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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...

    Chellammal Surianarayanan… in International Journal of Information Techn… (2024)

  2. 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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  3. 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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    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...

    Chellammal Surianarayanan… in Service Oriented Computing and Applications (2015)