A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...
A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...
14hon MSN
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Organized by Scientific Explore Publications and coordinated from Madurai, Tamil Nadu, ICCMMAS 2025 featured technical ...
Computational methods are now a cornerstone in the study of fluid flow, heat transfer and mass transfer phenomena, underpinning modern simulations that inform both fundamental research and engineering ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Interesting Engineering on MSN
World’s first exascale supercomputer speeds plant science with new AI method
Scientists at the U.S. Department of Energy’s Oak Ridge National Laboratory have designed a ...
A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has developed a new computational method that can efficiently determine the crystal structures of multiphase ...
Zein Sadek and Natalie Frank perform experiments in the wind-wave facility at Portland State University to observe/characterize the flow behind an offshore floating wind turbine using particle image ...
Schematic image of X-ray data-enhanced computational method. Image Credit: University of Tokyo The method predicts structures directly from powder X-ray diffraction patterns, which are created when ...
The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...
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