Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food ...

AI can illuminate patterns, but humans still set the goals and values. Only humans can assess the true impact of a beneficial ...

To predict a hidden pattern, predictive analytics models have been used in a variety of fields. The model’s hyper-parameter must be adjusted to make it suitable for solving a variety of challenges.

The prediction of renewable energies production such as solar energy could improve their integration in the energy mix which is heavily penalised by their intermittent nature. Accurately predicting ...

Predictive analytics: This application, which involves forecasting future opportunities and risks, is the most widely used application of regression analysis in business.

Hossain, E. , Tahia, F. , Siemens, A. , Islam, M. , Rahman, Z. and Ahmad, I. (2025) Spatiotemporal Dynamics of Land Use ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

Hernandez, R. , Garcia, A. and Guerra, F. (2025) Factors Influencing Graduate Student Success on the Texas Principal Exam in a Predominately Hispanic University. Open Journal of Social Sciences, 13, ...

Predictive analytics is transforming security operations—giving leaders time to act, context to decide, and the foresight to ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...