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Mubarak Alrashoud on Muck Rack

Mubarak Alrashoud

As seen in: Nature, MDPI
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Articles

Advancing e-waste classification with customizable YOLO based deep learning models - Scientific Reports

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By Mubarak Alrashoud
| Nature Verified
Abstract The burgeoning problem of electronic waste (e-waste) management necessitates sophisticated, efficient, and precise classification techniques for recycling and repurposing. To address these critical environmental and health implications, this research delves into a comprehensive analysis of three cutting-edge object detection models: YOLOv5, YOLOv7, and YOLOv8.
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Rectangular Cylinder Orientation and Aspect Ratio Impact on the Onset of Vortex Shedding

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By Waqas Abbasi, Neelam Tahir, Hamid Rahman, Mubarak Alrashoud
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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