This project uses machine learning techniques to predict MBA admission outcomes (Admit, Waitlist, or Deny) based on various academic and demographic factors. By analyzing historical admission data, we ...

This project aims to enhance the accuracy and effectiveness of hypertension drug prescriptions using machine learning. By leveraging a dataset of patient information, the project develops a decision ...

Definition: Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches.

AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...

Accurate travel demand forecasting is crucial for urban planners and transportation authorities. Traditional statistical ...

Professors Alexandra Amon, Jason Klusowski, Lue Pan and Maria Micaela Sviatschi are 2025 Sloan Research Fellows.

"Farmers play a crucial role in this effort as guardians of the land and trees, making it important to understand their decision-making regarding tree growing." The researchers interviewed 620 ...

Officials have met with PennDOT, and are in contact with Middletown Township, where officials are planning to change the ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Several people from the Lake Orion community asked the school board to reconsider discontinuing programs at the Pine Tree Center. The district provides multiple programs at the Pine Tree Center, a ...

Kishore Asthana Explaining spiritual advancement, in Thus Spake Zarathustra, Nietzsche says, “Three metamorphoses of the spirit I designate to you: how the spirit becomes a camel, the camel a ...