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Muhammad Bilal

King Fahd University of Petroleum and Minerals (KFUPM)

Assistant Professor

Academic Belt Road

Dhahran, Eastern Province 31261

Saudi Arabia

http://www.researchgate.net/profile/Muhammad-Bilal-428

SCHOLARLY PAPERS

5

DOWNLOADS

257

TOTAL CITATIONS

0

Ideas:
“  Assistant Professor / Remote Sensing / Smart & Sustainable Cities Research Scholar / Center for Aviation & Space Exploration  ”

Scholarly Papers (5)

1.

BAM: An Automated, Self-Supervised Machine Learning Framework for Near-Real-Time Wildfire Burned Area Mapping using Multi-Source Earth Observation

Number of pages: 64 Posted: 07 Mar 2026
Mirza Waleed and Muhammad Bilal
Hong Kong Baptist University and King Fahd University of Petroleum and Minerals (KFUPM)
Downloads 74 (860,052)

Abstract:

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wildfire mapping, self-supervised learning, Earth observation, near-real-time (NRT), burned area, landsat, google earth engine, remote sensing

2.

Summer Monsoon Rainfall Variations and its Association with Atmospheric Circulations Over Sudan

Number of pages: 24 Posted: 08 Dec 2021
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Technology Malaysia, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, King Fahd University of Petroleum and Minerals (KFUPM), affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 72 (860,052)

Abstract:

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Rainfall, Summer monsoon, Empirical Orthogonal Function (EOF), Sudan.

3.

Cloud Cover Increased COVID-19 Incidence According to Global Evidence

Number of pages: 17 Posted: 04 Nov 2022
Yang Chen, Zihan Kan, Luliang Tang, Lei Wang and Muhammad Bilal
South China Normal University, The Chinese University of Hong Kong (CUHK), Wuhan University, Northeast Forestry University and King Fahd University of Petroleum and Minerals (KFUPM)
Downloads 64 (933,592)

Abstract:

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COVID-19, linear mixed effects model, climatic variables, cloud cover, multi-source satellite data

4.

Long-Term Validation and Error Analysis of Db and Maiac Aerosol Products Over Bright Surface of China

Number of pages: 31 Posted: 28 Jul 2023
Henan Polytechnic University, Henan Polytechnic University, Henan Polytechnic University, King Fahd University of Petroleum and Minerals (KFUPM), Henan Polytechnic University, China Academy of Meteorological Sciences, Henan Polytechnic University and Henan Polytechnic University
Downloads 47 (1,097,529)

Abstract:

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DB, MAIAC, Validation, Error Analysis, Critical surface albedo

5.

Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region

Posted: 21 Feb 2025
Sidho Kanho Birsha University, American University of Sharjah, Govt. Degree College For Women IslamPura, affiliation not provided to SSRN, Sidho Kanho Birsha University, University of Texas at Dallas - School of Economic, Political and Policy Sciences, King Fahd University of Petroleum and Minerals (KFUPM) and Sidho Kanho Birsha University

Abstract:

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Chamoli District · Deep Learning Algorithms · GIS-based Susceptibility Mapping · Landslide Susceptibility · Machine Learning · Natural Disaster · Uttarakhand