‪Foad Namjoo‬ - ‪Google Scholar‬

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Co-authors

Zahir NikraftarGoogle DeepMind PhD Studentship, Queen Mary university of LondonVerified email at qmul.ac.uk
Mahboubeh BoueshaghPhD Candidate, Earth and Environmental Sciences, Lehigh UniversityVerified email at lehigh.edu
Meisam AmaniWSP, Ottawa, Canada

Foad Namjoo

Foad Namjoo

University of Utah

Verified email at utah.edu - Homepage

Geometric Data Analysis Spatial Statistics Data Mining Machine Learning


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A machine learning approach for Harmful Algal Bloom (red tide) Forecasting Using MODIS level 3 Ocean colour products from Google Earth Engine Moein Izadi, Foad Namjoo, Zahir Nikraftar AGU Fall Meeting 2021, 2021	1*	2021
Statistical learning approach to Harmful Algal Bloom Forecasting Using MODIS Ocean colour parameters M.Izadi, M.Sultan, R.Kadiri, A.Ghannadi, Z.Nikraftar, F.Namjoo AGU Fall Meeting 2020 2020, IN011-09, 2020	1*	2020
A Hyperspectral Change Detection (HCD-Net) Framework Based on Double Stream Convolutional Neural Networks and an Attention Module ST Seydi, M Boueshagh, F Namjoo, SM Minouei, Z Nikraftar, M Amani Remote Sensing 16 (5), 827, 2024		2024
Australian 2020 Bushfire Propagation, Network Science Approach Foad Namjoo, Ali Kamandi, Seyed Mohammad Minouei National Conference on Vision of the Country, 2020		2020

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Articles 1–4