Harnessing high-performance computing and AI for environmental sustainability:
"The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
c2024
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures.Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development."-- |
| Beschreibung: | 23 PDFs (401 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369317952 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Harnessing high-performance computing and AI for environmental sustainability |c Arshi Naim, editor. |
| 246 | 3 | |a Harnessing high-performance computing and artificial intelligence for environmental sustainability | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c c2024 | |
| 300 | |a 23 PDFs (401 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. A study on AI-ML-driven optimizing energy distribution and sustainable agriculture for environmental conservation -- Chapter 2. AI-integrated biosensors and bioelectronics for agriculture -- Chapter 3. Machine learning and deep learning solutions for green computing -- Chapter 4. Machine learning-integrated sustainable engineering and energy systems: innovations at the nexus -- Chapter 5. The impact of AI on sustainability -- Chapter 6. Applications of blockchain in building marketing framework: approach to environmental sustainability -- Chapter 7. Internet of things framework for sustainable agriculture in smart farming -- Chapter 8. Circular economy digital practices for ethical dimensions and policies for digital waste management -- Chapter 9. Applications of machine learning techniques for achieving financial sustainability -- Chapter 10. Sustainable practices for green computing and digital e-waste management -- Chapter 11. Next generation materials for sustainable development -- Chapter 12. Leveraging high-performance computing and artificial intelligence in climate modeling and prediction -- Chapter 13. Energy optimization and smart grids: IoT-based smart grid solution and smart grids applications -- Chapter 14. Cloud computing adoption for small and medium enterprises in engineering and environmental aspects -- Chapter 15. Assessment of water quality using multi-layered mamdani fuzzy inference expert system. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures.Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Environmental aspects. | |
| 650 | 0 | |a Sustainability |x Technological innovations. | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Blockchain in Energy Management. | ||
| 653 | |a Climate Modeling. | ||
| 653 | |a Climate Neutrality. | ||
| 653 | |a Digital Waste Management. | ||
| 653 | |a Energy Optimization. | ||
| 653 | |a Environmental Sustainability. | ||
| 653 | |a Ethical Considerations of Artificial Intelligence. | ||
| 653 | |a Green Computing. | ||
| 653 | |a High-Performance Computing. | ||
| 653 | |a Intelligence Resource Management. | ||
| 653 | |a Internet of Things Environment. | ||
| 653 | |a Smart Grids. | ||
| 653 | |a Sustainable Agriculture. | ||
| 653 | |a Sustainable Computing Solutions. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Naim, Arshi |d 1976- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369317945 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1794-5 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00330142 |
|---|---|
| _version_ | 1816797087879135232 |
| adam_text | |
| any_adam_object | |
| author2 | Naim, Arshi 1976- |
| author2_role | edt |
| author2_variant | a n an |
| author_facet | Naim, Arshi 1976- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HC79 |
| callnumber-raw | HC79.E5 H37 2024e |
| callnumber-search | HC79.E5 H37 2024e |
| callnumber-sort | HC 279 E5 H37 42024E |
| callnumber-subject | HC - Economic History and Conditions |
| collection | ZDB-98-IGB |
| contents | Chapter 1. A study on AI-ML-driven optimizing energy distribution and sustainable agriculture for environmental conservation -- Chapter 2. AI-integrated biosensors and bioelectronics for agriculture -- Chapter 3. Machine learning and deep learning solutions for green computing -- Chapter 4. Machine learning-integrated sustainable engineering and energy systems: innovations at the nexus -- Chapter 5. The impact of AI on sustainability -- Chapter 6. Applications of blockchain in building marketing framework: approach to environmental sustainability -- Chapter 7. Internet of things framework for sustainable agriculture in smart farming -- Chapter 8. Circular economy digital practices for ethical dimensions and policies for digital waste management -- Chapter 9. Applications of machine learning techniques for achieving financial sustainability -- Chapter 10. Sustainable practices for green computing and digital e-waste management -- Chapter 11. Next generation materials for sustainable development -- Chapter 12. Leveraging high-performance computing and artificial intelligence in climate modeling and prediction -- Chapter 13. Energy optimization and smart grids: IoT-based smart grid solution and smart grids applications -- Chapter 14. Cloud computing adoption for small and medium enterprises in engineering and environmental aspects -- Chapter 15. Assessment of water quality using multi-layered mamdani fuzzy inference expert system. |
| ctrlnum | (CaBNVSL)slc00005918 (OCoLC)1434591165 |
| dewey-full | 304.2028563 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 304 - Factors affecting social behavior |
| dewey-raw | 304.2028563 |
| dewey-search | 304.2028563 |
| dewey-sort | 3304.2028563 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00330142 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369317952 |
| language | English |
| oclc_num | 1434591165 |
| open_access_boolean | |
