In this study, the authors use microCT to image an intact hatchling octopus and segment major organ systems, including the vascular, respiratory, digestive, and nervous systems. The resulting dataset ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

This repository contains the Python implementation and the official laboratory report for Emath 211: Numerical Method. The project demonstrates how to apply various polynomial interpolation techniques ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Chawla, A. (2026) On the Black Hole Information Loss Paradox under a Novel Phenomenological Model of Quantum Measurements.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: The climate change of the last decades is causing an increase in the frequency of extreme event occurrences. Numerous studies confirm the link between extreme meteorological events and ...

Abstract: The absolute positioning accuracy of industrial robot is essential in the applications of offline programing, machining etc. Kinematic calibration is the ...

SEVERAL current text-books on numerical mathematics give descriptions of what is called the ‘Bashforth–Adams’ process for the solution of differential equations. The method is usually dismissed with a ...