
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Elsevier (Publisher)
Published on 16. November 2022
Book
Paperback/Softback
498 pages
978-0-323-99714-0 (ISBN)
Description
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.
This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.
This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 231 mm
Width: 190 mm
Thickness: 27 mm
Weight
1078 gr
ISBN-13
978-0-323-99714-0 (9780323997140)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Ashutosh Kumar Dubey | Abhishek Kumar | Sushil Kumar Narang
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
E-Book
11/2022
Elsevier
€144.00
Available for download
Persons
Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Himachal Pradesh, India. He is also a Postdoctoral Fellow of the Ingenium Research Group Lab, Universidad
de Castilla-La Mancha, Ciudad Real, Spain. Dr Abhishek Kumar is currently working as an Assistant Professor in Computer science & Engineering Department in Chandigarh University, Punjab, India. He is Doctorate in computer science from University of Madras and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He is having more than 160 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar, Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 45 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He has been member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE , IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors).He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group.
Sushil Kumar Narang is Dean and an Associate Professor in the Department of Computer Science & Engineering at Chitkara University, Rajpura, Punjab (India) since 2019. From 2006-2019, He was head of IT department at SAS Institute of IT & Research, Mohali, Punjab (India). From 1996-2006, He was Assistant Professor at Department of Computer Science & Applications, MLN College, Yamuna agar, Haryana (India).He has completed his Ph.D. at Panjab University, Chandigarh (India). His Research on "Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good quality hand written GurmukhiandDevnagariCharacters? focused on various image processing, machine as well as deep learning algorithms. His research interests lie in the area of programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics and Machine Learning. He has collaborated actively with researchers in several other disciplines of computer science; particularly Machine Learning on real world use cases.He is a certified Deep Learning Engineer from Edureka. ?He possesses expertise in Object-Oriented Analysis & Design and Development using Java and Python programming using OpenCV in Image Processing and Neural Network construction. ?He has strong knowledge of C++ and Java with experience in component architecture of product interface. With Solid training and management skills, He has demonstrated proficiency in leading and mentoring individuals to maximize levels of productivity, while forming cohesive team environments. Moonis Ali Khan received his doctoral degree (Ph.D.) in Applied Chemistry from Aligarh Muslim University, Aligarh, India, in 2009. From 2009 to 2011, he worked as a Post-Doctoral Researcher at Yonsei University, South Korea and Universiti Putra Malaysia, Malaysia. In 2011, he joined the Chemistry Department at the King Saud University (KSU), Saudi Arabia as an Assistant Professor. Currently, he is working as an Associate Professor at KSU. He is an interfacial chemist and his research is focused on the synthesis and development of novel materials for environmental remediation applications. To date, he has guided two doctoral students for their respective degrees. He has published more than hundred (research and review) articles and has two U.S. patents to his credit. Dr. Arun Lal Srivastav is an Associate Professor in the Department of Applied Sciences at Chitkara University, Himachal Pradesh, India.
de Castilla-La Mancha, Ciudad Real, Spain. Dr Abhishek Kumar is currently working as an Assistant Professor in Computer science & Engineering Department in Chandigarh University, Punjab, India. He is Doctorate in computer science from University of Madras and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He is having more than 160 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar, Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 45 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He has been member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE , IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors).He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group.
Sushil Kumar Narang is Dean and an Associate Professor in the Department of Computer Science & Engineering at Chitkara University, Rajpura, Punjab (India) since 2019. From 2006-2019, He was head of IT department at SAS Institute of IT & Research, Mohali, Punjab (India). From 1996-2006, He was Assistant Professor at Department of Computer Science & Applications, MLN College, Yamuna agar, Haryana (India).He has completed his Ph.D. at Panjab University, Chandigarh (India). His Research on "Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good quality hand written GurmukhiandDevnagariCharacters? focused on various image processing, machine as well as deep learning algorithms. His research interests lie in the area of programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics and Machine Learning. He has collaborated actively with researchers in several other disciplines of computer science; particularly Machine Learning on real world use cases.He is a certified Deep Learning Engineer from Edureka. ?He possesses expertise in Object-Oriented Analysis & Design and Development using Java and Python programming using OpenCV in Image Processing and Neural Network construction. ?He has strong knowledge of C++ and Java with experience in component architecture of product interface. With Solid training and management skills, He has demonstrated proficiency in leading and mentoring individuals to maximize levels of productivity, while forming cohesive team environments. Moonis Ali Khan received his doctoral degree (Ph.D.) in Applied Chemistry from Aligarh Muslim University, Aligarh, India, in 2009. From 2009 to 2011, he worked as a Post-Doctoral Researcher at Yonsei University, South Korea and Universiti Putra Malaysia, Malaysia. In 2011, he joined the Chemistry Department at the King Saud University (KSU), Saudi Arabia as an Assistant Professor. Currently, he is working as an Associate Professor at KSU. He is an interfacial chemist and his research is focused on the synthesis and development of novel materials for environmental remediation applications. To date, he has guided two doctoral students for their respective degrees. He has published more than hundred (research and review) articles and has two U.S. patents to his credit. Dr. Arun Lal Srivastav is an Associate Professor in the Department of Applied Sciences at Chitkara University, Himachal Pradesh, India.
