Novel AI applications for advancing earth sciences:
The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced to...
Gespeichert in:
| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in environmental engineering and green technologies (AEEGT) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-898 DE-91 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences.This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency. |
| Beschreibung: | 1 Online-Ressource (xxiii, 405 Seiten) Illustrationen, Diagramme, Karten |
| ISBN: | 9798369318515 |
| DOI: | 10.4018/979-8-3693-1850-8 |
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| 245 | 1 | 0 | |a Novel AI applications for advancing earth sciences |c Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque |
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| 520 | |a The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences.This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency. | ||
| 650 | 4 | |a Artificial intelligence |x Data processing | |
| 650 | 4 | |a Earth sciences |x Computer simulation | |
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| author2 | Yadav, Sudesh 1989- Yadav, Satya Prakash Raj, Pethuru Tiwari, Prabhakar 1975- Santos, Davi Albuquerque Vieira dos |
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| dewey-full | 550.285/63 |
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| discipline | Geologie / Paläontologie |
| discipline_str_mv | Geologie / Paläontologie |
| doi_str_mv | 10.4018/979-8-3693-1850-8 |
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| id | DE-604.BV049521784 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:25:10Z |
| indexdate | 2024-12-17T19:01:35Z |
| institution | BVB |
| isbn | 9798369318515 |
| language | English |
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| physical | 1 Online-Ressource (xxiii, 405 Seiten) Illustrationen, Diagramme, Karten |
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| spelling | Novel AI applications for advancing earth sciences Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque Novel artificial intelligence applications for advancing earth sciences Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxiii, 405 Seiten) Illustrationen, Diagramme, Karten txt rdacontent c rdamedia cr rdacarrier Advances in environmental engineering and green technologies (AEEGT) book series The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences.This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency. Artificial intelligence Data processing Earth sciences Computer simulation Earth sciences Data processing Yadav, Sudesh 1989- edt Yadav, Satya Prakash edt Raj, Pethuru edt Tiwari, Prabhakar 1975- edt Santos, Davi Albuquerque Vieira dos (DE-588)1219760587 edt Erscheint auch als Druck-Ausgabe 979-8-3693-1850-8 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-4728-7 https://doi.org/10.4018/979-8-3693-1850-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Novel AI applications for advancing earth sciences Artificial intelligence Data processing Earth sciences Computer simulation Earth sciences Data processing |
| title | Novel AI applications for advancing earth sciences |
| title_alt | Novel artificial intelligence applications for advancing earth sciences |
| title_auth | Novel AI applications for advancing earth sciences |
| title_exact_search | Novel AI applications for advancing earth sciences |
| title_exact_search_txtP | Novel AI applications for advancing earth sciences |
| title_full | Novel AI applications for advancing earth sciences Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque |
| title_fullStr | Novel AI applications for advancing earth sciences Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque |
| title_full_unstemmed | Novel AI applications for advancing earth sciences Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque |
| title_short | Novel AI applications for advancing earth sciences |
| title_sort | novel ai applications for advancing earth sciences |
| topic | Artificial intelligence Data processing Earth sciences Computer simulation Earth sciences Data processing |
| topic_facet | Artificial intelligence Data processing Earth sciences Computer simulation Earth sciences Data processing |
| url | https://doi.org/10.4018/979-8-3693-1850-8 |
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