1.

Mahendran, T., Seetharaman, K. (2023). Feature Extraction and Classification Based on Pixel in Banana Fruit for Disease Detection Using Neural Networks, Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE Xplore, 1-7, DOI: 10.1109/ICAECT57570.2023.10117959.

2.

Suresh, G., Seetharaman, K. (2022). Automated Groundnut Leaf Disease Recognition Using Whale Optimization Algorithm with Deep Learning Model, International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE Xplore, 310-315, DOI: 10.1109/ICAISS55157.2022.10010713.

3.

V. Lakshmi and K. Seetharaman, (2022). Rice Classification and Quality Analysis using Deep Neural Network, 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET), 2022, pp. 307-314, IEEE Xlore, doi: 10.1109/ICIIET55458.2022.9967584.

4.

Satheesh Kumar, B., Seetharaman, K., Sathiyaprasad, B. (2022). Content-Based Video Retrieval Based on Security Using Enhanced Video Retrieval System with Region-Based Neural Network (EVRS-RNN) and K-Means Classification. In: Sanyal, G., Travieso-González, C.M., Awasthi, S., Pinto, C.M., Purushothama, B.R. (eds.) International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering, Vol. 837. Springer, Singapore. https://doi.org/10.1007/978-981-16-8546-0_33.

5.

A. Amutha, K. Seetharaman and A. Agarwal (2021). National Time Synchronization Augmenting Cybersecurity, R. P. Mahapatra et al. (eds.), Proceedings of 6th International Conference on Recent Trends in Computing, Lecture Notes in Networks and Systems, 177, https://doi.org/10.1007/978-981-33-4501-0_70.

6.

V.P.SubramanyamRallabandi and K. Seetharaman (2021). Classification of Dementia Subtypes: Magnetic Resonance Imaging Study, Lecture Notes in Electrical Engineering (LNEE) (ISSN: 1876-1100)(AcceptedScopus Indexed).

7.

B. Sathiyaprasad, K. Seetharaman and B. S. Kumar, (2020). Content based Video Retrieval using Improved Gray Level Co-Occurrence Matrix with Region-based Pre Convoluted Neural Network–RPCNN, 3rd International Conference on Intelligent Sustainable Systems (ICISS), December 3-5, 2020, pp. 558-563, IEEE Xplore, DOI: 10.1109/ICISS49785.2020. 9316081; (ISBN:978-1-7281-7090-9).

8.

B. Satheeshkumar, K. Seetharaman and B. Sathiyaprasad., A Novel Adaboost Regression Classifier (ABR) for Video Retrieval in Video Sequence, 3rd International Conference on Emerging Current Trends in Computing and Expert Technology (COMET), PP. 497-503, 2020.

9.

B. Sathiyaprasad, K. Seetharaman, B. Satheesh Kumar, (2020). Histogram-based Threshold Segmentation of Video Frames Using Otsu's Method, TEQIP-III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and Security, organized by the Department of Computer Science & Engineering at Pondicherry Engineering College, Puducherry, India, during 29 & 30 July, 2020.

10.

D. Nageswari, K. Seetharaman, (2020). A Distributive Approach for Classification and Identification of Peanut Pods Variety Using Convolutional Neural Networks, TEQIP-III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and Security, Organized by the Department of Computer Science & Engineering at Pondicherry Engineering College, Puducherry, India, during 29 & 30 July, 2020.

11.

Amutha. A, Bhardwaj, T., Pranaleethroat, Bharath, V., Sharma, N., Ashish, A., Anurag, G., Seetharaman, K. (2019). Conceptualisation of Cybered Secured Network Architecture for National Timing Ensemble to Strengthen Digital Governance, Organized by CSIR National Physical Laboratory and Metrology society of India on 22 February 2019 at 10th International Conference on "Advance in Metrology- 2019,National Physical Laboratory, New Delhi. Pp. 148 Conference Proceedings of MSI.

12.

Vasanthi, S. and Seetharaman. K., (2019). Face Recognition and Analysis: Literal Survey, International Conference on Electrical, Communication, Electronics, Instrumentation, and Computing, Organised by Sri ChandrasekharendraSaraswathiViswaMahavidyalaya, Kanchipuram, India, on 30th and 31st, January 2019.

13.

K. Seetharaman and B. Sathiyaprasad, Colour Image Retrieval Based on Mean Vector and Covariance Tests, Proceedings of International Conference on Intelligent Sustainable Systems (ICISS'17), SCAD Institute of Technology, Tamil Nadu, India, Dec. 07- 08, 2017, pp. 627-632 (Best Paper Awarded) (ISBN: 978-1-5386-1959-9).

14.

K. Seetharaman and D. Meena, Colour Image Retrieval Based on Structural Equation Model and Orthogonality, International Conference on Intelligent Sustainable Systems (ICISS'17), SCAD Institute of Technology, Tamil Nadu, India, December 07- 08, 2017, pp. 621-626(ISBN: 978-1-5386-1959-9).

15.

K. Seetharaman and W. T. Chembian, Statistical Distribution-BasedColor Image Retrival, International Conference on Graphics and Signal Processing (ICGSP2017),Nanyang Technological University, Singapore, from 24.06.2017 to 28.06.2017, 2017, ACM Digital Library2017, pp. 6-9 (ISBN: 978-1-4503-5239-0).

16.

