Normal age-related decay of retinal nerve fiber layer thickness RS Parikh, SR Parikh, GC Sekhar, S Prabakaran, JG Babu, R Thomas Ophthalmology 114 (5), 921-926, 2007 | 348 | 2007 |
Diagnostic capability of optical coherence tomography (Stratus OCT 3) in early glaucoma RS Parikh, S Parikh, GC Sekhar, RS Kumar, S Prabakaran, JG Babu, ... Ophthalmology 114 (12), 2238-2243, 2007 | 156 | 2007 |
Survey of analysis of crime detection techniques using data mining and machine learning S Prabakaran, S Mitra Journal of Physics: Conference Series 1000, 012046, 2018 | 107 | 2018 |
Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing S Krishnaveni, S Sivamohan, SS Sridhar, S Prabakaran Cluster Computing 24 (3), 1761-1779, 2021 | 100 | 2021 |
Retinal nerve fibre layer imaging compared with histological measurements in a human eye EZ Blumenthal, RS Parikh, J Pe'er, M Naik, E Kaliner, MJ Cohen, ... Eye 23 (1), 171-175, 2009 | 77 | 2009 |
A novel hybrid segmentation method with particle swarm optimization and fuzzy c-mean based on partitioning the image for detecting lung cancer P Kavitha, S Prabakaran Preprints, 2019 | 72 | 2019 |
Automatic detection of non-proliferative diabetic retinopathy in retinal fundus images using convolution neural network P Saranya, S Prabakaran Journal of Ambient Intelligence and Humanized Computing, 1-10, 2020 | 68 | 2020 |
Designing a feature vector for statistical texture analysis of brain tumor P Kavitha, S Prabakaran International Journal of Engineering and Advanced Technology (IJEAT) ISSN …, 2019 | 52 | 2019 |
Feature selection using Haar wavelet power spectrum P Subramani, R Sahu, S Verma Bmc Bioinformatics 7, 1-11, 2006 | 50 | 2006 |
Blood vessel segmentation in retinal fundus images for proliferative diabetic retinopathy screening using deep learning P Saranya, S Prabakaran, R Kumar, E Das The visual computer, 1-16, 2022 | 46 | 2022 |
Adaptive Bilateral Filter for Multi-Resolution in Brain Tumor Recognition P Kavitha, S Prabakaran International Journal of Innovative Technology and Exploring Engineering …, 0 | 43 | |
Rainfall prediction using modified linear regression S Prabakaran, PN Kumar, PSM Tarun ARPN Journal of Engineering and Applied Sciences 12 (12), 3715-3718, 2017 | 37 | 2017 |
Ensemble approach for network threat detection and classification on cloud computing S Krishnaveni, S Prabakaran Concurrency and Computation: Practice and Experience 33 (3), e5272, 2021 | 31 | 2021 |
Onboard disease prediction and rehabilitation monitoring on secure edge-cloud integrated privacy preserving healthcare system R Jayaram, S Prabakaran Egyptian Informatics Journal 22 (4), 401-410, 2021 | 22 | 2021 |
A survey on honeypot and honeynet systems for intrusion detection in cloud environment S Krishnaveni, S Prabakaran, S Sivamohan Journal of Computational and Theoretical Nanoscience 15 (9-10), 2949-2953, 2018 | 22 | 2018 |
Cluster optimization for improved web usage mining using ant nestmate approach A Alphy, S Prabakaran 2011 International Conference on Recent Trends in Information Technology …, 2011 | 21 | 2011 |
Economic dispatch using hybrid particle swarm optimization with prohibited operating zones and ramp rate limit constraints S Prabakaran, V Senthilkumar, G Baskar Journal of Electrical Engineering & Technology 10 (4), 1441-1452, 2015 | 14 | 2015 |
Diagnostic capability of scanning laser polarimetry with variable cornea compensator in Indian patients with early primary open-angle glaucoma RS Parikh, SR Parikh, RS Kumar, S Prabakaran, JG Babu, R Thomas Ophthalmology 115 (7), 1167-1172. e1, 2008 | 13 | 2008 |
A dynamic recommender system for improved web usage mining and CRM using swarm intelligence A Alphy, S Prabakaran The Scientific World Journal 2015, 2015 | 11 | 2015 |
Hybrid particle swarm optimization algorithm to solve profit based unit commitment problem with emission limitations in deregulated power market S Prabakaran, V SenthilKumar, S Kavaskar Int. J. Comput. Appl 167 (5), 37-49, 2017 | 7 | 2017 |