| Speech enhancement using minimum mean square error filter and spectral subtraction filter B Kirubagari, S Palanivel, N Subathra International Conference on Information Communication and Embedded Systems …, 2014 | 11 | 2014 |
| An effective fuzzy support vector machine based seizure detection model using EEG signals P Suguna, B Kirubagari, R Umamaheswari 2020 4th International Conference on Electronics, Communication and …, 2020 | 5 | 2020 |
| Speech enhancement using super soft thresholding in wavelet domain R Santhoshkumar, B Kirubagari International Journal of Advanced Research in Computer Science and Software …, 2015 | 4 | 2015 |
| A noval approach in speech enhancement for reducing noise using bandpass filter and spectral subtraction B Kirubagari, R Selvaganesh Bonfring Int. J. Res. Commun. Eng 2, 5-8, 2012 | 3 | 2012 |
| Classification of pathological disorders using optimization enabled deep neuro fuzzy network MS Chinchu, B Kirubagari, K Mathew Biomedical Signal Processing and Control 78, 103771, 2022 | 2 | 2022 |
| Speech enhancement with signal subspace filter based on perceptual post filtering K Ramalakshmi, B Kirubagari National Conference on “Emerging Trends in computing and network …, 2011 | 2 | 2011 |
| An evaluation of deep learning approaches for detection of voice disorders. MS Chinchu, B Kirubagari IOP Conference Series: Materials Science and Engineering 1085 (1), 012017, 2021 | 1 | 2021 |
| An Analysis of Epileptic Seizure Detection and Classification Using Machine Learning-Based Artificial Neural Network P Suguna, B Kirubagari, R Umamaheswari Inventive Systems and Control: Proceedings of ICISC 2021, 53-59, 2021 | 1 | 2021 |
| 4 th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2020) AM Hassan, ST Hasson, M Palanivel, U Kaithamalai, P Parthsarathi, ... Computer 85, 17, 2020 | 1 | 2020 |
| A New Approach for Coding of Speech Signals using Auto Associative Neural Networks B Kirubagari, S Palanivel CIIT Digital Signal Processing 5 (6), 211-215, 2013 | 1 | 2013 |
| Improved Model to Detect Cancer from Cervical Histopathology Images by Optimizing Feature Selection and Ensemble Classifier RB Laxmi, B Kirubagari, L Pandian Journal of Advances in Information Technology 14 (4), 2023 | | 2023 |
| Deep Learning assisted Cervical Cancer Classification with Residual Skip Convolution Neural Network (Res _ Skip _ CNN)-based Nuclei segmentation on Histopathological Images RB Laxmi, B Kirubagari, S LakshmanaPandian 2022 International Conference on Computer, Power and Communications (ICCPC …, 2022 | | 2022 |
| Early Leaf Health Prediction Using Deep Dense Convolutional Neural Network (Ddcnn) and Computer Vision SA Dar, S Palanivel, MK Geetha, B Kirubagari Global J Res Eng Comput Sci 2 (1), 13-22, 2022 | | 2022 |
| Speech enhancement using MEL frequency cepstral coefficients M Deebalakshmi, B Kirubagari International Journal for Science and Advance Research in Technology 3 (2 …, 2017 | | 2017 |
| Lossy Coding Of Speech Signals Using Subband Coding B Kirubagari, T Agilan Second International Conference on Trends in Technology for Convergence …, 2015 | | 2015 |
| Lossless Coding of Speech Signals using Huffman Coding B Kirubagari, T Agilan International Congress on Advances in Engineering, Science and Management …, 2015 | | 2015 |
| Lossy and Lossless Coding of Speech Signals using Subband and Huffman Coding B Kirubagari, T Agilan Technological convergence for Information, health, food, Energy 2015 (TCIFES …, 2015 | | 2015 |
| Speech Enhancement using Super Soft Thresholding in Wavelet Domain B Kirubagari, R Santhoshkumar National Conference on Recent Advances in Computer Science and Applications, 2015 | | 2015 |
| Three–stage hybrid system for speech signal enhancement B Kirubagari, S Palanivel International Journal of Signal and Imaging Systems Engineering 8 (1-2), 123-136, 2015 | | 2015 |
| CODING MFCC FEATURES OF SPEECH SIGNALS USING PATTERN CLASSIFICATION METHODS B Kirubagari, S Palanivel, KN Boopalaraja International Conference on research vogues in information & communication …, 2014 | | 2014 |
