Latest Articles for Neural Network

Learn about sound localization techniques and their uses in various fields.

Investigating scalar particles decaying into Higgs bosons through high-energy collisions.

New methods improve texture compression for graphics efficiency and quality.

A new approach combines machine learning and physical models for better molecular simulations.

A novel approach improves probabilistic forecasting for managing power systems.

Exploring advancements in understanding dark matter through gravitational lensing techniques.

This article highlights the importance of updating code comments for clarity.

Discover how machine learning reshapes material behavior modeling.

New methods improve stability of control systems under uncertain conditions.

A novel approach to managing interconnected nonlinear systems for improved stability and performance.

A new method shows promise in accurately measuring fluid movement in complex systems.

A new algorithm improves the verification of neural networks for reliability and fairness.

WeiPer improves out-of-distribution detection in machine learning models using weight adjustments.

This paper presents L-HiTS, a method for simulating complex systems using deep learning.

Explores the link between discrete control systems and deep learning techniques.

A new approach enhances understanding of student behaviors in MOOCs.

A new method enhances the reliability of neural networks in critical applications.

A look at simulation-based inference and its applications in research.

A new method for continual learning in AI systems enhancing retention of knowledge.

A new method uses neural networks to enhance galaxy power spectrum data analysis.

A new way to simulate structural behavior using machine learning techniques.

NEST uses neural networks to improve psychometric testing in vision studies.

Research reveals how spike trains enhance understanding of neuron interactions.

A new approach reduces complexity in multi-user communication systems using symbol-level extrapolation.

FlexKalmanNet improves spacecraft navigation by learning from data.

A new approach to improve robot movement planning and manipulation tasks.

New processing methods improve QIS for real-time imaging.

A fresh approach to digital urban scene representation, emphasizing speed and quality.

A new framework improves efficiency and accuracy in solving complex physical problems.

Neural networks improve efficiency and accuracy in radiation transport simulations.

Researchers utilize self-supervised learning to improve speech decoding from brain activity.

Research explores new methods for breast imaging without traditional contrast agents.

This method improves CFD accuracy and efficiency using machine learning.

Sub-THz communication is set to revolutionize high-speed data transmission.

Improving image quality in radio astronomy using machine learning techniques.

New designs inspired by nature using VoroTO enhance material performance efficiently.

Researchers are using data to predict drag efficiently on various rough surfaces.

New methods improve CT imaging for better medical diagnosis.

Using machine learning to enhance phase space tomography in particle accelerators.

A new approach using deep learning enhances clarity in astronomical imaging.