Book Chapters/ Conference publications

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “Iterative Adaptive Switching Median Filter”, proc. of IEEE ICIEA 2006, Singapore. pp: 1-6 DOI: 10.1109/ICIEA.2006.257367

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “An efficient approach to Salt & Pepper Impulse Noise Reduction using Iterative Impulse Detection and Correction Phase”, proc. of IEEE ADCOM 2006, NITK, Surathkal, pp: 576-579 DOI:  10.1109/ADCOM.2006.4289957

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “Adaptive Rank-ordered Switching Median Filter for Salt & Pepper Impulse Noise Reduction”, proc. of IEEE INDICON 2006, New Delhi. DOI:  10.1109/INDCON.2006.302825

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “Selective Switching Median Filter for the Removal of Salt & Pepper Impulse Noise”, proc. of IEEE WOCN 2006, Bangalore, India, April 2006. DOI:10.1109/WOCN.2006.1666676

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “An Efficient Extension to Chain Codes for External Image Representation”, proc. of IEEE WOCN 2006, Bangalore, India, April 2006. DOI: 10.1109/WOCN.2006.1666674

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “Salt & Pepper Impulse Noise Removal using Adaptive Switching Median Filter”, proc. of IEEE Oceans’06, Asia Pacific, Singapore, pp : 1-8 DOI : 10.1109/OCEANSAP.2006.4393943

Nallaperumal, K., Krishnaveni, K., Varghese, J., Saudia, et.al., Fuzzy optimal Thresholded multiscale morphological segmentation of digital images. IFIP IEEE International Conference on Wireless and Optical Communications Networks 2006 (pp. 5-pp).

Nallaperumal, K., Krishnaveni, K., Varghese, J., Saudia, S., et.al., An efficient multiscale morphological watershed segmentation using gradient and marker extraction. Annual IEEE India Conference September, 2006, (pp. 1-6).

Krishnan Nallaperumal, Justin Varghese, S. Saudia et al. “An efficient Switching Median Filter for Salt & Pepper Impulse Noise Reduction”, proc. of IEEE ICDIM2006, Bangalore, pp : 161-166  DOI : 10.1109/ICDIM.2007.369347.

Justin Varghese, S. Saudia et al. “A Novel Adaptive Approach to the Restoration of Digital Images Corrupted by Salt & Pepper Impulse Noise” proc. of IEEE ICCIMA2008, MEPCO, Sivakasi, Vol: 3, pp: 447-452.  DOI :  10.1109/ICCIMA.2007.118

S. Saudia, Justin Varghese et. al. “Salt & Pepper Impulse Detection and Median based Regularization using Adaptive Median Filter “, IEEE Region 10 (Asia and Pacific) TENCON 2008, Hyderabad, November 2008. DOI: 10.1109/TENCON.2008.4766413

S. Saudia, Justin Varghese et. al. “An Adaptive Clustering based Non-Linear Filter for the Restoration of Impulse Corrupted Digital Images “, IEEE ICVGIP 2008, Bhuvaneshwar, December 2008. DOI: 10.1109/ICVGIP.2008.43

S. Saudia, Justin Varghese et. al. “Clustering based Impulse Detection and Rank-ordered Regularization for the Restoration of Impulse corrupted Digital Images “, IEEE ADCOM 2008, Chennai, December 2008. DOI: 10.1109/ADCOM.2008.4760478

S. Saudia, Justin Varghese et. al. “Quad-tree based Impulse Detection and Rank-ordered Regularization for the Restoration of Impulse corrupted Digital Images “, IEEE ICCCN 2008, Karur, December 2008.  DOI: 10.1109/ICCCNET.2008.4787723

S. Saudia, Justin Varghese et. al. “An Efficient Quad-tree based Impulse Detection and Rank-ordered Regularization for the Restoration of Highly Impulse corrupted Images” IEEE IACC 2009, Thapar, Panjab, India, DOI: 10.1109/IADCC.2009.4809038

Justin Varghese, Mohamed Ghouse, Mohamed Samiulla Khan, Omer Bin Hussain, S. Saudia, and Ajmal Khan. "A new direction based adaptive filter for the restoration of impulse corrupted digital images." IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2012, pp. 254-258.

Justin Varghese, S Saudia, et,al., “An effective direction based filter for the restoration of images corrupted by random valued impulse noise”, IEEE - World Congress on Information and Communication Technologies (WICT), 2012 Oct. 30 2012-Nov. 2 2012, 942 – 947, 978-1-4673-4806-5

Lotus, R., Justin Varghese, and S. Saudia. "On the pre-requisites for reconstruction of questioned a pictorial hand-torn digital documents." IEEE Conference on Information & Communication Technologies (ICT), 2013.

Justin Varghese, Saudia Subash, et,al., “An efficient DCT-SVD based algorithm for digital image watermarking”, IEEE - International Carnahan Conference on Security Technology (ICCST) 2014, 1-6, Rome, 978-1-4799-3530-7

Sweetlin EJ, Saudia S. Exploratory data analysis on breast cancer dataset about survivability and recurrence. In2021 3rd IEEE International Conference on Signal Processing and Communication (ICPSC) 2021 May 13 (pp. 304-308).

Sweetlin EJ, Saudia S. A Review of Machine Learning Algorithms on Different Breast Cancer Datasets. In International Conference on Big Data, Machine Learning, and Applications 2021 Dec 19 (pp. 659-673). Singapore: Springer Nature Singapore.

Subha J, Saudia S. Robust Flood Prediction Approaches Using Exponential Smoothing and ARIMA Models. In International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology 2022 Nov 19 (pp. 457-470). Singapore: Springer Nature Singapore.

Subha J, Saudia S. An Exploratory Data Analysis on SDMR Dataset to Identify Flood-Prone Months in the Regional Meteorological Subdivisions. In Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2022 Dec 3 (pp. 595-617). Singapore: Springer Nature Singapore.

Kani DC, Saudia S. Analysis on the Performance of Machine Learning Models for Forest Fire Prediction. In 5th IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT) 2023 Jan 23 (pp. 1-5).

Sweetlin EJ, Saudia S. Ensemble learning for the survivability prediction of breast cancer patients using METABRIC and SEER datasets. In2023 4th IEEE International Conference on Signal Processing and Communication (ICSPC) 2023 Mar 23 (pp. 16-21).

A.Krishnaveni, Saudia S. Quantitative Assessment on the Applications of Viola Jones based Face Recognition for Security and Monitoring Systems. 11th International Conference on Contemporary Engineering and Technology, Samarkand State University, Uzbekistan, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai-27, Tamil Nadu, 1st and 2nd May 2023.

A.Krishnaveni, S.Saudia. Machine Learning Models for Deception Detection: A Quantitative Performance Evaluation. 13th International Conference on Recent Challenges in Engineering and Technology (ICRCET-2024), St. Joseph's College of Engineering, Chennai, 2024/9/27, ISBN 978-93-92105-98-2, pp.45.