大葉大學圖書館 |

Artificial intelligence of things for weather forecasting and climatic behavioral analysis[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	551.630285/63
書名/作者:	Artificial intelligence of things for weather forecasting and climatic behavioral analysis/ Rajeev Gupta, Arti Jain, John Wang, Ved Singh, and Santosh Bharti, editors.
其他作者:	Gupta, Rajeev Kumar.
出版者:	Hershey, Pennsylvania : : IGI Global,, 2022.
面頁冊數:	1 online resource (277 p.)
標題:	Meteorology - Data processing.
標題:	Artificial intelligence.
標題:	Weather broadcasting - Data processing.
ISBN:	9781668439838 (electronic bk.)
ISBN:	9781668439814
ISBN:	1668439824
ISBN:	9781668439821
ISBN:	1668439816
書目註:	Includes bibliographical references and index.
內容註:	Section 1. Chapter 1. Introduction to meteorology and weather forecasting ; Chapter 2. Role of meteorological satellites and radar in weather forecasting ; Chapter 3. Enhancement of meteorological observational systems using the Internet of things ; Chapter 4. Satellite remote sensing and climate behavioral analysis ; Chapter 5. Tools and techniques to implement aiot in meteorological applications -- Section 2. Chapter 6. Advancements in weather forecasting with deep learning ; Chapter 7. Multivariate time series forecasting of rainfall using machine learning ; Chapter 8. Deep learning solutions for analysis of synthetic aperture radar imageries ; Chapter 9. Harnessing artificial intelligence for drought management ; Chapter 10. Soil-water management with AI-enabled irrigation methods ; Chapter 11. Flood assessment using hydrodynamic HEC-RAS modelling ; Chapter 12. Water quality time-series modeling and forecasting techniques -- Section 3. Chapter 13. Intelligent agrometeorological advisory system ; Chapter 14. A robust method for classification and localization of satellite cyclonic images over the bay of bengal and the Arabian Sea using deep learning ; Chapter 15. Review of weather-affected urban air pollution forecast models.
摘要、提要註:	"This book provides extensive research for weather forecasting and climatic behavioral prospects that contribute towards detection of weather hazards, mitigation and disaster management through technological enhancement including Machine Learning, Deep Learning, Internet of Things, Artificial Intelligence, Big Data Analytics and Geo-Spatial Visualization."
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-3981-4

Artificial intelligence of things for weather forecasting and climatic behavioral analysis[electronic resource] /
Artificial intelligence of things for weather forecasting and climatic behavioral analysis[electronic resource] /Rajeev Gupta, Arti Jain, John Wang, Ved Singh, and Santosh Bharti, editors. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (277 p.)

Includes bibliographical references and index.

Section 1. Chapter 1. Introduction to meteorology and weather forecasting ; Chapter 2. Role of meteorological satellites and radar in weather forecasting ; Chapter 3. Enhancement of meteorological observational systems using the Internet of things ; Chapter 4. Satellite remote sensing and climate behavioral analysis ; Chapter 5. Tools and techniques to implement aiot in meteorological applications -- Section 2. Chapter 6. Advancements in weather forecasting with deep learning ; Chapter 7. Multivariate time series forecasting of rainfall using machine learning ; Chapter 8. Deep learning solutions for analysis of synthetic aperture radar imageries ; Chapter 9. Harnessing artificial intelligence for drought management ; Chapter 10. Soil-water management with AI-enabled irrigation methods ; Chapter 11. Flood assessment using hydrodynamic HEC-RAS modelling ; Chapter 12. Water quality time-series modeling and forecasting techniques -- Section 3. Chapter 13. Intelligent agrometeorological advisory system ; Chapter 14. A robust method for classification and localization of satellite cyclonic images over the bay of bengal and the Arabian Sea using deep learning ; Chapter 15. Review of weather-affected urban air pollution forecast models.

"This book provides extensive research for weather forecasting and climatic behavioral prospects that contribute towards detection of weather hazards, mitigation and disaster management through technological enhancement including Machine Learning, Deep Learning, Internet of Things, Artificial Intelligence, Big Data Analytics and Geo-Spatial Visualization."

ISBN: 9781668439838 (electronic bk.)Subjects--Topical Terms:

519755
Meteorology
--Data processing.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QC874.3 / .A75 2022eb

Dewey Class. No.: 551.630285/63

Artificial intelligence of things for weather forecasting and climatic behavioral analysis[electronic resource] /
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504 $a Includes bibliographical references and index.
505 0 $a Section 1. Chapter 1. Introduction to meteorology and weather forecasting ; Chapter 2. Role of meteorological satellites and radar in weather forecasting ; Chapter 3. Enhancement of meteorological observational systems using the Internet of things ; Chapter 4. Satellite remote sensing and climate behavioral analysis ; Chapter 5. Tools and techniques to implement aiot in meteorological applications -- Section 2. Chapter 6. Advancements in weather forecasting with deep learning ; Chapter 7. Multivariate time series forecasting of rainfall using machine learning ; Chapter 8. Deep learning solutions for analysis of synthetic aperture radar imageries ; Chapter 9. Harnessing artificial intelligence for drought management ; Chapter 10. Soil-water management with AI-enabled irrigation methods ; Chapter 11. Flood assessment using hydrodynamic HEC-RAS modelling ; Chapter 12. Water quality time-series modeling and forecasting techniques -- Section 3. Chapter 13. Intelligent agrometeorological advisory system ; Chapter 14. A robust method for classification and localization of satellite cyclonic images over the bay of bengal and the Arabian Sea using deep learning ; Chapter 15. Review of weather-affected urban air pollution forecast models.
520 3 $a "This book provides extensive research for weather forecasting and climatic behavioral prospects that contribute towards detection of weather hazards, mitigation and disaster management through technological enhancement including Machine Learning, Deep Learning, Internet of Things, Artificial Intelligence, Big Data Analytics and Geo-Spatial Visualization."
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