Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans

Research on identification methods for the Coronavirus Disease 2019 (COVID-19) has increased in the last years and the need for automated detection methods has surged as well. Computed Tomography scan images have demonstrated to contain useful and sufficient information to detect COVID-19 by using machine learning and computational intelligence techniques. However, in order to expand their adoption in medical clinics, COVID-19 detection approaches need to drive the experts in the overall comp...

Effect of a 9-week resistance heavy training with and without protein supplementation in untrained subjects

Development of ML algorithm to improve in situ measurement of the thermal properties of a building

This study presents a method to enhance the accuracy of the procedure for in-situ measurement of the wall thermal transmittance and the overall performance of the building envelope based on IoT infrared sensors. The sensor used is the Comfort Eye, consisting of an IR node to acquire thermographic maps and a desktop node for environmental parameters. This will be achieved by applying a Machine Learning (ML) algorithm to detect and identify the various elements present within the wall, includin...

Anomaly Detection of Medical IoT Traffic Using Machine Learning

Although Internet traffic detection and categorization have been extensively researched over the last decades, it remains a hot issue in the Internet of Things (IoT) context, mainly when traffic is generated in medical structures. Theoretically, it is possible to apply classical methods for IoT traffic categorization and to detect traffic addressed to intelligent devices present in hospital rooms. The problem is always to get a proper medical IoT traffic dataset. In this work, we have created...