IEEE

A Hybrid Machine Learning Framework for Daily Dairy Demand Forecasting: Integrating SARIMAX and XGBoost for Seasonal Production Optimization

Abstract: Accurate demand forecasting is a critical requirement in the dairy industry, where fluctuations in consumption, seasonal effects, and product perishability create significant operational ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Men's Journal

National Weather Service Warns Travelers To ‘Use Caution’ on New Year’s Day

2026 will start on a messy note for some regions. Wintry weather to continue across the U.S. as 2026 begins, impacting holiday travel. NWS warns of hazardous road conditions in Ohio, Utah, Colorado, ...
IEEE

Weather Prediction Using Machine Learning: A Data-Driven Approach to Reliable Forecasting

Abstract: Weather prediction is essential across various domains, including agriculture, transportation, and disaster management, as it facilitates informed decision-making through reliable forecasts.