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 ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...

AI provides a more precise time of death post-mortem

Artificial intelligence can be used to provide a more precise time of death, which could be crucial in murder investigations. The method was developed by researchers at Linköping University and the ...
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 ...
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive Disorder Detection using Sensor Data

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...
IEEE

Optimization and Management of Data Center Networks: A Scoping Review on Key Themes, Challenges, and Artificial Intelligence and Machine Learning Approaches

Abstract: Data Center Networks (DCNs) play a critical role in enabling scalable, efficient, and reliable digital infrastructure. This scoping review presents recent advancements in optimization and ...