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S Srinivasan
S Srinivasan
Professor of Instrumentation, MIT Campus, Anna University
Verified email at mitindia.edu
Title
Cited by
Cited by
Year
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
602016
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
512019
Separation of overlapping bacilli in microscopic digital TB images
E Priya, S Srinivasan
Biocybernetics and Biomedical Engineering 35 (2), 87-99, 2015
342015
Ash fouling monitoring and soot-blow optimization for reheater in thermal power plant
SA Kumari, S Srinivasan
Applied Thermal Engineering 149, 62-72, 2019
332019
Extended Kalman filter for fouling detection in thermal power plant reheater
AKSS Subramanian
Control Engineering Practice 72, 91-99, 2018
30*2018
Segmentation of Polycystic Ovary Ultrasound Images
PKHS Srinivasan
2nd International Conference on Current Trends in Engineering and Technology, 2014
18*2014
Retrospective non-uniform illumination correction techniques in images of tuberculosis
E Priya, S Srinivasan, S Ramakrishnan
Microscopy and Microanalysis 20 (5), 1382-1391, 2014
172014
Classification of Respiratory abnormalities using Adaptive Neuro Fuzzy Inference System
CMSSS A.Mythili
Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in …, 2012
17*2012
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
142007
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
132013
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
132007
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
122012
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
112015
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
92014
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
82015
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
72011
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
72006
NARX models for prediction of reheater fouling
SA Kumari, S Srinivasan
23rd International Conference on Automation and Computing (ICAC), 2017
52017
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
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