Md. Rafiul Hassan

发表

Jaccard Index based availability prediction in enterprise grids

Rajkumar Buyya, Mustafizur Rahman, Md. Rafiul Hassan, 2010, ICCS.

Artificial Neural Networks in Smart Homes

Md. Rafiul Hassan, Rezaul K. Begg, R. Begg, 2006, Designing Smart Homes.

A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids

Giancarlo Fortino, Javier Del Ser, Mohammad Mehedi Hassan, 2020, Appl. Soft Comput..

Intrusion Detection System Based on Cost Based Support Vector Machine

Md. Rafiul Hassan, 2016 .

Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks

Iqbal Gondal, Joarder Kamruzzaman, Md. Rafiul Hassan, 2017, ICONIP.

Adaptive workflow scheduling for dynamic grid and cloud computing environment

Rajkumar Buyya, Rajiv Ranjan, Mustafizur Rahman, 2013, Concurr. Comput. Pract. Exp..

A combination of hidden Markov model and fuzzy model for stock market forecasting

Md. Rafiul Hassan, 2009, Neurocomputing.

HMM based Fuzzy Model for Time Series Prediction

Baikunth Nath, Md. Rafiul Hassan, Michael Kirley, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A HMM-based adaptive fuzzy inference system for stock market forecasting

Kotagiri Ramamohanarao, Joarder Kamruzzaman, Mustafizur Rahman, 2013, Neurocomputing.

Dynamic Resource Allocation for Improved QoS in WiMAX/WiFi Integration

Iqbal Gondal, Iftekhar Ahmad, Joarder Kamruzzaman, 2011, SNPD.

Modeling multiuser spectrum allocation for cognitive radio networks

Joarder Kamruzzaman, Md. Rafiul Hassan, Mohammad Iqbal Bin Shahid, 2016, Comput. Electr. Eng..

A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction

Joarder Kamruzzaman, Baikunth Nath, Md. Rafiul Hassan, 2012, Neurocomputing.

A fusion model of HMM, ANN and GA for stock market forecasting

Baikunth Nath, Md. Rafiul Hassan, Michael Kirley, 2007, Expert Syst. Appl..

Feature Weighted SVMs Using Receiver Operating Characteristics

James Bailey, Kotagiri Ramamohanarao, Md. Rafiul Hassan, 2009, SDM.

Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)]

Joarder Kamruzzaman, Baikunth Nath, Md. Rafiul Hassan, 2013, Neurocomputing.

ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data

James Bailey, Md. Rafiul Hassan, M. Maruf Hossain, 2008, SDM.

A novel cascaded deep neural network for analyzing smart phone data for indoor localization

Mohammad Mehedi Hassan, Md. Rafiul Hassan, Abdulhameed Alelaiwi, 2019, Future Gener. Comput. Syst..

Automated Recognition of Human Movement States using Body Acceleration Signals

Md. Rafiul Hassan, Rezaul Begg, Ahsan H. Khandoker, 2016 .

Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation

Md. Rafiul Hassan, Michael Kirley, Chandan K. Karmakar, 2008, SEAL.

Forecasting Urban Air Pollution Using HMM-Fuzzy Model

Md. Rafiul Hassan, Michael Kirley, M. Maruf Hossain, 2008, PAKDD.

Network topology measures for identifying disease-gene association in breast cancer

Md. Rafiul Hassan, Emad Ramadan, Sadiq Al-Insaif, 2016, BMC Bioinformatics.

Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics

James Bailey, Kotagiri Ramamohanarao, Md. Rafiul Hassan, 2008, ECML/PKDD.

Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models

Tarek Helmy, Md. Rafiul Hassan, Moustafa Elshafei, 2015, Neural Computing and Applications.

A Novel Scalable Multi-class ROC for Effective Visualization and Computation

James Bailey, Kotagiri Ramamohanarao, Md. Rafiul Hassan, 2010, PAKDD.

A voting approach to identify a small number of highly predictive genes using multiple classifiers

James Bailey, Kotagiri Ramamohanarao, Md. Rafiul Hassan, 2009, BMC Bioinformatics.

Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

Md. Rafiul Hassan, Md. Arifuzzaman, Muhammad Imtiaz Hossain, 2018, Comput. Intell. Neurosci..

Breast-Cancer identification using HMM-fuzzy approach

Kotagiri Ramamohanarao, Md. Rafiul Hassan, Rezaul K. Begg, 2010, Comput. Biol. Medicine.

Hydraulic Unit Estimation From Predicted Permeability and Porosity Using Artificial Intelligence Techniques

Md. Rafiul Hassan, Abdulazeez Abdulraheem, M. Enamul Hossain, 2013 .

Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble

Joarder Kamruzzaman, Md. Rafiul Hassan, Md Sarwar Morshedul Haque, 2017, ISDA.

