Abstract: Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks ...

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...

In real-sample evaluations, the machine learning model successfully estimated free chlorine levels, despite variations in the base solution parameters and the presence of impurities. These results ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Recent developments in computational chemistry facilitate the automated quantum ...

Physics-informed propellant combustion and nozzle performance simulator with an optional TensorFlow surrogate for specific impulse. Computes exhaust velocity, thrust, Isp, temp/pressure profiles, wall ...