Latest Articles for Machine Learning

BMach algorithm improves accuracy in predicting electronic properties of materials.

This study leverages machine learning for improved particle analysis.

Research focuses on plant traits using advanced imaging and machine learning techniques.

Examining cultural differences in depression prediction models and fairness challenges.

Researchers analyze yeast genetics to predict traits using machine learning.

A tool to streamline the analysis of large 3D biological images.

Using machine learning to predict clinical variables for better disease diagnosis.

A new method improves object detection in autonomous vehicles using vision and language.

Exploring the role of Transformers and LLMs in enhancing network security.

A machine learning approach to estimate tree canopy heights efficiently.

Researchers find key nodes to effectively monitor complex networks.

A method to forecast FPGA requirements for neural networks before building them.

New descriptors enhance predictions of chemical compounds in drug discovery and materials science.

This article discusses using machine learning to improve image quality in CT scans.

New methods in fish larvae counting improve accuracy and efficiency in aquaculture.

New methods improve calculations of tunneling splittings in complex molecules.

Machine learning offers new insights into systemic sclerosis, improving diagnosis and treatment.

Research highlights differences in brain activity during distraction and concentration.

A framework guides the selection of effective pre-trained models for vulnerability detection.

NeuroSynth generates synthetic MRI data to improve brain health studies.

A look into hand gesture recognition and its growing importance in communication.

This research tackles challenges in product classification for international trade using machine learning.

This study explores physics-informed machine learning for improving gold flotation process predictions.

A look at how optical reservoir computing improves stock price forecasting.

This article discusses using machine learning to speed up DFT calculations in materials science.

This article discusses the role of machine learning in understanding animal behavior.

A new tool that connects user feedback with software development tasks.

Federated learning enhances cancer research by sharing insights while protecting patient data.

Evaluating methods for linking table data to knowledge graphs.

This article reviews how researchers apply data to study dark energy and cosmological models.

Examining the growth and challenges of prediction models in patient care.

Discover how Huge Ensembles improve accuracy in weather predictions.

Automating line monitoring enhances safety and efficiency in critical care settings.

A-BDD enhances ML training for self-driving cars in poor weather.

A new model predicts enzyme pH levels using sequences and large datasets.

Research combines machine learning and self-assembly for better nanoparticle creation.

Learn how data-driven methods enhance decision-making through conditional expectations.

A new tool for efficient structural optimization using automatic differentiation.

Explore how machine learning improves weather forecasting and climate understanding.

This article discusses how Federated Learning can aid homelessness support agencies.