Latest Articles for Neural Network

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.

This study uses computational methods to analyze running titles in historical texts.

A look at planning frameworks that balance safety and effectiveness in complex environments.

New technology combines quantum computing and AI for improved diagnosis of diabetic retinopathy.

Integrating deep learning enhances seismic imaging accuracy and efficiency.

This study reveals how synapses change strength and their role in learning and memory.

A new approach enhances turbulent flow simulations using machine learning techniques.

New methods leverage vector symbolic architectures for efficient neural network programming.

A new system enhances the speed of detecting gravitational waves.

A novel method to solve the BGK model using neural networks.

New methods improve imaging of cellular dynamics with high precision.

Recent research challenges the simplicity of the Knowledge Neuron Thesis in language models.

Exploring how machine learning enhances turbulence modeling for better predictions.

Exploring specialized neurons designed for specific tasks in artificial networks.

A new method improves safety in high-dimensional reachability for autonomous vehicles.

Exploring the importance of softmax in neural network performance and applications.

This article examines how neural networks predict sound behavior in ducts.

A novel method for estimating virtual FFR using deep learning techniques.

This article discusses the importance and challenges of out-of-distribution detection in machine learning.

DeepJSCC improves image quality in relay networks, integrating transmission with deep learning.

New methods improve matrix completion accuracy and efficiency across various fields.

New method enhances feature extraction for diagnosing bearing faults in machinery.

A new method enhances visibility calculations for AI in games.

Exploring PETScML's impact on scientific machine learning through second-order methods.