Search Results - Pushparathi, S.

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  1. 1
    A author topic model based unsupervised algorithm for learning topics from large text collections

    A author topic model based unsupervised algorithm for learning topics from large text collections by Shalinie, S. M., Sundarakantham, K., Pushparathi, S.

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  2. 2
    An attention-based neural network for lung cancer classification and gradient in MRI

    An attention-based neural network for lung cancer classification and gradient in MRI by Ramasamy, Poornima, Alabdulkreem, Eatedal, Alruwais, Nuha, Gladis Pushparathi, V. P.

    Published in Automatika
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  3. 3
    Data sampling approach using heuristic Learning Vector Quantization (LVQ) classifier for software defect prediction

    Data sampling approach using heuristic Learning Vector Quantization (LVQ) classifier for software defect prediction by Amanullah, M., Thanga Ramya, S., Sudha, M., Gladis Pushparathi, V.P., Haldorai, Anandakumar, Pant, Bhaskar

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  4. 4
    Traffic sign detection and recognition using RGSM and a novel feature extraction method

    Traffic sign detection and recognition using RGSM and a novel feature extraction method by Sudha, M., Galdis pushparathi, Dr.V.P.

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  5. 5
    Prostate Cancer Classification and Interpretation With Multiparametric Magnetic Resonance Imaging and Gleason Grade Score Using DarkNet53 Model

    Prostate Cancer Classification and Interpretation With Multiparametric Magnetic Resonance Imaging and Gleason Grade Score Using DarkNet53 Model by Gladis Pushparathi, Vasantha Pragasam, Justin Xavier, Dhas, Chitra, Pandian, Kannan, Gopalraj

    Published in The Prostate
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  6. 6
    Editorial Expression of Concern: Traffic sign detection and recognition using RGSM and a novel feature extraction method

    Editorial Expression of Concern: Traffic sign detection and recognition using RGSM and a novel feature extraction method by Sudha, M., pushparathi, V. P. Galdis

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  7. 7
    Theory, Method And Applications Of Deep Learning Impacts On Biomedical Application

    Theory, Method And Applications Of Deep Learning Impacts On Biomedical Application by Prakash, A, Anand, M Vijay, Sudha, M, Pushparathi, V P Gladis

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  8. 8
    A Novel Deep Learning Framework For Rainfall Prediction In Weather Forecasting

    A Novel Deep Learning Framework For Rainfall Prediction In Weather Forecasting by Soundararajan, S, Chinnuswamy, Visuwasam, L Maria Michael, Pushparathi, V P Gladis, Sudha, M

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