Latest Articles for Neural Network

Assessing uncertainty in neural networks for improved scientific predictions.

Research explores the connection between string theory and the masses of quarks.

This project aims to improve recognition of Gujarati-English mixed speech.

Exploring how adversarial examples influence machine learning models.

Our method eliminates self-intersections in 3D body shapes and poses.

A look at how ICLRNN enhances neural networks for real-world applications.

A new modulator design improves IoT device communication.

A new model enhances accuracy and efficiency in predicting electron density.

Machine learning improves efficiency and accuracy in continuous beam structural design.

New techniques enhance CBCT image quality and speed for better patient outcomes.

Researchers combine neural networks to enhance simulation accuracy and efficiency.

A new emulator speeds up the study of kilonovae light curves.

Research shows deep learning improves our grasp of language rhythm.

A new method enhances brain surface analysis from MRI scans.

Differentiable logics enhance machine learning through improved formal verification and training techniques.

A new method improves image quality affected by speckle noise using machine learning.

Exploring how UDEs advance understanding of neural systems through modern techniques.

New method enhances identification of unusual events in video footage.

Using neural networks to solve complex partial differential equations efficiently.

Examining the role of signal functions and delays in neural networks.

Innovative protocols enhance machine learning while protecting sensitive data.

A look at how neural networks can model complex functions in various fields.

Using neural networks to solve constraints in a gravity model.

LayoutFlow improves layout quality and speed for various design tasks.

This study examines simulation's role in developing control policies for autonomous robots.

Research examines machine learning to enhance fetal health checks during labor.

Learn how unrolling improves neural network training for physical simulations.

Deep learning techniques enhance the quality of CBCT images by reducing artifacts.

This study explores how neural networks can analyze swarming robot behaviors.

A look at how tau and amyloid-β impact Alzheimer's progression.

A new method for generating weather forecasts improves crop yield predictions.

A new method enhances quality control for solar images at the National Solar Observatory.

A new method improves imaging of sensitive samples in low light.

Combining language and navigation improves how robots function in various environments.

TREET utilizes transformers to improve transfer entropy analysis across various fields.

This article examines the difficulties of adapting deep learning in dynamic environments.

A new method enhances the reliability of neural network predictions.

PNCs merge neural networks and probabilistic circuits for better prediction and modeling.

DOUST uses test-time training to improve outlier detection without needing labeled data.

New methods help robots navigate challenges in dynamic environments effectively.