In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

To address these problems, a research team led by Professor Kenta Nakai of the Institute of Medical Science, The University ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

understand essential deep learning framework including tensorFlow and pyTorch. Study of advanced topics of current interest in the field of deep learning, with an emphasis on understanding the network ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

To address these problems, a research team led by Professor Kenta Nakai of the Institute of Medical Science, The University ...

Scientists from Saudi Arabia’s King Fahd University of Petroleum & Minerals have analyzed the benefits of an ensemble-based deep learning framework for PV cell defects classification.