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 ...
BMJ

Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
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 ...
Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
Digital Trends

Perplexity AI turns into tutor with new language learning feature

What’s happened? Perplexity AI just dropped a new language learning feature built right into its platform. In a post shared on social media, the company announced a tool that helps users learn by ...
IEEE

Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...