Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it is found that hybrid stacked models give ...
Guwahati: A 16-year-old Assam schoolgirl, Huma Abia Kanta, a Grade XII student of Royal Global School, Guwahati, has ...
Of all the posited answers, experts say the Dark Forest hypothesis seems less likely to be correct. It’s possible that ...
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 ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Abstract: In order to improve the efficiency and accuracy of accounting fraud identification, this paper proposes an accounting fraud identification model based on random forest (RF) and light ...
The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...
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 ...
Researchers from the University of South Florida and partner institutes developed the DynBAS-AWRF Tree, an AI-powered, energy ...
For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of ...
Background and aim: Accelerated aging poses significant physical, psychological, and social health challenge to Chinese. Successful aging (SA) serves as a proactive approach to population aging, ...
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