| Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions R Sharma, RB Pachori Expert Systems with Applications, 2015 | 439 | 2015 |
| Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals R Sharma, RB Pachori, UR Acharya Entropy 17 (2), 669-691, 2015 | 335 | 2015 |
| An integrated index for the identification of focal electroencephalogram signals using discrete wavelet transform and entropy measures R Sharma, RB Pachori, UR Acharya Entropy 17 (8), 5218-5240, 2015 | 203 | 2015 |
| Automatic sleep stages classification based on iterative filtering of electroencephalogram signals R Sharma, RB Pachori, A Upadhyay Neural Computing and Applications, 1-20, 2017 | 189 | 2017 |
| Empirical mode decomposition based classification of focal and non-focal EEG signals R Sharma, RB Pachori, S Gautam Medical Biometrics (ICMB), 2014 International Conference on, 135-140, 2014 | 110 | 2014 |
| Application of empirical mode decomposition for analysis of normal and diabetic RR–interval signals RB Pachori, P Avinash, K Shashank, R Sharma, UR Acharya Expert Systems with Applications, 2015 | 92 | 2015 |
| Decision support system for focal EEG signals using tunable-Q wavelet transform R Sharma, M Kumar, RB Pachori, UR Acharya Journal of Computational Science 20, 52-60, 2017 | 85 | 2017 |
| Classification of normal and epileptic seizure EEG signals based on empirical mode decomposition RB Pachori, R Sharma, S Patidar Complex System Modelling and Control Through Intelligent Soft Computations …, 2015 | 65 | 2015 |
| Computer Aided Detection of Abnormal EMG Signals based on Tunable-Q Wavelet Transform D Joshi, A Tripathi, R Sharma, RB Pachori International Conference on Signal Processing and Integrated Networks, 2017 | 32 | 2017 |
| A nonparametric approach for multicomponent AM–FM signal analysis A Upadhyay, M Sharma, RB Pachori, R Sharma Circuits, Systems, and Signal Processing 39 (12), 6316-6357, 2020 | 27 | 2020 |
| Automated classification of focal and non-focal EEG signals based on bivariate empirical mode decomposition R Sharma, RB Pachori Biomedical signal and image processing in patient care, 13-33, 2018 | 21 | 2018 |
| Analysis of epileptic seizure EEG signals using reconstructed phase space of intrinsic mode functions M Shah, S Saurav, R Sharma, RB Pachori 9th IEEE International Conference on Industrial and Information Systems, 2014 | 13 | 2014 |
| Denoising of electrocardiogram signal using S-transform based time–frequency filtering approach A Mishra, SS Sahu, R Sharma, SK Mishra Arabian Journal for Science and Engineering, 1-11, 2021 | 11 | 2021 |
| Whitening transformation of i-vectors in closed-set speaker verification of children K Radha, M Bansal, R Sharma 2023 10th International Conference on Signal Processing and Integrated …, 2023 | 4 | 2023 |
| Caffe-mobilenetv2 based tomato leaf disease detection BA Kumar, M Bansal, R Sharma 2023 3rd International conference on Artificial Intelligence and Signal …, 2023 | 2 | 2023 |
| IoT-based heart valve disorder detection using an amplitude and frequency modulated signal model M Bansal, R Sharma, A Dagar Internet of Things in Biomedical Sciences: Challenges and applications, 8-1-8-23, 2023 | 1 | 2023 |
| A gammatonegram based abnormality detection in PCG signals using CNN B Satyasai, R Sharma, M Bansal 2023 3rd International conference on Artificial Intelligence and Signal …, 2023 | 1 | 2023 |
Ram Bilas PachoriProfessor, Department of Electrical Engineering, Indian Institute of Technology Indore在 iiti.ac.in 的电子邮件经过验证
