Adaptive rate filtering a computationally efficient signal processing approach SM Qaisar, L Fesquet, M Renaudin Signal Processing 94, 620-630, 2014 | 76 | 2014 |
Theft Detection Dataset for Benchmarking and Machine Learning based Classification in a Smart Grid Environment S Zidi, A Mihoub, SM Qaisar, M Krichen, QA Al-Haija Journal of King Saud University - Computer and Information Sciences, 2022 | 71 | 2022 |
Sentiment analysis of IMDb movie reviews using long short-term memory SM Qaisar 2020 2nd International Conference on Computer and Information Sciences …, 2020 | 68 | 2020 |
Efficient mobile systems based on adaptive rate signal processing SM Qaisar Computers and Electrical Engineering 79, 2019 | 68 | 2019 |
A systematic review on machine learning and deep learning models for electronic information security in mobile networks C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar, KY Huang Sensors 22 (5), 2017, 2022 | 56 | 2022 |
Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition A Subasi, SM Qaisar Journal of Ambient Intelligence and Humanized Computing, 2020 | 48 | 2020 |
Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques SM Qaisar, A Subasi Physical and Engineering Sciences in Medicine, 2020 | 48 | 2020 |
An efficient signal acquisition with an adaptive rate A/D conversion SM Qaisar, R Yahiaoui, T Gharbi 2013 IEEE International Conference on Circuits and Systems (ICCAS), 124-129, 2013 | 46 | 2013 |
Spectral analysis of a signal driven sampling scheme SM Qaisar, L Fesquet, M Renaudin 2006 14th European Signal Processing Conference, 1-5, 2006 | 41 | 2006 |
Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare SM Qaisar, F Hussain Sensors 8, 2020 | 39 | 2020 |
Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare SM Qaisar, A Subasi Journal of Ambient Intelligence and Humanized Computing, 2020 | 38 | 2020 |
An Effective Arrhythmia Classification via ECG Signal Subsampling and Mutual Information based Subbands Statistical Features Selection SM Qaisar, SH Fawad Journal of Ambient Intelligence and Humanized Computing, 2021 | 36 | 2021 |
Surface EMG signal classification by using WPD and ensemble tree classifiers AA Abdullah, A Subasi, SM Qaisar CMBEBIH 2017: Proceedings of the International Conference on Medical and …, 2017 | 36 | 2017 |
Effective Epileptic Seizure Detection by Using Level-Crossing EEG Sampling Sub-Bands Statistical Features Selection and Machine Learning for Mobile Healthcare SM Qaisar, SH Fawad Computer Methods and Programs in Biomedicine, 2021 | 35 | 2021 |
Adaptive rate sampling and filtering based on level crossing sampling S Mian Qaisar, L Fesquet, M Renaudin EURASIP Journal on Advances in Signal Processing 2009, 1-12, 2009 | 34 | 2009 |
Event-Driven Coulomb Counting for Effective Online Approximation of Li-Ion Battery State of Charge SM Qaisar Energies 13 (https://doi.org/10.3390/en13215600), 2020 | 33 | 2020 |
Computationally efficient adaptive rate sampling and filtering SM Qaisar, L Fesquet, M Renaudin 2007 15th European Signal Processing Conference, 2139-2143, 2007 | 33 | 2007 |
Multirate processing with selective subbands and machine learning for efficient arrhythmia classification SM Qaisar, A Mihoub, M Krichen, H Nisar Sensors 21 (4), 1511, 2021 | 32 | 2021 |
Fusion of Multivariate EEG Signals for Schizophrenia Detection using CNN and Machine Learning Techniques F Hassan, SM Qaisar, F Hussain Information Fusion 92, 466-478, 2023 | 31 | 2023 |
Analyzing optimal battery sizing in microgrids based on the feature selection and machine learning approaches H Khan, NI Fareed, SM Qaisar, A Waqar, M Krichen, AT Almaktoom Energies, 2022 | 31 | 2022 |