| Internet of Things: novel advances and envisioned applications DP Acharjya, MK Geetha, S Sanyal Springer, 2017 | 87 | 2017 |
| Deep learning approach for emotion recognition from human body movements with feedforward deep convolution neural networks R Santhoshkumar, MK Geetha Procedia Computer Science 152, 158-165, 2019 | 86 | 2019 |
| Automatic human emotion recognition in surveillance video J Arunnehru, M Kalaiselvi Geetha Intelligent techniques in signal processing for multimedia security, 321-342, 2017 | 68 | 2017 |
| Object Detection and Tracking Based on Trajectory in Broadcast Tennis Video MKG Archana, M Procedia Computer Science 58 (-), 225-232, 2015 | 53 | 2015 |
| Driver fatigue monitoring system based on eye state analysis A Punitha, MK Geetha, A Sivaprakash 2014 International Conference on Circuits, Power and Computing Technologies …, 2014 | 34 | 2014 |
| Motion intensity code for action recognition in video using PCA and SVM J Arunnehru, MK Geetha Mining Intelligence and Knowledge Exploration: First International …, 2013 | 30 | 2013 |
| HMM based automatic video classification using static and dynamic features MK Geetha, S Palanivel International Conference on Computational Intelligence and Multimedia …, 2007 | 26 | 2007 |
| Texture based emotion recognition from facial expressions using support vector machine A Punitha, MK Geetha International journal of computer applications 80 (5), 2013 | 25 | 2013 |
| HMM based real time facial expression recognition A Punitha, MK Geetha International Journal of Emerging Technology and Advanced Engineering 3 (1 …, 2013 | 22 | 2013 |
| A novel block intensity comparison code for video classification and retrieval MK Geetha, S Palanivel, V Ramalingam Expert Systems with Applications 36 (3), 6415-6420, 2009 | 22 | 2009 |
| Deep learning approach: emotion recognition from human body movements R Santhoshkumar, MK Geetha Journal of Mechanics of Continua and Mathematical Sciences (JMCMS) 14 (3 …, 2019 | 19 | 2019 |
| A survey on IOT based on renewable energy for efficient energy conservation using machine learning approaches RR Batcha, MK Geetha 2020 3rd International Conference on Emerging Technologies in Computer …, 2020 | 18 | 2020 |
| Vision-Based Human Emotion Recognition Using HOG-KLT Feature MKG R. Santhoshkumar First International Conference on Computing, Communications, and Cyber …, 2020 | 18 | 2020 |
| Occlusion and abandoned object detection for surveillance applications M Chitra, MK Geetha, L Menaka Int J Comput Appl Technol Res 2 (6), 708, 2013 | 17 | 2013 |
| Computer-aided fracture detection of x-ray images R Aishwariya, MK Geetha, M Archana IOSR Journal of computer Engineering, 2278-2661, 2013 | 16 | 2013 |
| Automatic activity recognition for video surveillance J Arunnehru, MK Geetha International Journal of Computer Applications 75 (9), 2013 | 16 | 2013 |
| Video classification and shot detection for video retrieval applications MK Geetha, S Palanivel International Journal of Computational Intelligence Systems 2 (1), 39-50, 2009 | 16 | 2009 |
| SVM–KNN based Emotion Recognition of Human in Video using HOG Feature and KLT Tracking Algorithm R Santhoshkumar, MK Geetha, J Arunnehru International Journal of Pure and Applied Mathematics 117 (15), 621-634, 2017 | 15 | 2017 |
| Emotion recognition system for autism children using non-verbal communication R Santhoshkumar, M Kalaiselvi Geetha Int. J. Innov. Technol. Explor. Eng 8, 159-165, 2019 | 13 | 2019 |
| Automatic tumor classification of brain mri images V Vani, MK Geetha International Journal of Computer Sciences and Engineering 4 (10), 144-151, 2016 | 13 | 2016 |
Arunnehru JSpeech and Vision Lab, Computer Science and EngineeringAdresă de e-mail confirmată pe srmist.edu.in