| Deep learning convolutional neural network (CNN) With Gaussian mixture model for predicting pancreatic cancer K Sekaran, P Chandana, NM Krishna, S Kadry Multimedia Tools and Applications 79 (15), 10233-10247, 2020 | 131 | 2020 |
| An efficient mixture model approach in brain-machine interface systems for extracting the psychological status of mentally impaired persons using EEG signals NM Krishna, K Sekaran, AVN Vamsi, GSP Ghantasala, P Chandana, ... Ieee Access 7, 77905-77914, 2019 | 61 | 2019 |
| Design of optimal search engine using text summarization through artificial intelligence techniques K Sekaran, P Chandana, JRV Jeny, MN Meqdad, S Kadry TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (3 …, 2020 | 37 | 2020 |
| An effective identification of crop diseases using faster region based convolutional neural network and expert systems P Chandana, GP Ghantasala, JRV Jeny, K Sekaran, N Deepika, Y Nam, ... International Journal of Electrical and Computer Engineering (IJECE) 10 (6 …, 2020 | 29 | 2020 |
| & Damaševičius, R.(2019). An efficient mixture model approach in brain-machine interface systems for extracting the psychological status of mentally impaired persons using EEG … NM Krishna, K Sekaran, AVN Vamsi, GP Ghantasala, P Chandana, ... Ieee Access 7, 77905-77914, 0 | 16 | |
| Implementation of face and eye detection on DM6437 board using simulink model B Vijayalaxmi, K Sekaran, N Neelima, P Chandana, MN Meqdad, S Kadry Bulletin of Electrical Engineering and Informatics 9 (2), 785-791, 2020 | 9 | 2020 |
| IMPLEMENTING GAUSSIAN MIXTURE MODEL FOR IDENTIFYING IMAGE SEGMENTATION S Eddula, P Chandana, BS Swaroop | | |
