| Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques P Ghosh, S Azam, M Jonkman, A Karim, FMJM Shamrat, E Ignatious, ... IEEE Access 9, 19304-19326, 2021 | 341 | 2021 |
| Frequency Bands Effects on QRS Detection. M Elgendi, M Jonkman, F De Boer Biosignals 2003, 2002, 2010 | 164 | 2010 |
| Preprocessing of breast cancer images to create datasets for deep-CNN AR Beeravolu, S Azam, M Jonkman, B Shanmugam, K Kannoorpatti, ... IEEE Access 9, 33438-33463, 2021 | 76 | 2021 |
| Intrusion detection system for Internet of Things based on a machine learning approach C Liang, B Shanmugam, S Azam, M Jonkman, F De Boer, ... 2019 International Conference on Vision Towards Emerging Trends in …, 2019 | 60 | 2019 |
| BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images S Montaha, S Azam, AKMRH Rafid, P Ghosh, MZ Hasan, M Jonkman, ... Biology 10 (12), 1347, 2021 | 57 | 2021 |
| A performance based study on deep learning algorithms in the effective prediction of breast cancer P Ghosh, S Azam, KM Hasib, A Karim, M Jonkman, A Anwar 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 56 | 2021 |
| Heart rate variability and the acceleration plethysmogram signals measured at rest M Elgendi, M Jonkman, F DeBoer Biomedical Engineering Systems and Technologies: Third International Joint …, 2011 | 50 | 2011 |
| Improved QRS detection algorithm using dynamic thresholds M Elgendi, M Jonkman, F De Boer International Journal of Hybrid Information Technology 2 (1), 65-80, 2009 | 50 | 2009 |
| R wave detection using Coiflets wavelets M Elgendi, M Jonkman, F De Boer 2009 IEEE 35th Annual Northeast Bioengineering Conference, 1-2, 2009 | 47 | 2009 |
| R wave detection using Coiflets wavelets M Elgendi, M Jonkman, F De Boer 2009 IEEE 35th Annual Northeast Bioengineering Conference, 1-2, 2009 | 47 | 2009 |
| R wave detection using Coiflets wavelets M Elgendi, M Jonkman, F De Boer 2009 IEEE 35th Annual Northeast Bioengineering Conference, 1-2, 2009 | 47 | 2009 |
| An overview of blockchain applications and attacks RR Vokerla, B Shanmugam, S Azam, A Karim, F De Boer, M Jonkman, ... 2019 international conference on vision towards emerging trends in …, 2019 | 45 | 2019 |
| A comparative study of different machine learning tools in detecting diabetes P Ghosh, S Azam, A Karim, M Hassan, K Roy, M Jonkman Procedia Computer Science 192, 467-477, 2021 | 42 | 2021 |
| An intelligent spam detection model based on artificial immune system AJ Saleh, A Karim, B Shanmugam, S Azam, K Kannoorpatti, M Jonkman, ... Information 10 (6), 209, 2019 | 40 | 2019 |
| Use of efficient machine learning techniques in the identification of patients with heart diseases P Ghosh, S Azam, A Karim, M Jonkman, MDZ Hasan Proceedings of the 2021 5th International Conference on Information System …, 2021 | 37 | 2021 |
| On reduced consumption of fossil fuels in 2020 and its consequences in global environment and exergy demand A Rashedi, T Khanam, M Jonkman Energies 13 (22), 6048, 2020 | 37 | 2020 |
| A robust QRS complex detection algorithm using dynamic thresholds M Elgendi, S Mahalingam, M Jonkman, F De Boer International Symposium on Computer Science and its Applications, 153-158, 2008 | 36 | 2008 |
| An intelligent and secured tracking system for monitoring school bus A Ahmed, MMR Parvez, MH Hasan, FN Nur, NN Moon, A Karim, S Azam, ... 2019 International Conference on Computer Communication and Informatics …, 2019 | 35 | 2019 |
| Factors affecting staff turnover of young academics: Job embeddedness and creative work performance in higher academic institutions IA Shah, A Yadav, F Afzal, SMZA Shah, D Junaid, S Azam, M Jonkman, ... Frontiers in Psychology 11, 570345, 2020 | 34 | 2020 |
| A comprehensive unsupervised framework for chronic kidney disease prediction L Antony, S Azam, E Ignatious, R Quadir, AR Beeravolu, M Jonkman, ... IEEE Access 9, 126481-126501, 2021 | 33 | 2021 |
