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Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model.

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第一作者： Abdulmohsen,Almalawi

第一单位： Computer Science Department, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.

作者： Abdulmohsen,Almalawi ^[1] ; Asif Irshad,Khan ^[2] ; Fawaz,Alsolami ^[1] ; Ali,Alkhathlan ^[1] ; Adil,Fahad ^[3] ; Kashif,Irshad ^[4] ; Ahmed S,Alfakeeh ^[5] ; Sana,Qaiyum ^[6]

作者单位： Computer Science Department, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. ^[1] Computer Science Department, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. Electronic address: aikhan@kau.edu.sa. ^[2] Department of Computer Science, College of Computer Science & Information Technology, Al Baha University, Al Baha, 65527, Saudi Arabia. ^[3] Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia; Researcher at K.A.CARE Energy Research & Innovation Center at Dhahran, Saudi Arabia. ^[4] Department of Information Systems, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. ^[5] Center for Research in Data Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak, Malaysia. ^[6]

关键词 Air pollution Airborne particle bound metals Arithmetic optimization algorithm Deep learning LSTM model

医学主题词空气污染物(Air Pollutants);环境监测(Environmental Monitoring);人类(Humans);金属, 重(Metals, Heavy);粒子大小(Particle Size);颗粒物(Particulate Matter)

DOI 10.1016/j.chemosphere.2022.134960

PMID 35580643

发布时间 2022-06-28

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