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Artificial intelligence and data sci...

Anshari, Muhammad, (1977-)

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Artificial intelligence and data science for sustainability = applications and methods /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and data science for sustainability/ Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Anshari, editors.
其他題名:	applications and methods /
其他作者:	Anshari, Muhammad,
出版者:	Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
面頁冊數:	1 online resource (xvii, 480 p.) :ill.
內容註:	Preface -- Chapter 1. Green Technologies: How AI and Data Science Are Pioneering Sustainable Practices -- Chapter 2. Utilizing Artificial Intelligence and Data Science to Mitigate the Impacts of Climate Change -- Chapter 3. AI powered Conservation Transforming Habitat Management for a Sustainable Future -- Chapter 4. The Use of Artificial Intelligence to Curb Deforestation in the Brazilian Rainforest: Methods, Infrastructure, and Implications -- Chapter 5. AI and DataScience in Sustainable Agriculture and Food Production -- Chapter 6. Applications of Artificial Intelligence and Data Science in Sustainable Agriculture: A Review of Techniques and Case Studies -- Chapter 7. Leveraging Artificial Intelligence for Sustainable Development in Agriculture: An Exploratory Study -- Chapter 8. Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review -- Chapter 9. Revolutionizing Agriculture With Automated Plant Disease Detection: Techniques, Applications, Challenges, Future Directions, and Sustainability Impacts -- Chapter 10. An Enhanced Deep Convolutional Neural Network for Plant Disease Detection and Classification: Elevating Sustainable Agriculture-- Chapter 11. Harnessing Artificial Intelligence and Data Science for Sustainable Water Management and Irrigation -- Chapter 12. Climate Change Impact on Coastal Groundwater Salinity Along the African Coast: With Model Prediction of Economic Cost -- Chapter 13. Using Machine Learning to Categorize the State of Safety of Mines Based on Physical Geographical Features of the Mine Rock -- Compilation of References -- About the Contributors -- Index.
標題:	Sustainable engineering - Data processing. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6829-9
ISBN:	9798369368312

Artificial intelligence and data science for sustainability = applications and methods /
Artificial intelligence and data science for sustainabilityapplications and methods /[electronic resource] :Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Anshari, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xvii, 480 p.) :ill.

Includes bibliographic references and index.

Preface -- Chapter 1. Green Technologies: How AI and Data Science Are Pioneering Sustainable Practices -- Chapter 2. Utilizing Artificial Intelligence and Data Science to Mitigate the Impacts of Climate Change -- Chapter 3. AI powered Conservation Transforming Habitat Management for a Sustainable Future -- Chapter 4. The Use of Artificial Intelligence to Curb Deforestation in the Brazilian Rainforest: Methods, Infrastructure, and Implications -- Chapter 5. AI and DataScience in Sustainable Agriculture and Food Production -- Chapter 6. Applications of Artificial Intelligence and Data Science in Sustainable Agriculture: A Review of Techniques and Case Studies -- Chapter 7. Leveraging Artificial Intelligence for Sustainable Development in Agriculture: An Exploratory Study -- Chapter 8. Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review -- Chapter 9. Revolutionizing Agriculture With Automated Plant Disease Detection: Techniques, Applications, Challenges, Future Directions, and Sustainability Impacts -- Chapter 10. An Enhanced Deep Convolutional Neural Network for Plant Disease Detection and Classification: Elevating Sustainable Agriculture-- Chapter 11. Harnessing Artificial Intelligence and Data Science for Sustainable Water Management and Irrigation -- Chapter 12. Climate Change Impact on Coastal Groundwater Salinity Along the African Coast: With Model Prediction of Economic Cost -- Chapter 13. Using Machine Learning to Categorize the State of Safety of Mines Based on Physical Geographical Features of the Mine Rock -- Compilation of References -- About the Contributors -- Index.

"The book will bring together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains, such as energy, transportation, agriculture, waste management, urban planning, and environmental protection"--

Mode of access: World Wide Web.

ISBN: 9798369368312Subjects--Topical Terms:

3521696
Sustainable engineering
--Data processing.Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TA163 / .A779 2025eb

Dewey Class. No.: 628.0285/63

Artificial intelligence and data science for sustainability = applications and methods /
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653 $a Battery Energy Storage System.
653 $a Circular Supply Chains.
653 $a Cloud Computing.
653 $a Convolutional Neural Network (CNN) Models.
653 $a Cybersecurity.
653 $a Data Science Solutions.
653 $a Deep Learning Classifiers.
653 $a Detecting Depression.
653 $a Development Financing.
653 $a Disaster Prediction and Management.
653 $a Drone Imagery.
653 $a Environmental Monitoring and Protection.
653 $a Federated Learning Approach.
653 $a Machine Learning (ML)
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