Editor
Department of Computer Science and Engineering, Institute of Engineering and Technology, Chitkara University, India
Assistant Professor
Department of Computer Science, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
Associate Professor, College of Science, King Saud University, Riyadh, Saudi Arabia
Chitkara University, Himachal Pradesh, Solan, India
Content
1. Climate uncertainties and biodiversity: An overview
Rohit Kamboj
2. Historical perspectives on climate change and its negative impacts on the nature
Shama E. Haque
3. Impact of climate change on water quality and its assessment
Sunita Verma
4. Climate change impacts on water resources and adaptation strategies
Sukanya raghavan
5. Impact of Plastics in the Socio-economic disaster of Climate Change: The Roadblocks of Sustainability
Arnab Banerjee
6. Impression of Climatic Variation on Flora, Fauna and Human Being: A present State of Art
Dipankar Ghosh
7. Impact of air quality as a component of climate change on biodiversity-based ecosystem services
Sylvester Chibueze Izah
8. Role of Climate Change in disasters occurrences: Forecasting and Management options
Alok Pratap Singh
9. Forecasting and management of disasters triggered by climate change
Fatemeh Rajabi
10. El-Nino Southern Oscillation and its Effects
Sayantika Mukherjee
11. Impact of socio-economic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan Region
Pardeep Singh
12. Modelling and forecasting of climate change effects using artificial intelligence techniques
Rajib Maity
13. The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production
Richa Saxena
14. Application of Artificial Intelligence in Environmental Sustainability and Climate Change
Neeta Kumari
15. Machine learning approaches for climate change impact assessment in agriculture production
Swati Singh
16. Benchmarking of traditional and advanced machine Learning modelling techniques for prediction of solarradiation
Dwijendra Nath Dwivedi
17. Concept of climate smart villages using artificial intelligence/machine learning
Purnima Mehta
18. Significance of AI to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action)
Vijaya Ilango
19. A cross-sectional study about the impacts of climate change on the flora, fauna and human society of Odisha, India
Manojit Bhattacharya
20. Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability
Kartikey Sahil
21. Role of artificial intelligence in environmental sustainability.
Mohamed Habila
Rohit Kamboj
2. Historical perspectives on climate change and its negative impacts on the nature
Shama E. Haque
3. Impact of climate change on water quality and its assessment
Sunita Verma
4. Climate change impacts on water resources and adaptation strategies
Sukanya raghavan
5. Impact of Plastics in the Socio-economic disaster of Climate Change: The Roadblocks of Sustainability
Arnab Banerjee
6. Impression of Climatic Variation on Flora, Fauna and Human Being: A present State of Art
Dipankar Ghosh
7. Impact of air quality as a component of climate change on biodiversity-based ecosystem services
Sylvester Chibueze Izah
8. Role of Climate Change in disasters occurrences: Forecasting and Management options
Alok Pratap Singh
9. Forecasting and management of disasters triggered by climate change
Fatemeh Rajabi
10. El-Nino Southern Oscillation and its Effects
Sayantika Mukherjee
11. Impact of socio-economic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan Region
Pardeep Singh
12. Modelling and forecasting of climate change effects using artificial intelligence techniques
Rajib Maity
13. The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production
Richa Saxena
14. Application of Artificial Intelligence in Environmental Sustainability and Climate Change
Neeta Kumari
15. Machine learning approaches for climate change impact assessment in agriculture production
Swati Singh
16. Benchmarking of traditional and advanced machine Learning modelling techniques for prediction of solarradiation
Dwijendra Nath Dwivedi
17. Concept of climate smart villages using artificial intelligence/machine learning
Purnima Mehta
18. Significance of AI to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action)
Vijaya Ilango
19. A cross-sectional study about the impacts of climate change on the flora, fauna and human society of Odisha, India
Manojit Bhattacharya
20. Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability
Kartikey Sahil
21. Role of artificial intelligence in environmental sustainability.
Mohamed Habila