Latest Articles for Neural Network

New methods help robots navigate challenges in dynamic environments effectively.

Researchers enhance combustion simulations through AI and GPU integration.

Learn how PINNs combine deep learning with physics for efficient problem-solving.

Discover how new methods improve efficiency in complex scientific problems.

This research evaluates strategies for managing complex systems under uncertainty.

Faster methods for analyzing gravitational waves using neural networks show promise.

A new method accelerates merge tree comparisons in scientific data analysis.

Quantum sensing leverages quantum mechanics for precise measurements across various fields.

This research presents a combined approach for quicker protein movement simulations.

Exploring the connection between neural networks and cellular automata through many-valued logic.

A new benchmark to improve how robots locate objects using various methods.

New hybrid models improve predictions of material behavior under cyclic stress.

This study introduces NNBF to enhance ground state calculations in quantum chemistry.

Examining how quantum algorithms can enhance our understanding of neural networks.

This article explores methods to identify black holes using space telescopes and machine learning.

This article discusses enhancing error detection in ADS using early neural activation patterns.

ATLAS experiment reveals significant findings on electroweak production processes.

This study advances music education by automating the assessment of piano piece difficulty.

New algorithms enhance the shifted POD method for better fluid dynamics modeling.

Research focuses on enhancing LLMs for better Ukrainian representation.

A look into challenges and advancements in Visual Question Answering systems.

A new method improves reconstruction from data using untrained neural networks.

A new algorithm revolutionizes radio astronomy imaging with faster, high-quality results.

Researching techniques to reduce noise in quantum computing using neural networks.

A new approach for players in continuous-state partially-observable games using real-time strategies.

A new model predicts outcomes for ICU patients on mechanical ventilation.

New methods improve accuracy in counting Aedes aegypti mosquito eggs.

New methods improve prediction of protein regions lacking stable structure.

Integrating soft physical information enhances neural network predictions in hydraulic modeling.

Machine learning improves artificial viscosity models for enhanced numerical simulations.

A new method combines traditional techniques with neural networks for better sound localization.

Exploring the turnpike property’s impact on solving Mean Field Games numerically.

Research on impurities in fusion plasma is crucial for cleaner energy solutions.

Study explores AI's role in optimizing plasma stability through effective magnetic field predictions.

Exploring neural networks for improved control in distillation columns.

This article discusses using deep learning to read chess scoresheets automatically.

A new method improves image realism by focusing on light interactions.

RSTAR-Net reduces streak artifacts in lung cancer images, enhancing treatment precision.

A new method enhances accuracy in price prediction by refining feature selection.

A new method enhances control strategies for complex systems influenced by uncertainties.