Search Results - "Nayaki, K. Sankara"

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  1. 1

    An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine by Aswini, J., Yamini, B., Jatothu, Rajaram, Nayaki, K. Sankara, Nalini, M.

    Published in Concurrency and computation (01-05-2022)
    “…Cloud computing is the on‐demand access to computer resources such as applications, servers, data storage, development tools, networking capabilities, and…”
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    Journal Article
  2. 2

    Cloud based Acute Lymphoblastic Leukemia Detection Using Deep Convolutional Neural Networks by Nayaki K., Sankara, Denny, Jincy, Rubeena, M.M., Denny, Jees K

    “…Acute lymphoblastic leukemia is a condition that occurs in the bone marrow. Most cases of Acute Lymphoblastic Leukemia (ALL) develop from cells that would turn…”
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    Conference Proceeding
  3. 3

    A deformable 15D approach for localization and recognition of road traffic monocular images by Sankara, N. K., Brughuram, T. M.

    “…This paper presents a strategic approach for localizing and recognizing the vehicles amidst the traffic scenes generated by monocular camera or video. Previous…”
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    Conference Proceeding
  4. 4

    Alzheimer's detection at early stage using local measures on MRI: A comparative study on local measures by Nayaki, K. Sankara, Varghese, Abraham

    “…Alzheimer's disease (AD) is a Dementia among older people which causes neurological degradation. Mild Cognitive Impairment [1] (MCI) is a condition which could…”
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    Conference Proceeding
  5. 5

    Data analytics in medical data : A review by Simi, M. S., Nayaki, K. Sankara

    “…The knowledge discovery in database (KDD) is alarmed by the advancement of strategies and systems for making the utilization of data. A standout amongst the…”
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    Conference Proceeding
  6. 6

    Exploring female infertility using predictive analytic by Simi, M. S., Nayaki, K. Sankara, Parameswaran, Murali, Sivadasan, Sabine

    “…With the availability of medical data for large number of patients in hospitals, early detection of diseases has been made easier in the recent past…”
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    Conference Proceeding