Artificial Intelligence in Science Learning within the Framework of Situated Learning Theory: A Qualitative Investigation of Teachers’ Perspectives This study explores how artificial intelligence (AI) ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
This article introduces the field of bioinformatics and its importance as a cornerstone of biological research, as well as ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...
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What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...
The goal of this course is to introduce students to classical approaches of statistical learning. The information age has resulted in masses of multivariate data in many fields: finance, marketing, ...
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