| Automated object and image level classification of TB images using support vector neural network classifier E Priya, S Srinivasan Biocybernetics and Biomedical Engineering 36 (4), 670-678, 2016 | 58 | 2016 |
| Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition AVSS Suresh Kumar Chelliah, Pabitha Parameswaran, Sengottuvelusamy Ramasamy Structural Health Monitoring 18 (4), 1253-1267, 2019 | 49 | 2019 |
| Separation of overlapping bacilli in microscopic digital TB images E Priya, S Srinivasan Biocybernetics and Biomedical Engineering 35 (2), 87-99, 2015 | 32 | 2015 |
| Ash fouling monitoring and soot-blow optimization for reheater in thermal power plant SA Kumari, S Srinivasan Applied Thermal Engineering 149, 62-72, 2019 | 31 | 2019 |
| Extended Kalman filter for fouling detection in thermal power plant reheater AKSS Subramanian Control Engineering Practice 72, 91-99, 2018 | 27* | 2018 |
| Classification of Respiratory abnormalities using Adaptive Neuro Fuzzy Inference System CMSSS A.Mythili Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in …, 2012 | 18* | 2012 |
| Retrospective non-uniform illumination correction techniques in images of tuberculosis E Priya, S Srinivasan, S Ramakrishnan Microscopy and Microanalysis 20 (5), 1382-1391, 2014 | 17 | 2014 |
| Segmentation of Polycystic Ovary Ultrasound Images PKHS Srinivasan 2nd International Conference on Current Trends in Engineering and Technology, 2014 | 17* | 2014 |
| Fault diagnosis in deaerator using neural networks S Srinivasan, P Kanagasabapathy, N Selvaganesan IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE) 6 (1), 62-67, 2007 | 14 | 2007 |
| Automated decision support system for tuberculosis digital images using evolutionary learning machines E Priya, S Srinivasan European Journal for Biomedical Informatics 9 (2), 3-8, 2013 | 13 | 2013 |
| Performance analysis of filters for speckle reduction in medical polycystic ovary ultrasound images HP Kumar, S Srinivasan 2012 Third International Conference on Computing, Communication and …, 2012 | 13 | 2012 |
| Fuzzy based fault detection and control for 6/4 switched reluctance motor N Selvaganesan, D Raja, S Srinivasan IRANIAN JOURNAL OF FUZZY SYSTEMS 4 (1), 37-51, 2007 | 13 | 2007 |
| Automated identification of tuberculosis objects in digital images using neural network and neuro fuzzy inference systems E Priya, S Srinivasan Journal of Medical Imaging and Health Informatics 5 (3), 506-512, 2015 | 11 | 2015 |
| Despeckling of polycystic ovary ultrasound images by improved total variation method HP Kumar, S Srinivasan International Journal of Engineering and Technology 6 (4), 1877-1884, 2014 | 9 | 2014 |
| Fast automatic segmentation of polycystic ovary in ultrasound images using improved Chan-Vase with Split-Bregman optimization HP Kumar, S Srinivasan Journal of Medical Imaging and Health Informatics 5 (1), 57-62, 2015 | 8 | 2015 |
| Modelling and analysis of normal and atherosclerotic blood vessel mechanics using 3D finite element models K Kamalanand, S Srinivasan ICTACT Journal on Soft Computing: Special Issue on Fuzzy in Industrial and …, 2011 | 7 | 2011 |
| Neural control and fault diagnosis for 6/4 switched reluctance motor N Selvaganesan, D Raja, S Srinivasan, S Renganathan 2006 IEEE International Conference on Industrial Technology, 1741-1746, 2006 | 7 | 2006 |
| NARX models for prediction of reheater fouling SA Kumari, S Srinivasan 23rd International Conference on Automation and Computing (ICAC), 2017 | 5 | 2017 |
| Clustering Based Analysis of Spirometric Data Using Principal Component Analysis and Self Organizing Map CMSSS A.Mythili Lecture Notes in Computer Science, Swarm, Evolutionary and Memetic Computing …, 2013 | 5* | 2013 |
| Despeckling of polycystic ovary ultrasound images Fuzzy filter HP S.Srinivasan Lecture Notes in Electrical Engineering 188, 443-450, 2013 | 5* | 2013 |
Dr E PriyaProfessor, Department of Computer Science and Engineering (AIML), Sri Sairam Engineering CollegeVerified email at sairam.edu.in
