Yaşar University

Prediction of pediatric lower urinary tract dysfunction using uroflowmetry data and machine learning with explainable AI techniques

<title>Abstract</title> Purpose To develop and evaluate a machine learning based approach for the interpretation of uroflowmetry in pediatric lower urinary tract dysfunction, aiming to reduce interobserver variability and improve diagnostic consistency while maintaining clinical...

SmartMQ: Utility-Driven Semantic-Difference-Based Transmission Filtering for Message Queuing Telemetry Transport-Based Internet of Things Systems

Preprint. This is the authors' own version and has not been peer reviewed. The proliferation of Internet of Things (IoT) devices generates large volumes of sensor data, much of it adding little information beyond prior transmissions. This paper presents SmartMQ, a semantic-aware...