Ministry of Education
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Dr Nivedhitha M

vidwan id: 562188
Female

Assistant Professor, Department of Networking and Communications - KTR
S R M Institute of Science & Technology, Chennai

Orchid Icon 0000-0003-4661-2881 Google Scholar Icon 57208084325 Researcher Icon ITT-7915-2023 Google Scholar Icon N7aS-rUAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 12
Books 0
Proceedings 0

Publications

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Scopus

Citations 290
h-index 7

CrossRef

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Citations 9
h-index 2
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Professional Recognition

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Community & Membership

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Bio

Artificial Intelligence, Deep Learning, Machine Learning, Bioinformatics, Gene Expression Analysis

Personal Details

  • Female
  • Assistant Professor , S R M Institute of Science & Technology, Chennai
  • Department of Networking and Communications - KTR, SRM Institute of Science and Technology
PhD
Other Institute 2023
Assistant Professor Sep 2023 – Present
S R M Institute of Science & Technology, Chennai | Department of Networking and Communications - KTR

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Co-Authors (6)

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Scholarly Work

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Scholarly Publications

Alzheimer's Disease Classification via Pre-trained Convolutional Neural Network Variants Utilizing Multi-level Thresholding based on Kapur's Entropy

Open Access
Conference Paper
Year: 2024.
Authors: Mahendran N.;Durai Raj Vincent P.M.
DOI 10.1109/NMITCON62075.2024.10698892

Pre-trained Convolutional Neural Networks and Otsu's Multi-level Thresholding based Alzheimer's Classification

Open Access
Conference Paper
Year: 2024.
Authors: Mahendran N.;Durai Raj Vincent P.M.;Samiayya D.;Rajinikanth V.
DOI 10.1109/ACCAI61061.2024.10601780

Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data

Open Access
Article
Computational and Structural Biotechnology Journal. Year: 2023. Volume: 21 , Pages: 1651-1660 .
Authors: Mahendran N.;Vincent P M D.R.
DOI 10.1016/j.csbj.2023.02.021
9

A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease

Open Access
Article
Computers in Biology and Medicine. Year: 2022. Volume: 141 .
Authors: Mahendran N.;P M D.R.V.
DOI 10.1016/j.compbiomed.2021.105056
69

Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times

Open Access
Article
Computational Intelligence and Neuroscience. Year: 2021. Volume: 2021 .
Authors: Vincent P.M.D.R.;Mahendran N.;Nebhen J.;Deepa N.;Srinivasan K.;Hu Y.C.
DOI 10.1155/2021/9950332
4 5

Improving the Classification of Alzheimer’s Disease Using Hybrid Gene Selection Pipeline and Deep Learning

Open Access
Article
Frontiers in Genetics. Year: 2021. Volume: 12 .
Authors: Mahendran N.;Vincent P.M.D.R.;Srinivasan K.;Chang C.Y.
DOI 10.3389/fgene.2021.784814
36

Realizing an integrated multistage support vector machine model for augmented recognition of unipolar depression

Open Access
Article
Year: 2020. Volume: 9 , Issue: 4 .
Authors: Srinivasan K.;Mahendran N.;Vincent D.R.;Chang C.Y.;Syed-Abdul S.
DOI 10.3390/electronics9040647
17

Realizing a Stacking Generalization Model to Improve the Prediction Accuracy of Major Depressive Disorder in Adults

Open Access
Article
IEEE Access. Year: 2020. Volume: 8 , Pages: 49509-49522 .
Authors: Mahendran N.;Durai Raj Vincent P.M.;Srinivasan K.;Sharma V.;Jayakody D.K.
DOI 10.1109/ACCESS.2020.2977887
33