A team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...

Clustering is an unsupervised data analysis technique used for identifying homogeneous groups of objects based on the values of their attributes. To mitigate the aforementioned drawbacks, an improved ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

In the past years, data mining and machine learning techniques are getting used frequently to obtain predictions and to answer as many questions that may arise from the data. In this paper, customer ...

This makes it especially promising for high-stakes domains like autonomous driving, energy optimization, and intelligent scheduling—where safe, sample-efficient learning is essential. By combining ...