Abstract: The rise of smart cities has leveraged the power of Internet of Things devices to transform urban services. A key element of this transformation is the widespread deployment of IoT devices ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Machine learning to identify the factors that may determine the age of onset of Huntington’s disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Abstract: Graph Machine Learning (GML) with Graph Databases (GDBs) has gained significant relevance in recent years, due to its ability to handle complex interconnected data and apply ML techniques ...
1 College of Design and Architecture, Zhejiang University of Technology, Hangzhou, China 2 College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China ...
The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...
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