Application of Machine Learning in Earth Sciences: A Practical Approach

Author:   Swapnil Vyas ,  Shridhar D. Jawak ,  Pramit Kumar Deb Burman ,  Hemlata Patel
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032114259


Pages:   665
Publication Date:   13 January 2026
Format:   Hardback
Availability:   In Print   Availability explained
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Application of Machine Learning in Earth Sciences: A Practical Approach


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Author:   Swapnil Vyas ,  Shridhar D. Jawak ,  Pramit Kumar Deb Burman ,  Hemlata Patel
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032114259


ISBN 10:   303211425
Pages:   665
Publication Date:   13 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

A ConvGRU Deep Learning Algorithm to Forecast global Ionospheric TEC Maps.- Estimation of Daily Air Relative Humidity Using a Novel Outlier-Robust Extreme Learning Machine Model: A Case Study of Two Algerian Locations.- Significance of Machine Learning in Understanding Earth’s Magnetosphere and Solar Activity.- Harnessing artificial intelligence for the detection and analysis of microplastics and associated chemicals in the atmosphere.- Application of Machine Learning in Bioremediation and Detection of Pollutants.- Machine Learning for Analysis of Water flow in the Reservoirs and Monitoring of Air quality.- Leveraging AI/ML for the Identification of Ma-rine Organisms.- Application of Machine Learning in River Water Quality Monitoring.- Application of AI/ML in river water quality monitoring.- Deep Neural Network for Water Mapping during Flood from SAR images using Matlab.

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