A methodological framework for extreme climate risk assessment integrating satellite and location based data sets in intelligent systems-Reference-Cited by-同舟云学术

A methodological framework for extreme climate risk assessment integrating satellite and location based data sets in intelligent systems

Published:2021-05-26 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Jha Srinidhi¹^ORCID,Goyal Manish K.¹^ORCID,Gupta Brij B.²³^ORCID,Hsu Ching‐Hsien⁴⁵⁶^ORCID,Gilleland Eric⁷^ORCID,Das Jew¹^ORCID

Affiliation:

1. Discipline of Civil Engineering Indian Institute of Technology Indore India

2. Department of Computer Engineering National Institute of Technology Kurukshetra India

3. Department of Computer Science and Information Engineering Asia University Taiwan China

4. Guangdong‐Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, School of Mathematics and Big Data Foshan University Foshan China

5. Department of Computer Science and Information Engineering Asia University Taiwan

6. Department of Medical Research, China Medical University Hospital China Medical University Taiwan

7. Research Applications Laboratory National Centre for Atmospheric Research Boulder Colorado USA

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22475

Reference86 articles.

1. Spatial distribution of the level of return of extreme precipitation events in Northeast Brazil

2. Changes in Extreme Precipitation and Landslides Over High Mountain Asia

3. Future changes in annual precipitation extremes over Southeast Asia under global warming of 2°C

4. Increase in extreme precipitation events under anthropogenic warming in India

5. The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Role of Machine Learning in Understanding and Managing Atmospheric Rivers;SpringerBriefs in Applied Sciences and Technology;2024

2. Major Large-Scale Climate Oscillations and Their Interactions with Atmospheric Rivers;SpringerBriefs in Applied Sciences and Technology;2024

3. Exports as a new paradigm to connect business and information technology for sustainable development;Journal of Innovation & Knowledge;2022-10

4. Advances in Intelligent Expert Systems for Risk Analysis in a Complex Business Environment with Appropriate Solutions;International Journal of Reliability, Quality and Safety Engineering;2022-06-27

5. Intelligent Retrieval Method of Power System Service User Satisfaction Based on Human-Computer Interaction;Journal of Interconnection Networks;2022-02-04