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A major difficulty in integrating large scale wind power generation in an electrical power system is that wind generated power appears to be erratic, intermittent, and volatile. In this paper, we demonstrate the efficacies of a novel ultra short term 1-step ahead wind generated power prediction model, by combining two best of breed machine learning models in their respective areas of applications: a deep convolutional neural network (CNN) model, known to be effective in classification problems, and a bi-directional long short term memory (Bi-LSTM) model, known to be effective in 1-step ahead t...

Researchers from the Indian Institute of Technology (IIT) Guwahati have developed a Deep Learning (DL)-based framework that automatically assesses the knee osteoarthritis severity from X-ray images.The AI-based model, named OsteoHRNet, can be ...

Researchers from the Indian Institute of Technology Guwahati have developed an artificial intelligence-based model named OsteoHRNet, which detects knee osteoarthritis severity from X-ray images. The algorithm uses an efficient Deep Convolutional Neural Network along with the High-Resolution Network, to accurately predict arthritis severity as per WHO's Kellgren and Lawrence grading scale.

Japan: A recent study published in Scientific Reports has suggested that a deep convolutional neural network (DCNN) can be used to classify mammographic breast positioning to evaluate imaging...

Of the nearly 200 Washington State University students presenting at the Showcase for Undergraduate Research and Creative Activities 2023 event on March 27, 49 received a total of 43 awards totaling $9,200.