Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...

Abstract: In this study, various algorithmic models such as Random Forest and ARIMA are combined, and the study aims to establish an accurate medal prediction model. Firstly, the data of past ...

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 model can ...

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

Abstract: This paper deals with Rapid Control Prototyping (RPC) of controller mounted on robotic lawn mower by using Model Based Development method. The controller optimizes the rotation speeds of two ...