Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Abstract: The prevalence of epilepsy is estimated to be 1 percent of the world, with recurring fits of epilepsy because of excessive electrical activity within the brain, and basal ganglia diseases, ...
Permanent magnet synchronous motor (PMSM) may develop faults during long-term operation, affecting the stability and safety of the drive system. The convolutional neural network (CNN)-gated recurrent ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
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