Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Assam Schoolgirl Huma Abia Kanta Presents AI-ML Research at Global Conference, Becomes One Of India’s Youngest Presenters

Guwahati: A 16-year-old Assam schoolgirl, Huma Abia Kanta, a Grade XII student of Royal Global School, Guwahati, has ...
Devdiscourse

Explainable AI model achieves breakthrough accuracy in ovarian cancer detection

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Healio

Machine model may predict MS recurrence risk after DMT discontinuation

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...