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Dr Santhi P

vidwan id: 292029
Female

Professor, Department of Computer Science Engineering
M Kumarasamy College of Engineering, Karur

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 8
Books 0
Proceedings 0

Publications

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Scopus

Citations 147
h-index 3

CrossRef

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Citations 57
h-index 2
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Bio

Machine Learning, Image Processing

Personal Details

  • Female
  • Professor , M Kumarasamy College of Engineering, Karur
  • Thalavapalayam
PhD
Anna University 2016
Professor Jun 2016 – Present
M Kumarasamy College of Engineering, Karur | Department of Computer Science Engineering
Professor Jun 2016 – Present
M Kumarasamy College of Engineering, Karur | Department of Computer Science Engineering

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Co-Authors (4)

J C Miraclin

Mr J C Miraclin Joyce Pamila

Government College of Technology Coimbatore

T M

Dr T M NITHYA

K. Ramakrishnan College of Engineering

Senthamil Selvi

Dr Senthamil Selvi Ramar

Saranathan College of Engineering, Tiruchirappalli

Scholarly Work

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Scholarly Publications

Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks

Open Access
Article

Ensemble classifier based big data classification with hybrid optimal feature selection

Open Access
Article
Authors: J.C. Miraclin Joyce Pamila ., R. Senthamil Selvi ., P. Santhi ., T.M. Nithya .,

Study of Regional Language Translator Using Natural Language Processing

Open Access
Conference Paper
Authors: Santhi P.;Aarthi J.;Bhavatharini S.;Guna Nandhini N.;Snegha R.

Prediction of quality in production using optimized Hyper-parameter tuning based deep learning model

Open Access
Article
Authors: Rajendra Kannammal G.;Sivamalar P.;Santhi P.;Vetriselvi T.;Kalpana V.;Nithya T.M.

Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features

Open Access
Article
Authors: Rajesh Kanna P.;Santhi P.
39 82

Smart India agricultural information reterival system

Open Access
Article

Prediction of diabetes using neural networks

Open Access
Article

Classification of magnetic resonance images using eight directions gray level co-occurrence matrix (8dglcm) based feature extraction

Open Access
Article