Part of the Computer Sciences Commons

Works by Paheding Sidike in Computer Sciences

2021

Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning, Ebrahim Babaeian, Paheding Sidike, Nahian Siddique, Vijay K. Devabhaktuni, Markus Tuller
Michigan Tech Publications

U-net and its variants for medical image segmentation: A review of theory and applications, Nahian Siddique, Paheding Sidike, Colin P. Elkin, Vijay Devabhaktuni
Michigan Tech Publications

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Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning, Vasit Sagan, Maitiniyazi Maimaitijiang, Sourav Bhadra, Matthew Maimaitiyiming, Davis R. Brown, Paheding Sidike, Felix B. Fritschi
Michigan Tech Publications

Trends in Deep Learning for Medical Hyperspectral Image Analysis, Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Devabhaktuni
Michigan Tech Publications

2020

Binary chemical reaction optimization based feature selection techniques for machine learning classification problems, P. C. Srinivasa Rao, A. J. Sravan Kumar, Quamar Niyaz, Paheding Sidike, Vijay K. Devabhaktuni
Michigan Tech Publications

Leveraging very-high spatial resolution hyperspectral and thermal UAV imageries for characterizing diurnal indicators of grapevine physiology, Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha Kwasniewski
Michigan Tech Publications

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