Study of short term rain forecasting using machine learning based approach MS Balamurugan, R Manojkumar Wireless networks 27 (8), 5429-5434, 2021 | 38 | 2021 |
Detecting facial emotions using normalized minimal feature vectors and semi-supervised twin support vector machines classifier MP Kumar, MK Rajagopal Applied Intelligence 49, 4150-4174, 2019 | 23 | 2019 |
IoT based smart agriculture and plant disease prediction MSB Murugan, MK Rajagopal, D Roy Journal of Physics: Conference Series 2115 (1), 012017, 2021 | 15 | 2021 |
Real-time particle filtering with heuristics for 3D motion capture by monocular vision DAG Jáuregui, P Horain, MK Rajagopal, SSK Karri 2010 IEEE International Workshop on Multimedia Signal Processing, 139-144, 2010 | 14 | 2010 |
Residual attention network for deep face recognition using micro-expression image analysis G Chinnappa, MK Rajagopal Journal of Ambient Intelligence and Humanized Computing, 1-14, 2021 | 9 | 2021 |
Study of hand gesture recognition and classification K Srinivas, MK Rajagopal Asian Journal of Pharmaceutical and Clinical Research, 25-30, 2017 | 8 | 2017 |
Human activity recognition using deep learning approaches and single frame cnn and convolutional lstm S Mathew, A Subramanian, B MS, MK Rajagopal arXiv preprint arXiv:2304.14499, 2023 | 6 | 2023 |
Hypersocial Museum: addressing the social interaction challenge with museum scenarios and attention-based approaches M Mancas, D Glowinski, P Brunet, F Cavallero, C Machy, PJ Maes, ... QPSR of the numediart research program 2 (3), 91-96, 2009 | 6 | 2009 |
Artificial Intelligence based drone for early disease detection and precision pesticide management in cashew farming MK Rajagopal, BM MS arXiv preprint arXiv:2303.08556, 2023 | 5 | 2023 |
Big data analytics and artificial intelligence aspects for privacy and security concerns for demand response modelling in smart grid: A futuristic approach SS Reka, T Dragicevic, P Venugopal, V Ravi, MK Rajagopal Heliyon 10 (15), 2024 | 4 | 2024 |
Detecting happiness in human face using unsupervised twin-support vector machines MP Kumar, MK Rajagopal International Journal of Intelligent Systems and Applications 10 (8), 85, 2018 | 4 | 2018 |
Cashew dataset generation using augmentation and ralsgan and a transfer learning based tinyml approach towards disease detection V Jayaprakash, MK Rajagopal arXiv preprint arXiv:2304.08766, 2023 | 3 | 2023 |
Design of disaster management based on Artificial Neural Network and Logistic Regression MR MS, Balamurugan Proceedings of the 2019 7th International Conference on Computer and …, 2019 | 3 | 2019 |
A steganography framework for easy secret sharing through images P Palanisamy, MK Rajagopal 2013 IEEE Second International Conference on Image Information Processing …, 2013 | 3 | 2013 |
Toward a model of computational attention based on expressive behavior: applications to cultural heritage scenarios D Glowinski, M Mancas, P Brunet, F Cavallero, C Machy, PJ Maes, ... on Multimodal Interfaces eNTERFACE’09, 71, 2009 | 3 | 2009 |
Facial emotion recognition system using entire feature vectors and supervised classifier MP Kumar, MK Rajagopal Deep Learning Applications and Intelligent Decision Making in Engineering …, 2021 | 2 | 2021 |
Internet of Things based Gateways: Applications and Challenges Balamurugan MS, Manojkumar R International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 2 | 2019 |
Detecting happiness in human face using minimal feature vectors MP Kumar, MK Rajagopal Computational Signal Processing and Analysis: Select Proceedings of ICNETS2 …, 2018 | 2 | 2018 |
Enhancing SLAM efficiency: a comparative analysis of B-spline surface mapping and grid-based approaches BR Kanna, SM AV, CS Hemalatha, MK Rajagopal Applied Intelligence 54 (21), 10802-10818, 2024 | 1 | 2024 |
Amity--A Hybrid Mental Health Application S Santhanam, B Ms, MK Rajagopal arXiv preprint arXiv:2305.11871, 2023 | 1 | 2023 |