Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...
Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...
The White House unveiled a Presidential Walk of Fame outside the West Wing on Wednesday, which showed a portrait of former President Joe Biden replaced with the image of an autopen, a device ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Dr. Russell C. Hardie graduated Magna Cum Laude from Loyola College in Baltimore, Maryland, in 1988 with a B.S. degree in Engineering Science. He obtained an M.S. and Ph.D. degree in Electrical ...
Dr. Xiaojun Qi is a Professor in the School of Computing and Director of the Computer Vision Laboratory at Utah State University (USU). She is an expert in artificial intelligence, specializing in ...
The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...
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