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

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 ...

Abstract: Experimental characterization of magnetic components has grown to be increasingly important to understand and model their behaviors in high-frequency PWM converters. The BH loop measurement ...

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 .

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

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 ...

CFFI supports only free threaded Python 14. From its v2.0.0 change log: Added support for free threaded CPython (3.14t+ only). [...] CPython 3.13t is not currently supported due to differences in sync ...

Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon Musk believes there is a 10% chance that XAI Grok 5 can achieve AGI. Musk ...

Abstract: Effective machine learning for natural hazard prediction and monitoring depends on timely access to high quality, event-specific datasets and models capable of adapting to evolving ...