國立高雄大學圖資館 |

Language: English

Back

Prospects of artificial intelligence in the environment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Prospects of artificial intelligence in the environmentby Ajitanshu Vedrtnam ... [et al.].
other author:	Vedrtnam, Ajitanshu.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	x, 226 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Environmental sciencesTechnological innovations.
Online resource:	https://doi.org/10.1007/978-981-96-6863-2
ISBN:	9789819668632$q(electronic bk.)

Prospects of artificial intelligence in the environment
Prospects of artificial intelligence in the environment[electronic resource] /by Ajitanshu Vedrtnam ... [et al.]. - Singapore :Springer Nature Singapore :2025. - x, 226 p. :ill. (chiefly color), digital ;24 cm.

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.

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.

ISBN: 9789819668632$q(electronic bk.)

Standard No.: 10.1007/978-981-96-6863-2doiSubjects--Topical Terms:

928444
Environmental sciences
--Technological innovations.

LC Class. No.: GE105

Dewey Class. No.: 363.7

Prospects of artificial intelligence in the environment
LDR:03786nmm a2200337 a 4500 001 683132
003 DE-He213
005 20250618124759.0
006 m d
007 cr nn 008maaau
008 251212s2025 si s 0 eng d
020 $a 9789819668632$q(electronic bk.)
020 $a 9789819668625$q(paper)
024 7 $a 10.1007/978-981-96-6863-2 $2 doi
035 $a 978-981-96-6863-2
040 $a GP $c GP
041 0 $a eng
050 4 $a GE105
072 7 $a TQ $2 bicssc
072 7 $a TEC010000 $2 bisacsh
072 7 $a TQ $2 thema
082 0 4 $a 363.7 $2 23
090 $a GE105 $b .P966 2025
245 0 0 $a Prospects of artificial intelligence in the environment $h [electronic resource] / $c by Ajitanshu Vedrtnam ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a x, 226 p. : $b ill. (chiefly color), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
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.
650 0 $a Environmental sciences $x Technological innovations. $3 928444
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Environmental Engineering/Biotechnology. $3 275340
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Pollution. $3 193187
650 2 4 $a Waste Management/Waste Technology. $3 273736
700 1 $a Vedrtnam, Ajitanshu. $3 996870
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-6863-2
950 $a Earth and Environmental Science (SpringerNature-11646)