Browsing by Subject "Anomaly detection"
Now showing items 21-26 of 26
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PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
( Elsevier , 2022 , Article)While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ... -
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
( Elsevier B.V. , 2020 , Article)The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ... -
Scalable Containerized Pipeline for Real-time Big Data Analytics
( IEEE Computer Society , 2022 , Conference Paper)With the widespread usage of IoT, processing data streams in real-time have become very important. The traditional data-stream processing systems are inefficient in processing big data for detecting anomalies, classifications, ... -
System log detection model based on conformal prediction
( MDPI AG , 2020 , Article)With the rapid development of the Internet of Things, the combination of the Internet of Things with machine learning, Hadoop and other fields are current development trends. Hadoop Distributed File System (HDFS) is one ... -
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
( Elsevier , 2022 , Article)Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ... -
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ...