Detection and classification of groundnut leaf diseases using KNN classifier MP Vaishnnave, KS Devi, P Srinivasan, GAP Jothi 2019 IEEE International Conference on System, Computation, Automation and …, 2019 | 93 | 2019 |
A study on various methods used for video summarization and moving object detection for video surveillance applications A Senthil Murugan, K Suganya Devi, A Sivaranjani, P Srinivasan Multimedia Tools and Applications 77 (18), 23273-23290, 2018 | 67 | 2018 |
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases NVRR Goluguri, KS Devi, P Srinivasan Neural Computing and Applications 33 (11), 5869-5884, 2021 | 42 | 2021 |
H2K–A robust and optimum approach for detection and classification of groundnut leaf diseases KS Devi, P Srinivasan, S Bandhopadhyay Computers and Electronics in Agriculture 178, 105749, 2020 | 33 | 2020 |
Automatic method for classification of groundnut diseases using deep convolutional neural network MP Vaishnnave, K Suganya Devi, P Ganeshkumar Soft Computing 24 (21), 16347-16360, 2020 | 31 | 2020 |
A machine learning approach for detecting and tracking road boundary lanes SK Satti, KS Devi, P Dhar, P Srinivasan ICT Express 7 (1), 99-103, 2021 | 27 | 2021 |
Object motion detection in video frames using background frame matching K SuganyaDevi, N Malmurugan, M Manikandan Int. J. Comput. Trends Technol 4, 1928-1931, 2013 | 23 | 2013 |
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey NVRR Goluguri, K Suganya Devi, N Vadaparthi Artificial Intelligence Review 54, 359-396, 2021 | 21 | 2021 |
Health informatics: a computational perspective in healthcare R Patgiri, A Biswas, P Roy Springer, 2021 | 20 | 2021 |
Efficient Foreground Extraction Based on Optical Flow and SMED for Road traffic analysis SR Suganya Devi. K., N.Malmurugan International Journal of Cyber-security and Digital Forensics 1 (3), 177-182, 2012 | 20* | 2012 |
Deep feed forward neural network–based screening system for diabetic retinopathy severity classification using the lion optimization algorithm HK Vasireddi, SD K, RR GNV Graefe's Archive for Clinical and Experimental Ophthalmology 260 (4), 1245-1263, 2022 | 16 | 2022 |
Energy efficient data gathering using spatio-temporal compressive sensing for WSNs K Sekar, K Suganya Devi, P Srinivasan Wireless Personal Communications 117 (2), 1279-1295, 2021 | 16 | 2021 |
OFGM-SMED: An efficient and robust foreground object detection in compressed video sequences K Suganyadevi, N Malmurugan Engineering Applications of Artificial Intelligence 28, 210-217, 2014 | 16 | 2014 |
Compressed tensor completion: A robust technique for fast and efficient data reconstruction in wireless sensor networks K Sekar, KS Devi, P Srinivasan IEEE Sensors Journal 22 (11), 10794-10807, 2022 | 14 | 2022 |
Machine Learning, Image Processing, Network Security and Data Sciences: Second International Conference, MIND 2020, Silchar, India, July 30-31, 2020, Proceedings, Part II A Bhattacharjee, SK Borgohain, B Soni, G Verma, XZ Gao Springer Nature, 2020 | 13 | 2020 |
A survey on cloud computing and hybrid cloud M Vaishnnave, KS Devi, P Srinivasan Int. J. Appl. Eng. Res 14 (2), 429-434, 2019 | 13 | 2019 |
A study on deep learning models for satellite imagery MP Vaishnnave, KS Devi, P Srinivasan International Journal of Applied Engineering Research 14 (4), 881-887, 2019 | 13 | 2019 |
Unified approach for detecting traffic signs and potholes on Indian roads SK Satti, P Maddula, NVV Ravipati Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 10 | 2022 |
Diagnosis evaluation and interpretation of qualitative abnormalities in peripheral blood smear images—a review K Suganya Devi, G Arutperumjothi, P Srinivasan Health informatics: a computational perspective in healthcare, 341-365, 2021 | 10 | 2021 |
Secure cloud‐based e‐learning system with access control and group key mechanism S Kanimozhi, A Kannan, K Suganya Devi, K Selvamani Concurrency and computation: Practice and experience 31 (12), e4841, 2019 | 10 | 2019 |