| UBIQUITOUS SMART HOME SYSTEM USING ANDROID APPLICATION S Kumar International Journal of Computer Networks & Communications (IJCNC) 6 (1), 33-43, 2014 | 379 | 2014 |
| A Deep Learning Approach for Motor Imagery EEG Signal Classification S Kumar, A Sharma, K Mamun, T Tsunoda 3rd Asia-Pacific World Congress on Computer Science and Engineering, 2016 | 156 | 2016 |
| Brain wave classification using long short-term memory network based OPTICAL predictor S Kumar, A Sharma, T Tsunoda Scientific reports 9 (1), 9153, 2019 | 154 | 2019 |
| An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information S Kumar, A Sharma, T Tsunoda BMC bioinformatics 18, 125-137, 2017 | 150 | 2017 |
| Android based smart home system with control via Bluetooth and internet connectivity S Kumar, SR Lee The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014), 1-2, 2014 | 130 | 2014 |
| CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI S Kumar, K Mamun, A Sharma Computers in biology and medicine 91, 231-242, 2017 | 82 | 2017 |
| Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth AL Tarca, BÁ Pataki, R Romero, M Sirota, Y Guan, R Kutum, ... Cell Reports Medicine 2 (6), 2021 | 80 | 2021 |
| A new parameter tuning approach for enhanced motor imagery EEG signal classification S Kumar, A Sharma Medical & biological engineering & computing 56, 1861-1874, 2018 | 66 | 2018 |
| OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals S Kumar, R Sharma, A Sharma PeerJ Computer Science 7, e375, 2021 | 40 | 2021 |
| Decimation filter with common spatial pattern and fishers discriminant analysis for motor imagery classification S Kumar, R Sharma, A Sharma, T Tsunoda 2016 international joint conference on neural networks (IJCNN), 2090-2095, 2016 | 39 | 2016 |
| Predicting MoRFs in protein sequences using HMM profiles R Sharma, S Kumar, T Tsunoda, A Patil, A Sharma BMC bioinformatics 17 (19), 251-258, 2016 | 38 | 2016 |
| Forecasting the spread of COVID-19 using LSTM network S Kumar, R Sharma, T Tsunoda, T Kumarevel, A Sharma BMC bioinformatics 22 (6), 1-9, 2021 | 37 | 2021 |
| Localization with RSSI values for wireless sensor networks: An artificial neural network approach S Kumar, SR Lee International Electronic conference on sensors and applications 1, 2014 | 26 | 2014 |
| Localization for Wireless Sensor Networks: A Neural Netwrok Approach S Kumar, R Sharma, E Vans International Journal of Computer Networks & Communications 8 (1), 61-71, 2016 | 25 | 2016 |
| Localization estimation using artificial intelligence technique in wireless sensor networks S Kumar, SM Jeon, SR Lee The Journal of Korean Institute of Communications and Information Sciences …, 2014 | 18 | 2014 |
| Subject-specific-frequency-band for motor imagery eeg signal recognition based on common spatial spectral pattern S Kumar, A Sharma, T Tsunoda PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 16 | 2019 |
| Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles R Sharma, S Kumar, T Tsunoda, T Kumarevel, A Sharma Analytical Biochemistry 612, 113954, 2021 | 14 | 2021 |
| CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data MO Miah, R Muhammod, KA Al Mamun, DM Farid, S Kumar, A Sharma, ... Journal of Neuroscience Methods 364, 109373, 2021 | 13 | 2021 |
| Time synchronization in wireless sensor networks: estimating packet delay S Kumar, Y Lee, SR Lee Proceedings of the 1st International Conference on Convergence, and its …, 2013 | 11 | 2013 |
| Energy and water monitoring system for smart metering and consumer awareness S Kumar Proceedings of 2nd International Electrical Conference on Sensor and …, 2015 | 9 | 2015 |