東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Novel AI applications for advancing earth sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Novel AI applications for advancing earth sciences/ Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque, editors.
remainder title:	Novel artificial intelligence applications for advancing earth sciences
other author:	Albuquerque, Victor Hugo C. de.
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (405 p.)
[NT 15003449]:	Chapter 1. Artificial intelligence: applications, benefits, and future challenges in the monitoring and prediction of earth observations -- Chapter 2. Technical challenges faced in designing frameworks for AI-based earth monitoring systems -- Chapter 3. Knowledge-based earth monitoring and prediction systems -- Chapter 4. Reinforcement learning-based earth observation system -- Chapter 5. Nearest neighbor-based earth observation and monitoring -- Chapter 6. Development of a neuro-inspired algorithms for monitoring and prediction of earthquakes -- Chapter 7. AI implementation techniques for finding earth's frozen zones -- Chapter 8. Earthquake multi-class detection using artificial intelligence -- Chapter 9. Earth sciences unleashed: a comprehensive exploration of AI applications -- Chapter 10. Fuzzy logic-based monitoring of earth observations -- Chapter 11. An early warning system for predicting earthquakes -- Chapter 12. Deep learning approaches for earth science -- Chapter 13. Sensory intelligence-integrating MBA touch into earth observation systems for enhanced machine learning -- Chapter 14. Human-touch integration in AI frameworks for earth monitoring -- Chapter 15. Knowledge-driven decision making in earth monitoring systems -- Chapter 16. Enhancing earthquake prediction with reinforcement learning -- Chapter 17. Nearest-neighbor approaches in earth observation: a comparative analysis -- Chapter 18. Neuro-inspired algorithms for earthquake monitoring and prediction -- Chapter 19. Exploring frigid frontiers: strategies for uncovering earth's frozen regions with AI.
Subject:	Earth sciences - Computer simulation. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1850-8
ISBN:	9798369318515

Novel AI applications for advancing earth sciences
Novel AI applications for advancing earth sciences[electronic resource] /Novel artificial intelligence applications for advancing earth sciencesSudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (405 p.)

Includes bibliographical references and index.

Chapter 1. Artificial intelligence: applications, benefits, and future challenges in the monitoring and prediction of earth observations -- Chapter 2. Technical challenges faced in designing frameworks for AI-based earth monitoring systems -- Chapter 3. Knowledge-based earth monitoring and prediction systems -- Chapter 4. Reinforcement learning-based earth observation system -- Chapter 5. Nearest neighbor-based earth observation and monitoring -- Chapter 6. Development of a neuro-inspired algorithms for monitoring and prediction of earthquakes -- Chapter 7. AI implementation techniques for finding earth's frozen zones -- Chapter 8. Earthquake multi-class detection using artificial intelligence -- Chapter 9. Earth sciences unleashed: a comprehensive exploration of AI applications -- Chapter 10. Fuzzy logic-based monitoring of earth observations -- Chapter 11. An early warning system for predicting earthquakes -- Chapter 12. Deep learning approaches for earth science -- Chapter 13. Sensory intelligence-integrating MBA touch into earth observation systems for enhanced machine learning -- Chapter 14. Human-touch integration in AI frameworks for earth monitoring -- Chapter 15. Knowledge-driven decision making in earth monitoring systems -- Chapter 16. Enhancing earthquake prediction with reinforcement learning -- Chapter 17. Nearest-neighbor approaches in earth observation: a comparative analysis -- Chapter 18. Neuro-inspired algorithms for earthquake monitoring and prediction -- Chapter 19. Exploring frigid frontiers: strategies for uncovering earth's frozen regions with AI.

"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."--

ISBN: 9798369318515Subjects--Topical Terms:

1565920
Earth sciences
--Computer simulation.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QE48.8 / .N68 2024e

Dewey Class. No.: 550.285/63

Novel AI applications for advancing earth sciences
LDR:04031nmm a2200253 a 4500 001 2378579
006 m d
007 cr nn muauu
008 250310s2024 pau fob 001 0 eng d
020 $a 9798369318515 $q (ebook)
020 $a 9798369318508 $q (print)
035 $a (OCoLC)1415852378
035 $a 00330532
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a QE48.8 $b .N68 2024e
082 0 4 $a 550.285/63 $2 23
245 0 0 $a Novel AI applications for advancing earth sciences $h [electronic resource] / $c Sudesh Yadav, Satya Prakash Yadav, Pethuru Raj, Prabhakar Tiwari, Victor Hugo C. de Albuquerque, editors.
246 3 $a Novel artificial intelligence applications for advancing earth sciences
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (405 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Artificial intelligence: applications, benefits, and future challenges in the monitoring and prediction of earth observations -- Chapter 2. Technical challenges faced in designing frameworks for AI-based earth monitoring systems -- Chapter 3. Knowledge-based earth monitoring and prediction systems -- Chapter 4. Reinforcement learning-based earth observation system -- Chapter 5. Nearest neighbor-based earth observation and monitoring -- Chapter 6. Development of a neuro-inspired algorithms for monitoring and prediction of earthquakes -- Chapter 7. AI implementation techniques for finding earth's frozen zones -- Chapter 8. Earthquake multi-class detection using artificial intelligence -- Chapter 9. Earth sciences unleashed: a comprehensive exploration of AI applications -- Chapter 10. Fuzzy logic-based monitoring of earth observations -- Chapter 11. An early warning system for predicting earthquakes -- Chapter 12. Deep learning approaches for earth science -- Chapter 13. Sensory intelligence-integrating MBA touch into earth observation systems for enhanced machine learning -- Chapter 14. Human-touch integration in AI frameworks for earth monitoring -- Chapter 15. Knowledge-driven decision making in earth monitoring systems -- Chapter 16. Enhancing earthquake prediction with reinforcement learning -- Chapter 17. Nearest-neighbor approaches in earth observation: a comparative analysis -- Chapter 18. Neuro-inspired algorithms for earthquake monitoring and prediction -- Chapter 19. Exploring frigid frontiers: strategies for uncovering earth's frozen regions with AI.
520 3 $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."-- $c Provided by publisher.
650 0 $a Earth sciences $x Computer simulation. $3 1565920
650 0 $a Earth sciences $x Data processing. $3 544097
650 0 $a Artificial intelligence $x Data processing. $3 655284
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Albuquerque, Victor Hugo C. de. $3 3730195
700 1 $a Tiwari, Prabhakar, $d 1975- $3 3730196
700 1 $a Raj, Pethuru. $3 2162375
700 1 $a Yadav, Satya Prakash. $3 3593152
700 1 $a Yadav, Sudesh, $d 1989- $3 3730197
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1850-8