| Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features S Arivazhagan, RN Shebiah, S Ananthi, SV Varthini Agricultural Engineering International: CIGR Journal 15 (1), 211-217, 2013 | 681 | 2013 |
| Fruit recognition using color and texture features S Arivazhagan, RN Shebiah, SS Nidhyanandhan, L Ganesan Journal of Emerging Trends in Computing and Information Sciences 1 (2), 90-94, 2010 | 340 | 2010 |
| External and Internal Defect Detection of Egg using Machine Vision RR S.Arivazhagan, R.Newlin Shebiah, Hariharan Sudharsan, R. Rajesh Kannan Journal of Emerging Trends in Computing and Information Sciences 4 (3), 257-262, 2013 | 53 | 2013 |
| Leaf species and disease classification using multiscale parallel deep CNN architecture NS Russel, A Selvaraj Neural Computing and Applications 34 (21), 19217-19237, 2022 | 41 | 2022 |
| Human action recognition from RGB-D data using complete local binary pattern S Arivazhagan, RN Shebiah, R Harini, S Swetha Cognitive Systems Research 58, 94-104, 2019 | 35 | 2019 |
| Skin Disease Classification by Extracting Independent Components DS Arivazhagan R. Newlin Shebiah, K. Divya, MP Subadevi 3 (10), 2012 | 25 | 2012 |
| Railway track derailment inspection system using segmentation based fractal texture analysis S Arivazhagan, RN Shebiah, JS Magdalene, G Sushmitha ICTACT Journal on Image and Video processing 6 (1), 1-10, 2015 | 24 | 2015 |
| Gender discrimination, age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network NS Russel, A Selvaraj IET Image Processing 15 (1), 239-251, 2021 | 20 | 2021 |
| Fusion of spatial and dynamic CNN streams for action recognition NS Russel, A Selvaraj Multimedia Systems 27 (5), 969-984, 2021 | 15 | 2021 |
| Early warning system from threat of wild animals using raspberry pi RN Shebiah, B Deeksha, S Aparna SSRG International Journal of Electronics and Communication Engineering, 132-136, 2017 | 13 | 2017 |
| Object recognition using wavelet based salient points S Arivazhagan, RN Shebiah The Open Signal Processing Journal 2 (1), 2009 | 13 | 2009 |
| Significance based ship detection from SAR imagery S Arivazhagan, WSL Jebarani, RN Shebiah, SV Ligi, PVH Kumar, ... 2019 1st International Conference on Innovations in Information and …, 2019 | 8 | 2019 |
| Versatile loitering detection based on non-verbal cues using dense trajectory descriptors NSR S Arivazhagan Multimedia Tools and Applications 78 (8), 10933-10963, 2019 | 6 | 2019 |
| Texture categorization using statistical and spectral features S Arivazhagan, SS Nidhyanandhan, RN Shebiah 2008 International Conference on Computing, Communication and Networking, 1-9, 2008 | 6 | 2008 |
| Bimodal recognition of affective states with the features inspired from human visual and auditory perception system A Selvaraj, NS Russel International Journal of Imaging Systems and Technology 29 (4), 584-598, 2019 | 5 | 2019 |
| Parallel deep learning architecture with customized and learnable filters for low-resolution face recognition F Ketab, NS Russel, A Selvaraj, SM Buhari The Visual Computer 39 (12), 6699-6710, 2023 | 4 | 2023 |
| Deep learning for accident avoidance in a hostile driving environment SS Nidhyananthan, RN Shebiah, BV Kumari, K Gopalakrishnan Cognitive Systems and Signal Processing in Image Processing, 337-357, 2022 | 4 | 2022 |
| Classification of human body parts using histogram of oriented gradients RN Shebiah, AA Sangari 2019 5th International Conference on Advanced Computing & Communication …, 2019 | 4 | 2019 |
| Using texture detection features, recoginizing unhealthy region of plant leaves and classification of plant leaf disease S Arivazhagan, RN Shebiah, S Ananthi, SV Varthini AgricEngInt: CIGR Journal 15 (1), 211-217, 2013 | 4 | 2013 |
| Classification of citrus and non-citrus fruits using texture features S Arivazhagan, RN Shebiah, SS Nidhyanandhan, L Ganesan 2010 Second International conference on Computing, Communication and …, 2010 | 4 | 2010 |
Arivazhagan SProfessor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi在 mepcoeng.ac.in 的电子邮件经过验证
