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Dr. Natarajan Kumaran
Assistant Professor Department: Computer Science Engineering Certificate Views : 771 Followers : 0| Name: | Dr. Natarajan Kumaran |
| Designation: | Assistant Professor |
| Department: | Computer Science Engineering |
| Research Area: | Networks, Video Analysis, ML ( Machine Learning), DL |
| Organization: | SCSVMV |
| Contact: | Contact Reviewer |
| About: | Published ,more than 17 papers in international journals few of the journals are added. two book chapters are published and book in press for publication. Having more than 20 years teaching experience. completed PhD from NIT Trichy. |
| Status: |
Journal
| Author: | 1. N Kumaran, U. Srinivasulu Reddy |
| Title: | Classification of human activity detection based on an intelligent regression model in video sequences |
| Publication Year: ISSN: Volume: Issue: |
2020 DOI: 10.1049/ipr2.12006 15 1 |
| Visit Paper: | Click here |
| More Details | Click here |
| Author: | 2. N Kumaran, A Vadivel and S Saravana Kumar |
| Title: | Recognition of human actions using CNN-GWO: a novel modeling of CNN for enhancement of classification performance |
| Publication Year: ISSN: Volume: Issue: |
2018 1380-7501 77 88 |
| Indexing: | SCOPUS, SCI-E, UGC-CARE, ABCD-Index, |
| Visit Paper: | Click here |
| More Details | Click here |
| Author: | N Kumaran, U Srinivasulu Reddy and S. Saravana Kumar |
| Title: | Multiple Action Recognition for Human Object with Motion Video Sequence using the Properties of HSV Color Space Applying with Region of Interest |
| Publication Year: ISSN: Volume: Issue: |
2019 2278-3075 8 6 |
| Visit Paper: | Click here |
| More Details | Click here |
| Author: | 1. N Kumaran, U. Srinivasulu Reddy |
| Title: | Object detection and tracking in crowd environment — A review |
| Publication Year: ISSN: Volume: Issue: |
2017 https://doi.org/10.1109/ICICI.2017.8365242 |
| Visit Paper: | Click here |
| More Details | Click here |
| Author: | N. Kumaran, P. Surya Sampath, P. Saran Satya Kumar |
| Title: | Food Predictive Anatomization using Time Series |
| Publication Year: ISSN: Volume: Issue: |
2020 2278-3075 9 9 |
| Visit Paper: | Click here |
| More Details | Click here |
