Therefore, this study aimed to develop a predictive analytics model that leveraged students’ learning activities as a significant factor to predict future trends in university carbon emissions.

Predictive analytics involves the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques to analyze current and historical data, identify patterns, and make predictions about future ...

Citation: Danish M, Liaquat T, Ashraf F and Zaman S (2024) Predictive modeling and regression analysis of diverse sulfonamide compounds employed in cancer therapy.

PaCS-Q is an open-source Python toolkit that simplifies QM/MM MD and MD simulations, making complex pathway sampling accessible and user-friendly. Seamlessly integrated with the AMBER MD suite, it ...

Article citations More>> Paramita, L.D., Asmara, R.Y. and Ramadhan, R.R. (2024) Artificial Intelligence in Digital Marketing Automation: Enhancing Personalization, Predictive Analytics, and Ethical ...

If you like our Framework, don't hesitate to ⭐ star this repository ⭐. This helps us to make the Framework more better and scalable to different models and methods 🤗. A modular and efficient ...