Prospects of Artificial Intelligence in the Environment
This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environme...
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| Format: | Elektronski eKnjiga |
| Jezik: | angleščina |
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Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Izdaja: | 1st ed. 2025. |
| Teme: | |
| Online dostop: | https://doi.org/10.1007/978-981-96-6863-2 |
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| 100 | 1 | |a Vedrtnam, Ajitanshu. |e author. |0 (orcid)0000-0002-6286-9663 |1 https://orcid.org/0000-0002-6286-9663 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Prospects of Artificial Intelligence in the Environment |h [electronic resource] / |c by Ajitanshu Vedrtnam, Kevin P. Wyche, Balendra V. S. Chauhan, Sneha Verma. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2025. | |
| 300 | |a X, 226 p. 34 illus., 31 illus. in color. |b online resource. | ||
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| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
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| 505 | 0 | |a Chapter 1. AI for Forecasting, Assessing Air Quality Trends, and Air Pollution Monitoring -- Chapter 2. Artificial Intelligence for Impeding the Impending Climate Change -- Chapter 3. Artificial Intelligence Curtailments of Environmental impacts of Renewable Energy Systems: Solar, Wind, Hydro, Biomass, and Geothermal -- Chapter 4. Artificial Intelligence for Apter Waste Management Encapsulating Environmental impacts and health hazards associated with open dumping of organic waste -- Chapter 5. Applications of AI in Assessing Threats of Catastrophic Natural Hazards -- Chapter 6. Review of Experimental investigations on exposure of lung tissue with fine and ultrafine particles and possible implications of AI. Chapter 7. Review on Recycling of Platinum Group Metals, their demand and supply prediction using AI, And Alternative Catalysts For Catalytic Converters -- Chapter 8. Machine Learning in Renewable Energy Systems -- Chapter 9. Artificial Intelligence and its Potential Applications in Identifying Textile Dyeing Pollution in Bangladesh -- Chapter 10. Problems, Opportunities, and Directives for the Application of AI systems in Engine Exhaust Prediction. | |
| 520 | |a This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Environmental engineering. | |
| 650 | 0 | |a Biotechnology. | |
| 650 | 0 | |a Bioremediation. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Pollution. | |
| 650 | 0 | |a Refuse and refuse disposal. | |
| 650 | 1 | 4 | |a Environmental Engineering/Biotechnology. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Pollution. |
| 650 | 2 | 4 | |a Waste Management/Waste Technology. |
| 700 | 1 | |a Wyche, Kevin P. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Chauhan, Balendra V. S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Verma, Sneha. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789819668625 |
| 776 | 0 | 8 | |i Printed edition: |z 9789819668649 |
| 776 | 0 | 8 | |i Printed edition: |z 9789819668656 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-96-6863-2 |
| 912 | |a ZDB-2-EES | ||
| 912 | |a ZDB-2-SXEE | ||
| 912 | |a ZDB-2-230 | ||
| 950 | |a Earth and Environmental Science (SpringerNature-11646) | ||
| 950 | |a Earth and Environmental Science (R0) (SpringerNature-43711) | ||
| 950 | |a Focus Bundle Environmental Sciences (SpringerNature-85400) | ||