Computer Science and Engineering

Dr. Chandrika.J Profile

Faculty ID : 1-482761703

Department : Computer Science and Engineering

Email : jc@mcehassan.ac.in

Mobile : 9448871082

Qualification : B.E., M.Tech., Ph.D

Specialization : Computer Science and Engineering

Additional Responsibility :

Research Interest : Data Mining, Big Data Analytics, Machine Learning

Google Scholar Link : Click here

IRINS link : Click here
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S.No Year Type Publication Details
1. 2022-2023

Sunitha R, Chandrika J, Rajashree S, Pavithra H C, Rohini T Fuzzy Inference with Enhanced Convolutional Neural Network Based Classification Framework for Predicting Heart Attack Using Sensor Data, IIETA RIA , Vol. 37, No. 1, February 2023 

Reference Link
2. 2022-2023

Sunitha R, Chandrika.J ,Machine Learning Techniques to Combat Security Threats in Social Internet of Things, International Journal of Research in Engineering, Science and Management ISSN: 2581-5792, Volume 6, Issue 3, March 2023

3. 2022-2023

Sunitha R, Chandrika.J Fuzzy and Neural Network based Pattern Mining and Classification Model for Medical Data Analysis, International Journal of Advanced Computer Science and Applications (IJACSA) - Volume 14 No 1 , Jan 2023

4. 2022-2023

Sunitha R, Chandrika.J ,Secure Optimal Routing Framework for Wireless Sensor Network to Improve Quality of Services, Journal Of Electronics Information Technology Science And Management JEITSM, ISSN NO : 0258-7982,Scopus And Ugc Care Group 2 Journal volume
13, issue 1, pp 136-151, Jan 2023

5. 2022-2023

Thirthe Gowda M T, Chandrika J Cluster based segmentation for tobacco plant detection & classification, Bulletin of Electrical Engineering & Informatics(BEEI), Vol 12, ISSN 2089-3191, Scopus indexed Q3, Feb 202

6. 2021-2022

Thirthe Gowda M T, Chandrika J, Hybrid texture and gradient modeling for dynamic background subtraction identification system using 5G data service, Computer Assisted Methods in Engineering and Science, Scopus indexed, Print ISSN: 2299-3649,June 2022

7. 2021-2022

Sunitha R, Chandrika.J, “Malevolent node detection bsed on network parametersmining in wireless sensor networks”, International journal of digital crime & forensics(IJDCF), VOL 13, issue 6, July 2021