We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

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 .

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

A pair of 2-1 divisional rivals will face off on Thursday Night Football as the Arizona Cardinals host the Seattle Seahawks. Both Kyler Murray and Sam Darnold figure to factor into NFL prop bets, as ...

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