News

IEEE2d
Implementing Machine Learning Techniques for Hair Health Prediction in Follicle Futures - IEEE Xplore
This study explores the effectiveness of various machine learning algorithms in forecasting hair health using a comprehensive dataset incorporating individual traits and lifestyle elements. Logistic ...
Novel model optimization algorithm improves robustness of near-infrared spectroscopy models
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
IEEE18d
Real-Time Classification of Vehicles Using Machine Learning Algorithm on the Extensive Dataset - IEEE Xplore
Vehicle classification (VC) is a prominent research domain within image processing and machine learning (ML) for identifying vehicle volumes and traffic rule violations. In developed countries, nearly ...
C&EN23d
Supervised Learning Algorithm Reveals the Mechanistic Role of Extracellular Polymeric Substances in Biofouling of an Anaerobic Electrochemical Membrane ... - ACS Publications
Extracellular polymeric substances (EPS)-related biofouling in anaerobic electrochemical membrane bioreactors (AnEMBR) is commonly mitigated, yet the underlying mechanisms require further elucidation.
Phys.org27d
Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts
More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...
GitHub27d
GitHub - atomistic-machine-learning/schnetpack: SchNetPack - Deep Neural Networks for Atomistic Systems
SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials. It ...