K. Seetharaman and W. T. Chembian, Multi-spectral Satellite Color Image Retrieval Based on GMRFM and Back-propagation Algorithm with Artificial Neural Network, International Symposium on Electronics and Smart Devices (ISESD 2016) Organized by the IEEE Section, Bandung, Indonesia on November 29-30, 2016, Published in IEEE Xplore, 2016, pp. 278 - 282(ISBN: 978-1-5090-3841-1).

17.

Thillaikarasi, M., and K. Seetharaman Measuring The Effectiveness of Test Case Prioritization Techniques Based on Weight Factors, International Conference on Computer Science &Information Technology, Organised by AIRCC Bangalore, India, October, 2014, pp. 41-51, DOI : 10.5121/csit.2014.41005.

18.

R. Shekhar and K. Seetharaman, Color Image Retrieval Based on Non-parametric Statistical Tests of Hypothesis, International Conference on Data Mining Organized by AIRCC, Bangalore, India, September 13-14, 2014 (ISSN: 2231-5403).

19.

A. AnnamalaiGiri and K. Seetharaman, Color Image Retrieval Based on Full Range Autoregressive Model with Low-level Features, International Conference on Data Mining Organized by AIRCC, Bangalore, India September 13-14, 2014 (ISSN: 2231-5403).

20.

K. Seetharaman and S. Sathiamoorthy, An Improved Edge Direction Histogram and Edge Orientation Autocorrlogram for an Efficient Color Image Retrieval, Proceedings of the International Conference on Advanced Computing and Communication Systems Organized by Sri Eswar College of Engineering, Coinbatore, India, December 19 – 21, 2013 (ISBN: 978-93-81208-25-0; Published in IEEE Xplorer).

21.

K. Seetharaman and A. AnnamalaiGiri, Statistical Model Based Color Image Retrieval Using Low-level Features, Proceedings of the International Conference on Emerging Trends in Engineering and Technology, Organized by the International Institute of Engineers, Phuket, Thailand, December 07 & 08, 2013 (ISBN: 978-93-82242-52-9).

22.

K. Seetharaman and M. Jeyakarthic, Color Image Retrieval Based on Multivariate Parametric Tests and Measure of Divergence, Proceedings of the International Conference on Emerging Trends in Engineering and Technology, Organized by the International Institute of Engineers, Phukat, Thailand, December 07 & 08, 2013 (ISBN: 978-93-82242-52-9).

23.

K. Seetharaman and S. Sathiamoorthy, A Statistical Model Based Color Image Retrieval, Proceeding of the International Conference on Recent Trends on Computer Applications Organized by the Department of Computer Science, Hindustan College of Arts and Science, Chennai, India, September 27 & 28, 2013 (ISBN: 978-93-81208-25-0).

24.

E. Christopher Siddarth and K. Seetharaman, A Cluster Based QoS-Aware Service Discovery Architecture for Mobile Adhoc Networks, Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India, December 18 - 20, 2012.

25.

K. Seetharaman and M. Kamarasan, A Smart Color Image Retrieval Method Based on Multiresolution Features, Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research, Tamil Nadu College of Engineering, Coimbatore, India, December 18 - 20, 2012 (ISBN: 978-4673-1342-1, Published in IEEE Xplorer).

26.

K. Seetharaman and V. Rekha, A Statistical Scheme for Color Image Retrieval, Proceedings of the International Conference on Emerging Technological Trends in Advanced Engineering Research, Kerala, India, February 20 & 21, 2012 (ISBN : 978 – 93 -80624 – 62 – 4).

27.

K. Seetharaman, Texture Analysis Based on A Family of Stochasic Models, IEEE Proceedings of the International Conference on Signal and Image Processing Applications, Organized by IEEE Signal Processing Society, Malaysia Chapter, Malaysia, November 17 & 18, 2009, Malaysia, (ISBN: 978 – 1 - 4244 – 5562 – 1; Published in IEEEXplorer, 2010.

K. Seetharaman, Image Restoration Based on Bayesian Approach, 94th Indian Science Congress, January 3-7, 2007, Annamalai University, Annamalainagar, Tamilnadu, India.

30.

R. Krishnamoorthy and K. Seetharaman, Image Compression Based on A New Family of Autoregressive Models, Proceedings of International Conference on Robotics, Vision, Information and Signal Processing, ROVISP 2005, July 20-22, 2005, Malaysia, pp.626-630.

1.

A. Amutha, K. Seetharaman, A. Ashis, Envisaging National Legal Timing Strategy Towards Augmenting National Security and National Critical Infrastructures, National Cyber Safety and Security Standards, Organized by IIT, Madaras, Chennai, January, 2019.

2.

K. Seetharaman and V. Rekha, Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images, Proceedings of the National Conference on Web Science and Technology, October 2012, PSG College of Arts and Science, Coimbatore (ISBN: 938054310-7).

3.

R. Krishnamoorthy and K. Seetharaman, Edge Detection in 2-D Monochrome Images Using Autocorrelation, Proceedings of the National Conference on Recent Trends in Digital Image Processing, October 2004, pp. 58-61, Yadava College, Madurai.

4.

K. Seetharaman, R. Krishnamoorthy and R. Sivasamy, Color Textured Image Compression Using Time Series Model, Proceedings of the National Symposium on Statistical Methods and Applications, March, 2002, pp. 346-352, Annamalai University, Chidambaram.

5.

R. Krishnamoorthy and K. Seetharaman, Entropy Constrained Quantization of Transform Coefficients for Image Compression, Proceedings of the National Conference on Recent Trends in Advanced Computing, February, 2001, pp. 87-98, M.S. University, Tirunelveli.