Search Results - "Sairamya, N.J."

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  1. 1

    Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN by Sairamya, N.J., Subathra, M.S.P., Thomas George, S.

    Published in Expert systems with applications (15-04-2022)
    “…•Novel RLNDip technique for automatic identification of schizophrenia using EEG signals is proposed.•A fusion approach of DWT with RLNDiP technique is…”
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    Journal Article
  2. 2

    Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform by George, S. Thomas, Subathra, M.S.P., Sairamya, N.J., Susmitha, L., Joel Premkumar, M.

    Published in Biocybernetics and biomedical engineering (01-04-2020)
    “…Epilepsy is a widely spread neurological disorder caused due to the abnormal excessive neural activity which can be diagnosed by inspecting the…”
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    Journal Article
  3. 3

    A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method by Sairamya, N.J., Subathra, M.S.P., Suviseshamuthu, Easter S., Thomas George, S.

    Published in Biomedical signal processing and control (01-01-2021)
    “…•QBP technique and WPD based QBP approach are proposed for classification of focal and non-focal EEG signals.•Proposed method outperforms the WPD based…”
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    Journal Article
  4. 4

    EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network by Sairamya, NJ, Subathra, MSP, Thomas, George S

    Published in Knowledge-based systems (05-08-2022)
    “…Diagnosis of epileptic seizure types is vital for the neurologists to comprehend the cortical connectivity of the brain, and to initiate the apt treatment for…”
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    Journal Article
  5. 5

    Classification of normal. focal, and generalized EEG signals using EMD and ANN by Ruth, Vinutha C., Prasanna, J., Thomas, George S., Sairamya, N.J., Subathra, M.S.P.

    “…Epileptic seizure detection is performed by employing a clinical tool called Electroencephalography (EEG). Seizure detection by visual diagnosis is time…”
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    Conference Proceeding
  6. 6

    Detection and Classification of Diseases of Banana Plant Using Local Binary Pattern and Support Vector Machine by Aruraj, Akshaya, Alex, Ashish, Subathra, M.S.P, Sairamya, N.J, George, S. Thomas, Ewards, S.E. Vinodh

    “…Banana plantation is a commercial agricultural practice of huge significance especially in Asian and African countries. Banana production is affected by…”
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    Conference Proceeding
  7. 7

    Classification of Non-focal and Focal EEG signals using Local Binary Pattern by Prasanna, J., Sairamya, N.J., George, S. Thomas, Vinutha, C. Ruth, Subathra, M.S.P.

    “…Electroencephalogram is a clinical diagnoses tool that monitors the electrical impulses of the cerebrum. It is used to sense the glitch in the brain due to the…”
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    Conference Proceeding