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 ...

This is my final project for the ‘Intelligent Algorithmic Trading Assignment’ for the Andi Nugroho study unit. The final results for this project is best viewed using nbviewer, click on the following ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...

Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment technique ...

ABSTRACT: For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

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Abstract: The dynamic traffic assignment problem is a problem of finding the time-varying traffic volume on each directional section of the traffic network on the premise of knowing the topological ...