Latest Articles for Neural Network

This method enhances synchronization accuracy in complex communication environments using lightweight neural networks.

Introducing MYVT: a method for effective optimization in machine learning.

Improving resilience in legal prediction models through advanced training methods.

This study compares pattern spectra and CTA images for gamma-ray analysis.

Examining how observation time affects decision-making and information processing.

Introducing a neural network that efficiently approximates Wasserstein distance for complex point sets.

A novel approach combines agent-based models with neural networks for forecasting.

A new approach to improve graphics quality in video games through neural networks.

Researchers enhance data filtering in Belle II experiments using neural networks to identify relevant events.

Study examines classification challenges due to covariate shift in gamma-ray sources.

A new method for comparing different data sets effectively.

This article discusses how seasonal trends enhance query autocomplete systems.

Enhancing understanding of AI predictions in diabetes diagnosis for better patient care.

Saudi Arabia invests in advanced methods for renewable wind energy data prediction.

This study examines the correlation between galaxies and their dark matter halos.

Researchers use neural networks to better study brain connectivity and functioning.

Exploring the role of PINNs in solving complex differential equations across various fields.

A new method combines machine learning and simulation to optimize THz radiation output.

Learn how neural networks can reduce memory usage in safety-critical system controllers.

A method for better understanding neuron behaviors in AI systems.

This research explores how EEG signals can accurately identify emotions through machine learning.

New method improves accuracy in turning piano audio into sheet music.

New decoding methods enhance quantum error correction, ensuring accuracy in complex computations.

A new method streamlines parameter estimation using neural networks for diverse populations.

CortexMorph offers rapid and accurate measurements of cortical thickness for improved brain health assessments.

Examining the threats posed by adversarial attacks on AI systems.

A method that reduces neural network complexity to improve verification efficiency.

QiankunNet uses neural networks to improve quantum chemistry calculations.

Researchers combine factorization and quantization to improve AI efficiency.

Exploring the potential of quantum neurons in enhancing neural networks.

Researchers use deep learning to improve turbulence models in fluid dynamics.

A new method enhances prediction accuracy for partial differential equations.

Research combines machine learning and quantum physics to identify quantum correlations in qubits.

Introducing a new approach for modeling systems with randomness using neural networks.

Research enhances percussive fingerstyle techniques for guitarists using real-time sound retrieval.

A new framework improves patient outcome predictions using diverse medical data.

Leveraging deep learning to improve error correction in telecommunications.

A study on reduced order models for fluid flow around porous obstacles.

An overview of convolution's impact across various fields and its historical development.

Simplifying 3D modeling with intuitive language-based controls.