Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
pv magazine International

New framework promises unprecedented level of cybersecurity for SCADA systems

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...
Devdiscourse

How machine learning and IoT are building factories of future

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
IEEE

ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning

Abstract: Vertical federated learning (VFL) enables a paradigm for vertically partitioned data across clients to collaboratively train machine learning models. Feature selection (FS) plays a crucial ...
IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...
northpennnow

Machine Learning Development Company Selection Framework for 2026

As machine learning adoption accelerates across B2B industries, choosing the right development partner has become a critical strategic decision. By 2026, organizations increasingly rely on ML not only ...
CNET

If You've Ever Ruined Sweaters in the Wash, Whirlpool's New Machine Has a Fix

David lives in Brooklyn where he's spent more than a decade covering all things edible, including meal kit services, food subscriptions, kitchen tools and cooking tips. David earned his BA from ...