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Tag: Rahaman

Machine Learning versus Deep Learning in Land System Science: A Decision-Making Framework for Effective Land Classification

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SOUTHWORTH, SMITH, SAFAEI, RAHAMAN, ALRUZUQ, TEFERA – Machine Learning versus Deep Learning in Land System Science: A Decision-Making Framework for Effective Land Classification Jane Southworth, Audrey C. Smith, Mohammad Safaei, Mashoukur Rahaman, Ali Alruzuq, Bewuket B. Tefera, Carly S. Muir, Hannah V. Herrero Article first published online: 8 APRIL 2024 DOI: https://doi.org/10.3389/frsen.2024.1374862 ABSTRACT: This review […]

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Mashoukur Rahaman

He/Him/His m.rahaman@ufl.edu Google Scholar Focus Area: Geospatial Analysis and Techniques Country of Origin: Bangladesh Degree Program: Master of Science Entered Program: Spring 2022 Expected Graduation: Fall 2023 Dissertation Topic: TBD Research Statement: I have a strong interest in using geospatial data science, remote sensing, and machine learning to address important questions concerning agriculture, environmental risks, and urban dynamics. […]

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