A Data-Intelligent Scheme Toward Smart Rescue and Micro-Services-Reference-Cited by-同舟云学术

A Data-Intelligent Scheme Toward Smart Rescue and Micro-Services

Published:2023 Issue: Volume:11 Page:27086-27098
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zaman Nafees¹^ORCID,Saiid Ahmad Abu²,Rahman Md Arafatur³^ORCID,Askar Shavan⁴^ORCID,Zain Jasni Mohamad⁵

Affiliation:

1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

2. École Polytechnique de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium

3. School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, U.K.

4. Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Iraq

5. Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Komplek Al-Khawarizmi, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Funder

University of Wolverhampton, U.K.

Institute for Big Data Analytics and Artificial Intelligence

Universiti Teknologi MARA, Malaysia

Erbil Polytechnic University, Iraq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10075673.pdf?arnumber=10075673

Reference33 articles.

1. Challenges and Opportunities of Using Big Data for Assessing Flood Risks

2. Modelling urban floods at submetre resolution: challenges or opportunities for flood risk management?

3. Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

4. Heavy rainfall and flood vulnerability of Singapore-Malaysia high speed rail system

5. Principal component analysis: a review and recent developments

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