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

This year has been the culmination of everything SZA’s been working towards. Now she just has to process it. GQ’s Frazier Tharpe visited her at the studio where she’s been holed up to talk about her ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Journal Editorial Report: The week's best and worst from Jason Riley, Allysia Finley and Kyle Peterson. Scale drives efficiency—for almost a century, industrial planners have relied on this simple ...

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 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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 ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Shrewsbury Town midfielder Tommy McDermott says the players "all thought they had won" their League Two game at Oldham before an injury-time equaliser dashed their hopes in another "massive learning ...

In just five races Oscar Piastri’s championship lead of 34 points has vanished as he now trails teammate Lando Norris by one point. Momentum has swung to Norris and outside contender Max Verstappen in ...

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