and secure.
ISBN: 9783031780387
Standard No.: 10.1007/978-3-031-78038-7doiSubjects--Topical Terms:
1115990
Mobile Computing.
LC Class. No.: Q335
Dewey Class. No.: 006.3
Empowering AI applications in smart life and environment
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Part-I Chapter 1-Smart Home Systems and Energy Efficiency in Daily Lives -- Chapter 2- Advanced Object Tracking for Empowering Smart Environments: A Comparative Review -- Chapter 3-Safeguarding Smart Infrastructure: A Review of Deep Learning Techniques for Automatic Pipeline Defect Detection -- Chapter 4-AI enabled Smart IoT data Platform -- Chapter 5-Automated Mango Quality Assessment in Smart Environments: A Custom YOLO Model for Surface Characteristic Analysis -- Chapter 6: Machine Learning and Deep Learning for Cybersecurity in Smart Environments -- Part-II Chapter 7-Deep Learning-Based Multiclass Skin Disease Diagnosis Toward Sustainable Healthcare -- Chapter 8-AI Integration Acceptance in Elderly Care Institutions: A Step Toward a Smarter Life -- Chapter 9 Using AI to Improve Post-Consumer Plastics Recycling for Sustainability in A Smart Environment.
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