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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Vedrtnam, Ajitanshu (Egilea), Wyche, Kevin P. (Egilea), Chauhan, Balendra V. S. (Egilea), Verma, Sneha (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edizioa:1st ed. 2025.
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-981-96-6863-2
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • 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.