Latest Articles for Neural Network

New models enhance accuracy in gas-particle flow simulations for industry and environment.

A new approach using neural networks enhances viscosity for high-order methods.

A fresh approach to clarify how images influence neural network decisions.

A simpler way to predict complex patterns using fluid dynamics.

A new approach assesses audio quality using multiple microphones in various environments.

Examining solutions to improve accuracy in location-based population statistics.

This article discusses kernel classifiers and their performance in Sobolev spaces.

Innovative methods to analyze cosmic events using advanced neural networks.

Explore how DualView improves data attribution in machine learning models.

A new method enhances how robots understand their surroundings for better navigation.

Using machine learning to improve optical tweezers for precise particle rearrangement.

Advancements in using machine learning for particle behavior prediction in the BGK model.

Algebra introduces new methods for handling complex data in machine learning.

Enhancing safety in machines through better perception contracts and learning-based approaches.

A new workflow enhances XCT image quality and inspection speed for metal parts.

Improving image quality in X-ray CT through targeted loss functions.

This study presents a neural network designed to understand periodic systems.

Learn how dereverberation boosts speech recognition in noisy environments.

A two-stage process for accurate modeling of complex systems using neural networks.

A new approach uses neural networks to speed up eigenvalue and eigenvector finding.

A new multilingual corpus improves argument generation and analysis.

A new method improves the separation of blended galaxy sources using machine learning.

A method for understanding data interactions in various fields.

This method enhances robot navigation using neural networks for efficient path planning.

This study investigates adaptive activation functions for improved model performance in low data scenarios.

Research focuses on optimizing synthesizers for human vocalizations in various media.

SymbolNet enhances symbolic regression using neural networks for efficient model generation.

A novel method for accurate foreground-background separation in images.

Researchers develop streamlined models to better predict neuron responses in V1.

A method to connect neural networks with symbolic reasoning for better performance.

New method enhances reliability of object detection in self-driving cars.

New imaging method uses neural networks for faster tissue analysis supporting cancer research.

World models aid self-driving cars in predicting road events for safety.

A new method improves solving complex equations using machine learning.

A new method simplifies audio style transfer using non-differentiable effects.

Examining LLMs' capability to address mathematical problems, especially modular arithmetic.

A new method combines neural networks and domain decomposition for solving complex PDEs.

A novel approach improves efficiency in spiking neural networks without task dependency.

A new method enhances diffusion models by using nearest neighbour score estimation.

A review of deep learning's role in predicting software performance configurations.