KEC Faculty Profile

Number of Consultancy Projects                               40

Number of Funded Programmes Organized        6

Publications in International Journals 

M.Pyingkodi,R.Thangarajan,”Meta-Analysis in Autism Gene Expression Dataset with Biclustering Methods using Random Cuckoo Search Algorithm”, Asian Journal of Research in Social Sciences and Humanities 7 (2), 186-194,2017. 

K Thenmozhi, N Karthikeyani Visalakshi, S Shanthi, M Pyingkodi, “Distributed ICSA Clustering Approach for Large Scale Protein Sequences and Cancer Diagnosis”,Asian Pacific journal of cancer prevention: APJCP 19 (11), 3105, 2018. (Scopus).

K Thenmozhi, M Pyingkodi, S Kumaravel ,”Tapered Assessment on Distributed Clustering vital in Protein Sequence Environment”, International Journal of Recent Trends in Engineering & Research Volume 04, Issue 07; July-2018         

M.Pyingkodi,R.Thangarajan,”Informative Gene Selection for Cancer Classification with Microarray Data Using a Metaheuristic Framework”,Asian Pacific Journal of Cancer Prevention 19 (2), 561-564,2018 (Scopus).

Pyingkodi, M., Shanthi, S., Muthukumaran, M., Nanthini, K., Thenmozhi, K., "Hybrid bee colony and weighted ranking firefly optimization for cancer detection from gene regulatory sequences",International Journal of Scientific and Technology Research, 2020  (Scopus).

K Nanthini, T Kavitha, D Sivabalaselvamani, M Pyingkodi, "Epilepsy Seizure Detection and Prediction Based on DeviceHive", International  Journal of Science Technology and Engineering, 2019

Ms.M.Pyingkodi, Dr.S.Shanthi, K Thenmozhi, Dr.T.M.Saravanan, D.Hemalatha, Y.Sudarshan, 2020, ‘Skin Cancer Classification Towards Melanoma Detection With Deep Learning Techniques’, International Journal of Advanced Science and Technology, vol. 29, No. 9, pp. 3911-3918.(Scopus).

Ms.M.Pyingkodi, Dr.S.Shanthi, Dr.T.M.Saravanan, K Thenmozhi, K. Nanthini, D.Hemalatha, M. Muthukumaran, M. Dhivya, 2020, ‘Performance Study Of Classification Algorithms Using The Microarray Breast Cancer Dataset’, International Journal of Future Generation Communication and Networking, vol. 13, No. 2, pp. 1238-1245. (WoS).

Dr.T.M.Saravanan, Ms.M.Pyingodi, K.Selvambal, N.Prakash, N.Jeevitha, M.Karthik (2020) “Aspect Based Sentiment Analysis on Bistro Reviews using Enhanced BiLSTM Scheme”, International Journal of Advanced Science and Technology, 29(05), pp. 11612-11616. (Scopus).

M.Pyingkodi, S.Shanthi, "Composition of Feature Relevancy Based Biomarker Gene Selection in Gene Expression Dataset", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019  (Scopus)

S.Shanthi, M.Pyingkodi, "Air Quality Index Prediction using Machine Learning Algorithms", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019 (Scopus)

Buvaneswari.V.B, S.Shanthi, M.Pyingkodi, "Big Data Analytics for Images in Public Cloud using MapReduce on Local Clusters", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019 (Scopus)

S Shanthi, K Nirmaladevi, M Pyingkodi, P Selvapandiyan, “Face Recognition For Automated Attendance System Using a Algorithm”,Journal of Critical Reviews 7 (4),2021, 942-949

Suresh Palarimath, Roopa Devi Palarimath, Wilfred Blessing N.R, Sujatha .T, Pyingkodi .M, and  Bernard H. Ugalde, “An Integrated Artificial Neural Network Prototype Enabling Real-Time Object Detection Using Raspberry Pi”, Turkish Journal of Physiotherapy and Rehabilitation; 32(3),2021,ISSN 2651-4451 | e-ISSN 2651-446X

Book Chapters Published

Pyingkodi Maran,  Shanthi S., Thenmozhi K,  Hemalatha D., Nanthini K.,  "A Novel Deep Learning Method for Identification of Cancer Genes From Gene Expression Dataset" ,Machine Learning and Deep Learning in Real-Time Applications, IGI Global, 2020, pp. 129-144. https://www.igi-global.com/chapter/a-novel-deep-learning-method-for-identification-of-cancer-genes-from-gene-expression-dataset/257317 

Thenmozhi K, Pyingkodi M, Ramesh K, "Hybrid Machine Learning Models for Distributed Biological Data in Multi-Cloud Environment" EAI/Springer Innovations in Communication and Computing -  Operationalizing Multi-Cloud  Environments, Springer Publications, ISBN 978-3-030-74402-1, https://doi.org/10.1007/978-3-030-74402-1

J. Adeline Sneha, J. Aran Glenn, N. R. Wilfred Blessing, S. BrillySangeetha, Christo Ananth, M. Pyingkodi and T. Sujatha, ”Convolution Neural Network Based Detection Of Hookworm For Health Care”, Innovations in Life Science Research, ISBN: 978-81-951323-6-2, First Edition; Volume – 1; 2021, Chapter – 1, Page: 1 - 8

 Programmes Organized (Workshop/Conference/Other)