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A high-throughput architecture for anomaly detection in streaming data using machine learning algorithms

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  1. 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...

    S. Koteeswaran, R. Suganya, Chellammal Surianarayanan, E. A. Neeba… in Soft Computing (2023)

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  2. 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...

    Chellammal Surianarayanan, Pethuru Raj Chelliah in New Generation Computing (2021)

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