Latest Articles for Neural Network

A new method improves accuracy in depth estimation using light-field imaging.

Neural networks are enhancing control systems for managing complex reaction-diffusion processes.

Techniques to improve graph inference and uncertainty estimation in various fields.

Exploring the integration of quantum computing in recognizing hand-drawn sketches.

A new dataset accelerates molecular property predictions for drug design.

New methods improve accuracy of regional sea-level change forecasts using machine learning.

New methods improve wireless signal prediction and localization using neural networks.

Deep learning techniques show promise in segmenting the pancreas from CT scans.

This article examines how configural processing aids in object recognition.

Learn how PINNs integrate physics with neural networks to solve complex equations.

A machine learning method predicts fluid flow stability for better designs and processes.

New model PIMPNet integrates brain scans and age for Alzheimer's diagnosis.

A new method improves character animation using data-driven motion transfer.

A new framework enhances transport methods between varying dimensions and types of spaces.

This article discusses using neural networks to improve fiber optic communication.

New methods in weak lensing leverage neural networks to enhance data analysis.

Exploring side-channel attacks on neural networks using OpenVINO and their implications.

Learn how sensitivity information boosts neural network training in engineering.

A new approach enhances 3D modeling accuracy from multi-view images.

Research at LHC investigates flavons and their link to top quarks.

PDEformer-1 simplifies solving one-dimensional partial differential equations using machine learning techniques.

Exploring AI's role in predicting protein structures through copolymer sequences.

New techniques help compress vast atmospheric datasets for better analysis and predictions.

New techniques improve medical imaging using Electrical Impedance Tomography.

Explore how pattern separation helps us recall distinct memories.

New methods improve metal detection while ensuring privacy and safety.

A new method converts UDFs to meshes using deep learning techniques.

Neural networks enhance design processes for better sound control in acoustics.

A new approach to improve neural networks using graded vector spaces.

A new method improves image recovery by reducing noise in phase retrieval tasks.

This article examines the effectiveness of narrow neural networks and their implications.

Advancements in deep learning offer solutions to complex mathematical problems in multiple fields.

This study reveals how feedback connections affect neural network performance.

Research on neural networks reveals behaviors of heavy-tailed distributions.

Machines are learning to interpret images and language, improving human-robot interaction.

LIP-CAR method reduces contrast agent use while enhancing image quality.

This article discusses a method for introducing backdoors into neural networks during training.

Neural networks enhance two-sample testing for complex data analysis.

Research reveals how machine learning can enhance understanding of schizophrenia's genetic factors.

A study shows HRV can improve early sepsis diagnosis.