Academic/school project involving practical exercises with Python and Julia for ordinary differential equations, created with the aim of facilitating and streamlining the teaching of ODEs. Code ...

Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...

Conclusions: Generative AI use for health information is currently driven by early adopters—those who find it useful, easy to integrate, enjoyable, and have the necessary skills and infrastructure to ...

Abstract: Sustainability in transportation technologies is growing in all parts of the world through electric and micro-mobility sharing services. As such, there is a need to explore the factors that ...

Introduction: PREVENT is a new prediction tool used for cardiovascular risk management. The purpose of this study was to investigate whether the PREVENT risk score is more accurate than the ...

Predictive maintenance combines data science and IoT to prevent equipment failures before they occur. In this talk, I’ll demonstrate how machine learning models can analyse sensor data from industrial ...

At the midway point of the 2025 college football season and with the official playoff rankings coming in the not-too-distant future, how the race is shaping up is as fascinating as ever. But what ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Long-term opioid use and prescription opioid use disorder in patients with chronic pain are strongly linked to the duration of pain, psychological distress. Long-term opioid use and prescription ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...