In present scenario, weather and temperature prediction is considered as one of the most important aspects on daily life basis. Accurate prediction of weather and temperature at the very right time is ...

Using regression analysis for seasonality can offer several benefits for your business, such as understanding the effects of seasonality on performance and identifying seasonal factors that are ...

Collection of live temperature data from temperature sensor (LM35) to cloud using BOLT IOT module. The collected data is used to make live predictions for future temperature data. Ploynomial ...

Temperature-Forecasting-using-Regression-Model. Bias Correction of Numerical Prediction Model Temperature Forecast. This repository contains the code and resources for a project focused on bias ...

Discover how regression analysis can reveal cause-and-effect relationships in data for better decision-making and predictions.

By David W. Neumann, Balaji Rajagopalan, and Edith A. Zagona. Published in the Journal of Environmental Engineering, 129(7), July 1, 2003.. Abstract: An empirical model is developed to predict daily ...

This study suggests that IR temperature data could provide comparatively accurate core body temperature prediction for rapid mass screening of potential COVID cases using the linear regression model.

Shrestha, N. and Urroz, G. (2015) Identification of Influential Sea Surface Temperature Locations and Predicting Streamflow for Six Months Using Bayesian Machine Learning Regression. Journal of Water ...

Nobody knows when and where; the things might go worse naturally. Thus, pre scenario prediction is the key to mark all the key strategies. In this work, temperature prediction is achieved by using ...