Harnessing the potential of artificial intelligence to promote environmental sustainability
Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability provides a comprehensive examination of how AI is transforming environmental conservation and sustainability efforts. This scholarly work delves into cutting-edge AI technologies--such as automation, data ana...
Saved in:
| Other Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Bingley, U.K. :
Emerald Publishing Limited,
2026.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781836629986 |
| DOI | 10.1108/978-1-83662-996-2 |
| Physical Description | 1 online resource (288 pages) |
Cover
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | em-9781836629986 | ||
| 003 | UtOrBLW | ||
| 005 | 20251117140412.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 251117t20262026enk ob 001 0 eng d | ||
| 020 | |a 9781836629986 |q (e-book) | ||
| 040 | |a UtOrBLW |b eng |e rda |c UtOrBLW | ||
| 080 | |a 36 | ||
| 082 | 0 | 4 | |a 338.927 |2 23 |
| 245 | 0 | 0 | |a Harnessing the potential of artificial intelligence to promote environmental sustainability / |c edited by Parijata Majumdar, Aniruddha Nag, Diego Alberto Oliva Navarro. |
| 264 | 1 | |a Bingley, U.K. : |b Emerald Publishing Limited, |c 2026. | |
| 264 | 4 | |c ©2026 | |
| 300 | |a 1 online resource (288 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | |a Chapter 1. Designing an application for environmental sustainability: Leveraging iot and AI for data collection and analysis / Anton Yuryevich Demin, Aleksander Dmitriyevich Bragin, Darya Igorevna Dmitriychuk, and Vladislav Aleksandrovich Zarubin -- Chapter 2. Applications and challenges of real-time data analysis in the field of disaster prevention, reduction, and relief / Jeya Sutha M, Ramesh Dhanaseelan F, and Jabanesha S -- Chapter 3. Providing an intelligent sustainable solution for electricity management / Sudakshina Dasgupta, Tamal Mondal, Indrajit Bhattacharya, and Tanmoy Paul -- Chapter 4. Ethical perspectives of artificial intelligence - a bibliometric analysis / Soumik Gangopadhyay, Rabin Mazumder, Poulami Basu, Soumyadeep Dhol, Alolika Datta, Moupia Kundu, Suhrit Tewary, and Aparajita Bhattacharya -- Chapter 5. Harnessing AI for waste management and circular economy: Enhancing recycling and resource efficiency / Mainak Saha, Rabin Bhaumik, and Shriya Chakraborty -- Chapter 6. Optimized plant identification through leaf feature extraction using deep learning and advanced digital image processing techniques / Mainak Saha and Sushanta Das -- Chapter 7. Exploring the role of virtual reality in promoting sustainable tourism practices amidst COVID-19 pandemic / Doyel Mukherjee Prodhan, Archan Mitra, Amrita Mitra Mukherjee, and Soumik Gangopadhyay -- Chapter 8. Environmental informatics promotion using artificial intelligence & allied technologies: The applications, sustainability & educational perspectives / P. K. Paul -- Chapter 9. E-wastes management in AI context: The opportunities & challenges in educational & healthcare waste - a scientific study / Ritam Chatterjee and Abhijit Bandyopadhyay -- Chapter 10. Artificial intelligence & sustainability in the context of smart city and urban development: An overview / Nilanjan Das -- Chapter 11. Developing ai-friendly environmental policies addressing regulatory challenges and opportunities, AI and global environmental governance and funding, incentives for ai driven environmental initiatives / Tathagata Roy Chowdhury and Aniruddha Nag -- Chapter 12. A survey on sql injection attack detection using machine learning / Silambarasan Elkana, Harish Vishwa S M, Harsh Raj, Harsh Gupta, and Likhitha -- Chapter 13. Role of artificial intelligence in sustainable environment practices / Parijata Majumdar | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability provides a comprehensive examination of how AI is transforming environmental conservation and sustainability efforts. This scholarly work delves into cutting-edge AI technologies--such as automation, data analytics, and machine learning--and explores their potential to address pressing environmental challenges. Through in-depth analysis and practical case studies, the book demonstrates how AI can enhance resource management, support sustainable practices, and improve environmental monitoring. Beyond technical solutions, the authors engage with the ethical considerations and potential risks of deploying AI in environmental contexts. Issues such as fairness, transparency, and accountability in AI systems are explored, along with the need for regulatory frameworks to mitigate negative impacts. An essential resource for researchers, professionals, policymakers, and anyone interested in the intersection of technology and environmental stewardship, this contributed work offers a roadmap for leveraging AI to foster a sustainable future, emphasising the crucial role of advanced technologies in addressing global environmental challenges. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Artificial intelligence |x Environmental aspect. | |
| 650 | 0 | |a Sustainable development. | |
| 650 | 7 | |a Computers |x Artificial Intelligence |x General. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence. |2 thema | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Majumdar, Parijata, |e editor. | |
| 700 | 1 | |a Nag, Aniruddha, |e editor. | |
| 700 | 1 | |a Navarro, Diego Alberto Oliva, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9781836629979 |
| 776 | 0 | 8 | |i PDF version: |z 9781836629962 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/978-1-83662-996-2 |