| Stock market forecasting using hidden Markov model: a new approach MR Hassan, B Nath 5th International Conference on Intelligent Systems Design and Applications …, 2005 | 540 | 2005 |
| A fusion model of HMM, ANN and GA for stock market forecasting MR Hassan, B Nath, M Kirley Expert systems with Applications 33 (1), 171-180, 2007 | 453 | 2007 |
| Three dimensional aspects of corporate social responsibility MB Uddin, KM Tarique, MR Hassan Daffodil International University, 2008 | 240 | 2008 |
| A hybrid feature extraction method with regularized extreme learning machine for brain tumor classification A Gumaei, MM Hassan, MR Hassan, A Alelaiwi, G Fortino IEEE Access 7, 36266-36273, 2019 | 234 | 2019 |
| Adaptive workflow scheduling for dynamic grid and cloud computing environment M Rahman, R Hassan, R Ranjan, R Buyya Concurrency and Computation: Practice and Experience 25 (13), 1816-1842, 2013 | 163 | 2013 |
| A combination of hidden Markov model and fuzzy model for stock market forecasting MR Hassan Neurocomputing 72 (16-18), 3439-3446, 2009 | 163 | 2009 |
| A machine learning approach for prediction of pregnancy outcome following IVF treatment MR Hassan, S Al-Insaif, MI Hossain, J Kamruzzaman Neural computing and applications 32, 2283-2297, 2020 | 63 | 2020 |
| A HMM-based adaptive fuzzy inference system for stock market forecasting MR Hassan, K Ramamohanarao, J Kamruzzaman, M Rahman, ... Neurocomputing 104, 10-25, 2013 | 52 | 2013 |
| Flora of Rema-Kalenga Wildlife Sanctuary MZ Uddin, M Hassan IUCN: International Union for Conservation of Nature, 2004 | 52 | 2004 |
| Bengali phoneme recognition: a new approach MR Hassan, B Nath, MA Bhuiyan Proc. 6th international conference on computer and information technology …, 2003 | 52 | 2003 |
| A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction MR Hassan, B Nath, M Kirley, J Kamruzzaman Neurocomputing 81, 1-11, 2012 | 49 | 2012 |
| Artificial neural networks in smart homes R Begg, R Hassan Designing Smart Homes: The Role of Artificial Intelligence, 146-164, 2006 | 46 | 2006 |
| Breast-cancer identification using HMM-fuzzy approach MR Hassan, MM Hossain, RK Begg, K Ramamohanarao, Y Morsi Computers in Biology and Medicine 40 (3), 240-251, 2010 | 43 | 2010 |
| Jaccard index based availability prediction in enterprise grids M Rahman, MR Hassan, R Buyya Procedia Computer Science 1 (1), 2707-2716, 2010 | 41 | 2010 |
| 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 | 35 | 2020 |
| A robust deep-learning-enabled trust-boundary protection for adversarial industrial IoT environment MM Hassan, MR Hassan, S Huda, VHC de Albuquerque IEEE Internet of Things Journal 8 (12), 9611-9621, 2020 | 35 | 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 | 30 | 2022 |
| Effect of weeding regime and planting density on morphology and yield attributes of transplant aman rice cv. BRRIdhan41. MN Hassan, S Ahmed, MJ Uddin, MM Hasan Pakistan Journal of Weed Science Research 16 (4), 2010 | 30 | 2010 |
| Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics MR Hassan, MM Hossain, J Bailey, K Ramamohanarao Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 30 | 2008 |
| ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data MM Hossain, MR Hassan, J Bailey Proceedings of the 2008 SIAM international conference on data mining, 455-465, 2008 | 29 | 2008 |