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| owner_facet | DE-863 DE-BY-FWS |
| physical | 23 PDFs (401 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
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| spelling | Harnessing high-performance computing and AI for environmental sustainability Arshi Naim, editor. Harnessing high-performance computing and artificial intelligence for environmental sustainability Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, c2024 23 PDFs (401 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. A study on AI-ML-driven optimizing energy distribution and sustainable agriculture for environmental conservation -- Chapter 2. AI-integrated biosensors and bioelectronics for agriculture -- Chapter 3. Machine learning and deep learning solutions for green computing -- Chapter 4. Machine learning-integrated sustainable engineering and energy systems: innovations at the nexus -- Chapter 5. The impact of AI on sustainability -- Chapter 6. Applications of blockchain in building marketing framework: approach to environmental sustainability -- Chapter 7. Internet of things framework for sustainable agriculture in smart farming -- Chapter 8. Circular economy digital practices for ethical dimensions and policies for digital waste management -- Chapter 9. Applications of machine learning techniques for achieving financial sustainability -- Chapter 10. Sustainable practices for green computing and digital e-waste management -- Chapter 11. Next generation materials for sustainable development -- Chapter 12. Leveraging high-performance computing and artificial intelligence in climate modeling and prediction -- Chapter 13. Energy optimization and smart grids: IoT-based smart grid solution and smart grids applications -- Chapter 14. Cloud computing adoption for small and medium enterprises in engineering and environmental aspects -- Chapter 15. Assessment of water quality using multi-layered mamdani fuzzy inference expert system. Restricted to subscribers or individual electronic text purchasers. "The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures.Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Artificial intelligence Environmental aspects. Sustainability Technological innovations. Artificial Intelligence. Blockchain in Energy Management. Climate Modeling. Climate Neutrality. Digital Waste Management. Energy Optimization. Environmental Sustainability. Ethical Considerations of Artificial Intelligence. Green Computing. High-Performance Computing. Intelligence Resource Management. Internet of Things Environment. Smart Grids. Sustainable Agriculture. Sustainable Computing Solutions. Electronic books. Naim, Arshi 1976- editor. IGI Global, publisher. Print version: 9798369317945 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1794-5 Volltext |
| spellingShingle | Harnessing high-performance computing and AI for environmental sustainability Chapter 1. A study on AI-ML-driven optimizing energy distribution and sustainable agriculture for environmental conservation -- Chapter 2. AI-integrated biosensors and bioelectronics for agriculture -- Chapter 3. Machine learning and deep learning solutions for green computing -- Chapter 4. Machine learning-integrated sustainable engineering and energy systems: innovations at the nexus -- Chapter 5. The impact of AI on sustainability -- Chapter 6. Applications of blockchain in building marketing framework: approach to environmental sustainability -- Chapter 7. Internet of things framework for sustainable agriculture in smart farming -- Chapter 8. Circular economy digital practices for ethical dimensions and policies for digital waste management -- Chapter 9. Applications of machine learning techniques for achieving financial sustainability -- Chapter 10. Sustainable practices for green computing and digital e-waste management -- Chapter 11. Next generation materials for sustainable development -- Chapter 12. Leveraging high-performance computing and artificial intelligence in climate modeling and prediction -- Chapter 13. Energy optimization and smart grids: IoT-based smart grid solution and smart grids applications -- Chapter 14. Cloud computing adoption for small and medium enterprises in engineering and environmental aspects -- Chapter 15. Assessment of water quality using multi-layered mamdani fuzzy inference expert system. Artificial intelligence Environmental aspects. Sustainability Technological innovations. |
| title | Harnessing high-performance computing and AI for environmental sustainability |
| title_alt | Harnessing high-performance computing and artificial intelligence for environmental sustainability |
| title_auth | Harnessing high-performance computing and AI for environmental sustainability |
| title_exact_search | Harnessing high-performance computing and AI for environmental sustainability |
| title_full | Harnessing high-performance computing and AI for environmental sustainability Arshi Naim, editor. |
| title_fullStr | Harnessing high-performance computing and AI for environmental sustainability Arshi Naim, editor. |
| title_full_unstemmed | Harnessing high-performance computing and AI for environmental sustainability Arshi Naim, editor. |
| title_short | Harnessing high-performance computing and AI for environmental sustainability |
| title_sort | harnessing high performance computing and ai for environmental sustainability |
| topic | Artificial intelligence Environmental aspects. Sustainability Technological innovations. |
| topic_facet | Artificial intelligence Environmental aspects. Sustainability Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1794-5 |
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