Md Rafiul Hassan
Md Rafiul Hassan
Associate Professor and Program Co-ordinator, Computer Science, University of Maine - Presque Isle
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Stock market forecasting using hidden Markov model: a new approach
MR Hassan, B Nath
5th International Conference on Intelligent Systems Design and Applications …, 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
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
Three dimensional aspects of corporate social responsibility
MB Uddin, KM Tarique, MR Hassan
Daffodil International University, 2008
A combination of hidden Markov model and fuzzy model for stock market forecasting
MR Hassan
Neurocomputing 72 (16-18), 3439-3446, 2009
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
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
Flora of Rema-Kalenga wildlife sanctuary
MZ Uddin, MA Hassan
IUCN: International Union for Conservation of Nature, 2004
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
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
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
A HMM-based adaptive fuzzy inference system for stock market forecasting
MR Hassan, K Ramamohanarao, J Kamruzzaman, M Rahman, ...
Neurocomputing 104, 10-25, 2013
Bengali phoneme recognition: a new approach
MR Hassan, B Nath, MA Bhuiyan
Proc. 6th international conference on computer and information technology …, 2003
Artificial neural networks in smart homes
R Begg, R Hassan
Designing smart homes 4008, 146-164, 2006
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion
MR Hassan, S Huda, MM Hassan, J Abawajy, A Alsanad, G Fortino
Information Fusion 77, 70-80, 2022
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
A decision-level fusion method for COVID-19 patient health prediction
A Gumaei, WN Ismail, MR Hassan, MM Hassan, E Mohamed, A Alelaiwi, ...
Big Data Research 27, 100287, 2022
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
Jaccard index based availability prediction in enterprise grids
M Rahman, MR Hassan, R Buyya
Procedia Computer Science 1 (1), 2707-2716, 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
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