Abstract: Decision tree-based random forest algorithms can efficiently process multi-source heterogeneous data, accurately predict complex hydrological processes, and optimize power plant operation ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Three large pythons were spotted in Forest Park, Queens earlier this week. So far, only one of them has been caught. Animal rescuer Meagan Licari recovered the 4-foot ball python. "We named him Kevin.

Forests play a major role pulling planet-warming carbon dioxide out of the atmosphere. As the world heats up, some forests are becoming emitters in their own right. By Sachi Kitajima Mulkey and Harry ...

Background: Neovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...

Supervised Machine Learning using SciKit and other tools to do PCA, SVM, random forests, etc. for facial recognition and predictive decision making.