Real time COVID-19 facemask detection using deep learning

Facemask Risks during the COVID-19 Crisis

Introduction: With the increasing severity of the COVID-19 epidemic, wearing a mask was recommended. This recommendation seems to have created concern among the public. Wearing a mask generally reduces the risk of virus and therefore potentially saves lives. In healthy populations, wearing a mask does not appear to cause any harmful physiological changes, and the potentially life-saving benefit...

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...

Doubletalk Detection Using Real Time Recurrent Learning

In this paper we present a new system for doubletalk detection that uses multiple signal detectors/discriminators based on recurrent networks. The goal is to build a simple system that learns to combine information from different signal sources to make robust decisions even under changing noise conditions. In this paper we use three detectors two of these are frequency domain signal detectors, ...

Rapid Detection of COVID-19 by RT-LAMP PCR Technique and its Comparison with Real-Time RT-PCR Method

Rapid antigen and antibody, serological tests, and RT ‑ PCR-based molecular methods are widely used for the detection of microorganisms worldwide. Objectives: This study aimed by Isothermal nucleic acid amplification techniques to detect the covid-19. Methods: In this study, 200 samples of nasopharynx and oropharynx were collected from Jamaran Heart Hospital in Tehran. Covid -19 was exami...

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography