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Article
A high-throughput architecture for anomaly detection in streaming data using machine learning algorithms
Detection of anomaly in streaming data requires continuous analysis of the stream in real time. This process turns out to be difficult due to varied volume and velocity of data streams. The purpose of this wor...
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Article
A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu
COVID-19 has created many complications in today’s world. It has negatively impacted the lives of many people and emphasized the need for a better health system everywhere. COVID-19 is a life-threatening disea...
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Article
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment
The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity t...
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Article
An approach for selecting best available services through a new method of decomposing QoS constraints
Quality of Service (QoS) plays as a discriminating factor for selecting appropriate services that meet the given user’s non-functional requirements during service composition. There is a compelling need to sel...