Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify ...

The White House released an expansive report that blames a crisis of chronic disease in children on ultraprocessed foods, chemical exposures, lack of physical activity, stress and excessive use of ...

Such features serve as inputs for training and testing several artificial neural networks. Statistical tests are carried out to assess the performance and to pick the best neural network ... process.

For the latest release MiDaS 3.1, a technical report and video are available. MiDaS was trained on up to 12 datasets (ReDWeb, DIML, Movies, MegaDepth, WSVD, TartanAir, HRWSI, ApolloScape, BlendedMVS, ...

A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.

The production process of baijiu with ... comparing it with traditional machine learning methods. The prediction accuracy of the CA-CNN (98.53%) is better than the back-propagation artificial neural ...

In particular, we develop a novel End-To-End Mixture Clustering Attention Neural Network (MC-ANN) model for univariate time series forecasting, which we show is able to predict future reservoir water ...