Latest Articles for Neural Network

A new method for accurate pitch detection in music and sound.

A look at challenges in Federated Learning from data reconstruction attacks.

New neural network method improves roughness estimation in SAR images.

A new model enhances predictions for magnetic hysteresis in materials.

Research shows AI can simulate how animals navigate and remember locations.

Machine learning techniques streamline the analysis of topological materials.

AQC offers fresh solutions to efficiently train neural networks.

Research reveals the complex role of grid cells in navigation and spatial awareness.

The -Cell model merges traditional and machine learning techniques for predicting volatility.

Researchers study plasma dynamics to improve fusion energy predictions.

Exploring the need for safety and trust in AI systems.

Examining how windshields affect the perception capabilities of self-driving cars.

Innovative systems aim to answer patient questions using medical images.

DeepVol uses deep learning for improved volatility predictions across various financial assets.

A new system converts EEG data for improved predictions using pre-trained models.

Soft merging enhances deep learning by combining models efficiently and effectively.

Neural networks improve the accuracy and efficiency of 3D surface reconstruction from point clouds.

This article explains using neural networks for scene recognition in films and shows.

LPNets enhance the simulation of Hamiltonian systems, preserving essential properties.

A new method uses Variational Autoencoders for improved weather prediction accuracy.

A model aids in identifying faint cosmic signals from black hole events.

EndoNet automates H-score calculations for improved accuracy in tissue analysis.

A study on using neural networks for better parametric optimization in decision-making.

A new approach to solving complex equations using physics-informed DeepONet technology.

Researchers use neural networks to analyze cosmic ray particle behavior effectively.

This study examines methods to predict starvation resistance using genetic and functional data.

A new method offers multiple reasons for image classifications, enhancing understanding and trust.

Exploring a new method for precise excited state calculations in quantum systems.

A look into improving neural networks through optimization and training techniques.

Discover how multi-level neural networks improve solutions to complex mathematical equations.

Learn how natural language can improve smart kitchen device usability.

Neural network approaches enhance equalization in modern communication systems.

Examining the Riemann hypothesis and its ties to prime numbers and neural networks.

Learn about the basics of learning systems and their role in data analysis.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

Exploring how machine learning improves wavefront control in adaptive optics systems.

A new method improves data efficiency in signal reconstruction.

New methods for modeling copulas enhance data relationship analysis.

ONNXExplainer offers fast explanations for neural networks, improving transparency in AI.

Neural networks enhance signal processing in optical communication systems, reducing errors and boosting performance.