| Human emotion recognition using deep belief network architecture MM Hassan, MGR Alam, MZ Uddin, S Huda, A Almogren, G Fortino Information Fusion 51, 10-18, 2019 | 285 | 2019 |
| A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis S Huda, J Yearwood, HF Jelinek, MM Hassan, G Fortino, M Buckland IEEE access 4, 9145-9154, 2016 | 183 | 2016 |
| Hybrids of support vector machine wrapper and filter based framework for malware detection S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood Future Generation Computer Systems 55, 376-390, 2016 | 146 | 2016 |
| An ensemble oversampling model for class imbalance problem in software defect prediction S Huda, K Liu, M Abdelrazek, A Ibrahim, S Alyahya, H Al-Dossari, ... IEEE access 6, 24184-24195, 2018 | 131 | 2018 |
| Increasing the trustworthiness in the industrial IoT networks through a reliable cyberattack detection model MM Hassan, A Gumaei, S Huda, A Almogren IEEE Transactions on Industrial Informatics 16 (9), 6154-6162, 2020 | 121 | 2020 |
| Human activity recognition from body sensor data using deep learning MM Hassan, S Huda, MZ Uddin, A Almogren, M Alrubaian Journal of medical systems 42, 1-8, 2018 | 104 | 2018 |
| Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data S Huda, S Miah, MM Hassan, R Islam, J Yearwood, M Alrubaian, ... Information Sciences 379, 211-228, 2017 | 104 | 2017 |
| Malware threats and detection for industrial mobile-IoT networks S Sharmeen, S Huda, JH Abawajy, WN Ismail, MM Hassan IEEE access 6, 15941-15957, 2018 | 101 | 2018 |
| Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks S Huda, J Yearwood, MM Hassan, A Almogren Applied soft computing 71, 66-77, 2018 | 96 | 2018 |
| A framework for software defect prediction and metric selection S Huda, S Alyahya, MM Ali, S Ahmad, J Abawajy, H Al-Dossari, ... IEEE access 6, 2844-2858, 2017 | 92 | 2017 |
| An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy A Stranieri, J Abawajy, A Kelarev, S Huda, M Chowdhury, HF Jelinek Artificial intelligence in medicine 58 (3), 185-193, 2013 | 92 | 2013 |
| A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection YA Ahmed, B Koçer, S Huda, BAS Al-rimy, MM Hassan Journal of Network and Computer Applications 167, 102753, 2020 | 86 | 2020 |
| Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence MR Hassan, MF Islam, MZ Uddin, G Ghoshal, MM Hassan, S Huda, ... Future Generation Computer Systems 127, 462-472, 2022 | 83 | 2022 |
| Evolution of dark web threat analysis and detection: A systematic approach S Nazah, S Huda, J Abawajy, MM Hassan Ieee Access 8, 171796-171819, 2020 | 77 | 2020 |
| A hybrid wrapper-filter approach for malware detection M Alazab, S Huda, J Abawajy, MDR Islam, J Yearwood, S Venkatraman, ... Journal of networks 9 (11), 2878-2891, 2014 | 71 | 2014 |
| Avoiding future digital extortion through robust protection against ransomware threats using deep learning based adaptive approaches S Sharmeen, YA Ahmed, S Huda, BŞ Koçer, MM Hassan IEEE Access 8, 24522-24534, 2020 | 67 | 2020 |
| A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids A Gumaei, MM Hassan, S Huda, MR Hassan, D Camacho, J Del Ser, ... Applied Soft Computing 96, 106658, 2020 | 63 | 2020 |
| A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss Journal of Parallel and Distributed Computing 120, 23-31, 2018 | 63 | 2018 |
| Identifying cyber threats to mobile-IoT applications in edge computing paradigm J Abawajy, S Huda, S Sharmeen, MM Hassan, A Almogren Future Generation Computer Systems 89, 525-538, 2018 | 59 | 2018 |
| An adaptive trust boundary protection for IIoT networks using deep-learning feature-extraction-based semisupervised model MM Hassan, S Huda, S Sharmeen, J Abawajy, G Fortino IEEE Transactions on Industrial Informatics 17 (4), 2860-2870, 2020 | 58 | 2020 |
Mali AbdollahianAssociate Professor RMIT University在 rmit.edu.au 的电子邮件经过验证
