Researchers have developed an innovative approach to predict the working status of high-formwork support systems (HFSS) by combining finite element model (FEM) simulations with deep learning and large ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
A camera and AI combo offers a contactless way to assess pain ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Postdoctoral researcher in ML for dynamical systems representation, prediction, and state-estimation
The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for ...
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