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Tarig Ali

American University of Sharjah

SCHOLARLY PAPERS

4

DOWNLOADS

260

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Mapping of Heavy Metal Contamination Associated to Microplastics Marine Debris-A Case Study: Dubai, Uae

Number of pages: 20 Posted: 28 Mar 2023
Atta Attaelmanan, Huda Aslam, Tarig Ali and Lara Dronjak
affiliation not provided to SSRN, affiliation not provided to SSRN, American University of Sharjah and Universitat Rovira i Virgili
Downloads 126 (584,619)

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Microplastics pollution, emerging contaminant, heavy metals, X-ray fluorescence

2.

Predicting Sea Level Rise Along Dubai's Coastline by 2050: A Machine Learning and Deep Learning Approach

Number of pages: 24 Posted: 28 Aug 2024
Siva Durga Adduri, Tarig Ali and Eman Ahmed AlFalasi
American University of Sharjah, American University of Sharjah and affiliation not provided to SSRN
Downloads 83 (796,622)

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Sea level rise, Deep Learning, Machine Learning, LSTM, CNN, Regression

3.

Analyzing Hydrodynamic Changes in Dubai Creek, Uae: A Pre- and Post-Extension Study

Number of pages: 10 Posted: 11 Oct 2024
Khaled Elkersh, Serter Atabay, Tarig Ali, Abdullah Gokhan Yilmaz, Maruf Mortulaa and Geórgenes Cavalcantec
American University of Sharjah, American University of Sharjah, American University of Sharjah, La Trobe University, American University of Sharjah and affiliation not provided to SSRN
Downloads 51 (1,052,702)

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Hydrodynamic modeling, Water Quality, flushing, residence time

4.

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

Posted: 21 Feb 2025
Subhasis Bhattacharya, Tarig Ali, Ayan Mondal, Chaitanya B Pande, Sudip Chakravorti, Muhammad Tauhidur Rahaman, Muhammad Bilal and Barun Kumar Majee
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

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