A New Collaborative Multi‐Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment

Mustafa Hamid Hassan; Salama A. Mostafa; Aida Mustapha; Mohd Zainuri Saringat; Bander Ali Saleh Al‐rimy; Faisal Saeed; A. E.M. Eljialy; Mohammed Ahmed Jubair

doi:10.3390/su14010510

A New Collaborative Multi‐Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment

Mustafa Hamid Hassan, Salama A. Mostafa^*, Aida Mustapha, Mohd Zainuri Saringat, Bander Ali Saleh Al‐rimy, Faisal Saeed, A. E.M. Eljialy, Mohammed Ahmed Jubair

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (SciVal)

Original language	English
Article number	510
Journal	Sustainability (Switzerland)
Volume	14
Issue number	1
DOIs	https://doi.org/10.3390/su14010510
Publication status	Published (VoR) - 1 Jan 2022

Funding

The authors express appreciation to the Malaysia Ministry of Higher Education (MoHE). This research was funded by the Fundamental Research Grant Scheme (FRGS/1/2019/ICT04/UTHM/03/1) grant vot number K209.The authors would like to thank the Department Of Environment (DOE) for providing the required data and assistance for this work. The authors also would like to thank the Center of Intelligent and Autonomous Systems (CIAS) at the Faculty of Computer Science and Information Technology (FSKTM), Universiti Tun Hussein Onn Malaysia (UTHM) for supporting this work. Funding: The authors express appreciation to the Malaysia Ministry of Higher Education (MoHE). This research was funded by the Fundamental Research Grant Scheme (FRGS/1/2019/ICT04/UTHM/03/1) grant vot number K209.

Funders	Funder number
Center of Intelligent and Autonomous Systems
Department Of Environment
FSKTM
Faculty of Computer Science and Information Technology
Universiti Tun Hussein Onn Malaysia
Ministry of Higher Education, Malaysia	FRGS/1/2019/ICT04/UTHM/03/1

Keywords

Air pollution
Air quality index
Autoregressive integrated moving average
Monte Carlo simulation
Multi‐agent system
Risk assessment

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10.3390/su14010510

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title = "A New Collaborative Multi‐Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment",

keywords = "Air pollution, Air quality index, Autoregressive integrated moving average, Monte Carlo simulation, Multi‐agent system, Risk assessment",

author = "Hassan, \{Mustafa Hamid\} and Mostafa, \{Salama A.\} and Aida Mustapha and Saringat, \{Mohd Zainuri\} and Al‐rimy, \{Bander Ali Saleh\} and Faisal Saeed and Eljialy, \{A. E.M.\} and Jubair, \{Mohammed Ahmed\}",

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AU - Hassan, Mustafa Hamid

AU - Mostafa, Salama A.

AU - Mustapha, Aida

AU - Saringat, Mohd Zainuri

AU - Al‐rimy, Bander Ali Saleh

AU - Saeed, Faisal

AU - Eljialy, A. E.M.

AU - Jubair, Mohammed Ahmed

PY - 2022/1/1

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KW - Air pollution

KW - Air quality index

KW - Autoregressive integrated moving average

KW - Monte Carlo simulation

KW - Multi‐agent system

KW - Risk assessment

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A New Collaborative Multi‐Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment

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Keywords

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