Spatial Intelligence for a Greener Planet: AI Applications in Environmental Pollution Mapping, Analysis and Mitigation - Couverture rigide

 
9781032699981: Spatial Intelligence for a Greener Planet: AI Applications in Environmental Pollution Mapping, Analysis and Mitigation
Couverture rigide
ISBN 10 : 1032699981 ISBN 13 : 9781032699981
Editeur : CRC Press, 2024

Synopsis

With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Dr. Kuldeep Chaurasia is an Associate Professor at School of Computer Science Engineering and Technology at Bennett University, Greater Noida, India. He earned his Ph.D. in Geomatics from Indian Institute of Technology Roorkee, and made significant contributions as a Research Scientist at the National Remote Sensing Centre, ISRO, Govt. of India, while working on various national projects. His expertise spans machine learning, deep learning in the geospatial domain, flood mapping, spatial data management, computer networks, and geo-blockchain. Dr. Chaurasia has published over 40 research papers in prestigious international journals and conferences, achieving significant breakthroughs and earning widespread respect in the academic community.

Prof. Pradeep K. Garg serves as a Professor in the Geomatics Engineering Group, Civil Engineering Department, IIT Roorkee. He earned his B.Tech and M.Tech from the University of Roorkee, and Ph.D. from the University of Bristol, UK. He has held key positions, including Head of Civil Engineering at IIT Roorkee and Vice Chancellor of Uttarakhand Technical University. Prof. Garg has published over 300 technical papers, authored several textbooks, and supervised numerous theses, significantly contributing to geospatial research and education.

Dr. Arun P. V. is an Assistant Professor in CSE and Institute Research Coordinator at the Indian Institute of Information Technology, Sri City, Chittoor. His research interests include deep learning, computer vision, explainable image and signal processing, remote sensing, and precision agriculture. He completed his Ph.D. at IIT Bombay, and postdoc at Ben-Gurion University, Israel. He served as a Research Scientist/Assoc Vice-president at Huawei R&D. He has published around 20 high-impact SCI-indexed journals, with about 300 citations. He leads projects funded by DST, ISRO, and other organizations, and consults for industries. He has reviewed top journals, and collaborated with various national and international agencies.

Dr. Yingwei Yan is a GIScientist working on volunteered geographic information, social sensing, and GIS educational research. He is the Director of Taught Graduate/Continuing Education and Training programmes in Applied GIS, and a member of the GIS Unit of the Department of Geography, National University of Singapore (NUS). He obtained his Ph.D. from the Department of Geography, NUS. He is also the Co-chair of the ISPRS Technical Commission Working Group on Human Behaviour and Spatial Interactions.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CRC Press
Date d'édition
2024
Langue
anglais
ISBN 10 
1032699981
ISBN 13 
9781032699981
Reliure
Relié
Nombre de pages
174
Éditeur
Chaurasia Kuldeep, Garg Pradeep Kumar, P V Arun, Yan Yingewi
Coordonnées du fabricant
CRC Press
https://www.routledge-ny.com

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