Data compression using huffman coding - a novel approach

Baikunth Nath, Md. Rafiul Hassan, 2005, IADIS AC.

Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion

Giancarlo Fortino, Jemal H. Abawajy, Mohammad Mehedi Hassan, 2022, Inf. Fusion.

Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence

Giancarlo Fortino, Mohammad Mehedi Hassan, Md. Rafiul Hassan, 2022, Future Gener. Comput. Syst..

B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction

Kanis Fatema, Mohammad Mehedi Hassan, Md. Rafiul Hassan, 2021, IEEE Network.

A predictive intelligence approach to classify brain-computer interface based eye state for smart living

Mohammad Mehedi Hassan, Md. Rafiul Hassan, Md. Shamsul Huda, 2021, Appl. Soft Comput..

A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment

Mohammad Mehedi Hassan, Md. Rafiul Hassan, Victor Hugo C. de Albuquerque, 2021, IEEE Internet of Things Journal.

Hydraulic unit prediction using support vector machine

Md. Rafiul Hassan, Abdulazeez Abdulraheem, Syed Shujath Ali, 2013 .

A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19

Md. Rafiul Hassan, Walaa N. Ismail, S. Huda, 2022, The Journal of Supercomputing.

A new approach to enhance the performance of decision tree for classifying gene expression data

Md. Rafiul Hassan, R. Kotagiri, 2013, BMC Proceedings.

Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches

Md. Rafiul Hassan, Jefferson Silva Almeida, B. C. Torrico, 2022, IEEE Transactions on Intelligent Transportation Systems.

Network topology measures for identifying disease-gene association in breast cancer

Md. Rafiul Hassan, E. Ramadan, S. Al-Insaif, 2016, BMC Bioinformatics.

Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression

Md. Rafiul Hassan, Md. Golam Rabiul Alam, M. M. Hassan, 2022, Complex..

A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19

Md. Rafiul Hassan, Walaa N. Ismail, S. Huda, 2022, The Journal of Supercomputing.

A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

Giancarlo Fortino, Mohammad Mehedi Hassan, Md. Rafiul Hassan, 2019, IEEE Access.

Stock market forecasting using hidden Markov model: a new approach

Md. Rafiul Hassan, B. Nath, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

Stock market forecasting using hidden Markov model: a new approach

Md. Rafiul Hassan, B. Nath, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

A machine learning approach for prediction of pregnancy outcome following IVF treatment

Joarder Kamruzzaman, Md. Rafiul Hassan, Sadiq Al-Insaif, 2018, Neural Computing and Applications.

A Decision-Level Fusion Method for COVID-19 Patient Health Prediction

Md. Rafiul Hassan, Walaa N. Ismail, Abdu H. Gumaei, 2021, Big Data Research.

Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network

Md. Rafiul Hassan, Md. Golam Rabiul Alam, M. Haque, 2023, IEEE Transactions on Intelligent Transportation Systems.

Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier

Md. Rafiul Hassan, Md. Golam Rabiul Alam, Tasnim Sakib Apon, 2022, Future Gener. Comput. Syst..

Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System

Md. Rafiul Hassan, Md. Golam Rabiul Alam, R. Gravina, 2023, IEEE Transactions on Computational Social Systems.

Blockchain Based Smart-Grid Stackelberg Model for Electricity Trading and Price Forecasting Using Reinforcement Learning

Md. Rafiul Hassan, Md. Golam Rabiul Alam, M. M. Hassan, 2022, Applied Sciences.

Soft Computing for Intelligent Edge Computing

Md. Rafiul Hassan, W. Pedrycz, M. M. Hassan, 2022, Appl. Soft Comput..

Adaptive workflow scheduling for dynamic grid and cloud computing environment

Md. Rafiul Hassan, R. Buyya, R. Ranjan, 2013, Concurr. Comput. Pract. Exp..

Blockchain-Based Privacy-Preserving Authentication Model Intelligent Transportation Systems

Md. Rafiul Hassan, K. Kaur, K. Qureshi, 2023, IEEE Transactions on Intelligent Transportation Systems.

Understanding the impact on convolutional neural networks with different model scales in AIoT domain

Md. Rafiul Hassan, Md. Golam Rabiul Alam, G. Fortino, 2022, J. Parallel Distributed Comput..

Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems

Md. Rafiul Hassan, G. Fortino, M. M. Hassan, 2023, IEEE transactions on intelligent transportation systems (Print).

An Interpretive Perspective: Adversarial Trojaning Attack on Neural-Architecture-Search Enabled Edge AI Systems

Md. Rafiul Hassan, M. M. Hassan, Chien-Ming Chen, 2023, IEEE Transactions on Industrial Informatics.