| Deep learning approach to detect malaria from microscopic images BRK Vijayalakshmi, A Multimedia Tools and Applications 79, 15297–15317, 2020 | 88 | 2020 |
| Tuberculosis (TB) detection system using deep neural networks RDJ Samuel, BR Kanna Neural Computing and Applications 31 (5), 1533–1545, 2019 | 36 | 2019 |
| Root mean square filter for noisy images based on hyper graph model K Kannan, BR Kanna, C Aravindan Image and Vision Computing 28 (9), 1329-1338, 2010 | 32 | 2010 |
| Cybernetic microbial detection system using transfer learning KB Dinesh Jackson Samuel, Rajesh Multimedia Tools and Applications 79 (7-8), 5225-5242, 2020 | 15 | 2020 |
| Virtual Vision Architecture for VIP in Ubiquitous Computing S Sivakumar, R Rajalakshmi, KB Prakash, BR Kanna, C Karthikeyan Technological Trends in Improved Mobility of the Visually Impaired, 145-179, 2019 | 7 | 2019 |
| Anti-Forensics Contrast Enhancement Detection (AFCED) Technique in Images Based on Laplace Derivative Histogram BRK Bharathiraja, S Mobile Networks and Applications, 1-7, 2019 | 4 | 2019 |
| Image-based area estimation of any connected region using y-convex region decomposition BR Kanna, C Aravindan, K Kannan AEU-International Journal of Electronics and communications 66 (2), 172-183, 2012 | 4 | 2012 |
| An efficient line clipping algorithm for circular windows using vector calculus and parallelization P Kumar, F Patel, R Kanna International Journal of Computer Graphics & Animation, 2018 | 3 | 2018 |
| ColorFingers: improved multi-touch color picker AJG Ebbinason, BR Kanna SIGGRAPH Asia 2014 Technical Briefs, 1-4, 2014 | 3 | 2014 |
| Development of yConvex hypergraph model for contour-based image analysis BR Kanna, C Aravindan, K Kannan 2012 International Conference on Computer Communication and Informatics, 1-5, 2012 | 3 | 2012 |
| A contour based scheme for representing arbitrary shapes in digital images BR Kanna, C Aravindan, K Kannan Proceedings of the International Conference & Workshop on Emerging Trends in …, 2011 | 3 | 2011 |
| A programmable microscopic stage: Design and development R Dinesh Jackson Samuel, B Rajesh Kanna Microscopy Research and Technique, 2019 | 2 | 2019 |
| Machine learning technique for analyzing the behavior of fish in an aquarium R Bhaskaran, RK Baskaran, C Vijayalakshmi International Conference on Modeling, Machine Learning and Astronomy, 55-65, 2019 | 1 | 2019 |
| Model to estimate the salt and pepper noise density level on gray-scale digital image BR Kanna, MS Bhat, C Vijayalakshmi, ANJ Raj EAI Endorsed Transactions on Energy Web and Information Technologies 18 (18 …, 2018 | 1* | 2018 |
| P-HGRMS: A parallel hypergraph based root mean square algorithm for image denoising T Agarwal, S Jha, BR Kanna arXiv preprint arXiv:1306.5390, 2013 | 1 | 2013 |
| Touch and Voice‐Assisted Multilingual Communication Prototype for ICU Patients Specific to COVID’19 BR Kanna, C Vijayalakshmi Smart Healthcare System Design: Security and Privacy Aspects, 71-85, 2022 | | 2022 |
| A Deep Learning Framework for Image Authentication: An Automatic Source Camera Identification Deep-Net S Bharathiraja, B Rajesh Kanna, M Hariharan Arabian Journal for Science and Engineering, 1-13, 2022 | | 2022 |
| A Fuzzy Strategy to Eliminate Uncertainty in Grading Positive Tuberculosis RDJ Samuel, BR Kanna International Journal of Computational Intelligence and Applications 21 (01 …, 2022 | | 2022 |
| Extrinsic parameter's adjustment and potential implications in Plasmodium falciparum malaria diagnosis. VC Vijayalakshmi. A, B. Rajesh Kanna B Microscopy Research and Technique 85 (2), 685–696, 2022 | | 2022 |
| Parallel FPFH SLAM for Aerial Vehicles SM AV, BR Kanna 2021 IEEE Conference on Norbert Wiener in the 21st Century (21CW), 1-4, 2021 | | 2021 |
Aravindan ChandraboseProfessor and Head of Information Technology, SSN College of Engineering, IndiaVerified email at ssn.edu.in
