Latest Articles for Machine Learning Applications

Improving accuracy in location tracking using advanced methods for faulty elements in RIS.

A study reveals how machine learning enhances protein measurement in breast cancer tissues.

This study improves PSQ for better cross-language information retrieval efficiency and effectiveness.

This study enhances fluid simulations using a generative adversarial network within multigrid methods.

Grappa enhances molecular predictions with machine learning techniques for better efficiency.

This study focuses on how initial setups affect turbulent mixing in fluids.

New methods improve control of turbulent separation bubbles for better vehicle efficiency.

New techniques improve safety and efficiency in monitoring infrastructure.

A new method enhances solutions for complex MIP challenges.

A novel approach enhances black-and-white videos with automatic colorization.

Researchers investigate four top quark events to uncover potential new physics.

Exploring the role of machine learning in improving quantum communication systems.

Researchers apply machine learning to study charm mesons in particle physics.

Research delves into dark matter detection using advanced machine learning techniques.

New model improves cell cycle analysis with 3D imaging techniques.

Researchers assess aspirin forms' stability using computer modeling and machine learning.

Research sheds light on how fractures form in brittle materials at a microscopic level.

Using machine learning to forecast lateral spreading risks from earthquakes.

Dynamic Line Rating optimizes power line capacity using local weather data.

A new method predicts FSO link issues using RF signals for seamless satellite communication.

A new approach enhances the generation of molecules for drug response prediction.

Exploring the impact of UAVs and IRS on wireless communication advancements.

A new framework enhances train fault detection using advanced deep learning techniques.

Learn about face anti-spoofing systems and their importance in digital security.

Introducing a dataset to enhance Earth observation efforts using diverse satellite data.

New methods enhance fNIRS analysis using synthetic data and machine learning.

A new dataset enhances image quality evaluation in microscopy.

Introducing a fast and efficient system for retrieving CAD parts using graph neural networks.

A study uses machine learning to find more white dwarfs with heavy metals.

A review of machine learning methods for predicting traffic accidents and improving road safety.

Improving efficiency in linear programming with machine learning techniques.

Study enhances lane-changing strategies for self-driving cars in mixed traffic.

Graph Neural Networks enhance histopathological image analysis, improving disease diagnosis.

Research reveals astrocyte metabolism's role in brain function and health.

Research utilizes machine learning to assess walking difficulties in neurodegenerative ataxia patients.

New method improves MRI image quality by addressing motion issues.

A new method for locating users indoors with fixed reflection points.

A new method combines machine learning with traditional approaches to study materials efficiently.

This article discusses new approaches to improve predictions in chemical reactions using technology.

FL2-Net offers a fresh approach to evaluating embryos for successful pregnancies.