University of Geneva

Defending against adversarial attacks by randomized diversification

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...
News-Medical.Net

Machine learning model may provide an earning warning of preeclampsia in late gestation

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Devdiscourse

AI failures start with bad data

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Edge Computing for Real-Time IoT Data: Architectures and Technology Innovations

This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security ...
Kennesaw State University

Supercomputing research at KSU speeds up the path to scientific discovery

From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data quickly. At Kennesaw State University, Associate Professor of Information ...
BOOM on MSN

What edge AI means for the future of connected infrastructure and intelligent automation

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Impact of Data Preprocessing on Machine Learning Classification Metrics

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...