Data compression using huffman coding - a novel approach. - Md. Rafiul Hassan; Baikunth Nath (IADIS AC, 2005)

StockMarket Forecasting Using Hidden Markov Model: A New Approach. - Md. Rafiul Hassan; Baikunth Nath (ISDA, 2005)

HMM-Fuzzy Model for Recognition of Gait Changes due to Trip-related Falls. - Md. Rafiul Hassan; Rezaul K. Begg; Simon Taylor; Dinesh K. Kumar (EMBC, 2006)

HMM based Fuzzy Model for Time Series Prediction. - Md. Rafiul Hassan; Baikunth Nath; Michael Kirley (FUZZ-IEEE, 2006)

Artificial Neural Networks in Smart Homes. - Rezaul K. Begg; Md. Rafiul Hassan (Designing Smart Homes, 2006)

A fusion model of HMM, ANN and GA for stock market forecasting. - Md. Rafiul Hassan; Baikunth Nath; Michael Kirley (Expert Syst. Appl., 2007)

Forecasting Urban Air Pollution Using HMM-Fuzzy Model. - M. Maruf Hossain; Md. Rafiul Hassan; Michael Kirley (PAKDD, 2008)

Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics. - Md. Rafiul Hassan; M. Maruf Hossain; James Bailey 001; Kotagiri Ramamohanarao (ECML/PKDD (1), 2008)

ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. - M. Maruf Hossain; Md. Rafiul Hassan; James Bailey 001 (SDM, 2008)

Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. - Md. Rafiul Hassan; M. Maruf Hossain; Chandan K. Karmakar; Michael Kirley (SEAL, 2008)

Feature Weighted SVMs Using Receiver Operating Characteristics. - Shaoyi Zhang; M. Maruf Hossain; Md. Rafiul Hassan; James Bailey 001; Kotagiri Ramamohanarao (SDM, 2009)

A voting approach to identify a small number of highly predictive genes using multiple classifiers. - Md. Rafiul Hassan; M. Maruf Hossain; James Bailey 001; Geoff MacIntyre; Joshua Wing Kei Ho; Kotagiri Ramamohanarao (BMC Bioinform., 2009)

A combination of hidden Markov model and fuzzy model for stock market forecasting. - Md. Rafiul Hassan (Neurocomputing, 2009)

A Novel Scalable Multi-class ROC for Effective Visualization and Computation. - Md. Rafiul Hassan; Kotagiri Ramamohanarao; Chandan K. Karmakar; M. Maruf Hossain; James Bailey 001 (PAKDD (1), 2010)

Breast-Cancer identification using HMM-fuzzy approach. - Md. Rafiul Hassan; M. Maruf Hossain; Rezaul K. Begg; Kotagiri Ramamohanarao; Yos S. Morsi (Comput. Biol. Medicine, 2010)

Jaccard Index based availability prediction in enterprise grids. - Mustafizur Rahman 003; Md. Rafiul Hassan; Rajkumar Buyya (ICCS, 2010)

Dynamic Resource Allocation for Improved QoS in WiMAX/WiFi Integration. - Md. Golam Rabbani; Joarder Kamruzzaman; Iqbal Gondal; Iftekhar Ahmad; Md. Rafiul Hassan (SNPD (Selected Papers), 2011)

A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction. - Md. Rafiul Hassan; Baikunth Nath; Michael Kirley; Joarder Kamruzzaman (Neurocomputing, 2012)

Adaptive workflow scheduling for dynamic grid and cloud computing environment. - Mustafizur Rahman 003; Md. Rafiul Hassan; Rajiv Ranjan 001; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2013)

Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)]. - Md. Rafiul Hassan; Baikunth Nath; Michael Kirley; Joarder Kamruzzaman (Neurocomputing, 2013)

A HMM-based adaptive fuzzy inference system for stock market forecasting. - Md. Rafiul Hassan; Kotagiri Ramamohanarao; Joarder Kamruzzaman; Mustafizur Rahman 003; M. Maruf Hossain (Neurocomputing, 2013)

Network topology measures for identifying disease-gene association in breast cancer. - Emad Y. Ramadan; Sadiq Al-Insaif; Md. Rafiul Hassan (BMC Bioinform., 2016)

Modeling multiuser spectrum allocation for cognitive radio networks. - Mohammad Iqbal Bin Shahid; Joarder Kamruzzaman; Md. Rafiul Hassan (Comput. Electr. Eng., 2016)

Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks. - Md. Mamunur Rashid 001; Joarder Kamruzzaman; Iqbal Gondal; Md. Rafiul Hassan (ICONIP (5), 2017)

Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble. - Md Sarwar Morshedul Haque; Md. Rafiul Hassan; Galal M. BinMakhashen; A. H. Owaidh; Joarder Kamruzzaman (ISDA, 2017)

Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. - Tarek Helmy; Muhammad Imtiaz Hossain; Abdulazeez Abdulraheem; S. M. Rahman; Md. Rafiul Hassan; Amar Khoukhi; Moustafa Elshafei (Neural Comput. Appl., 2017)

Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence. - Md. Rafiul Hassan; Abdullah Al Mamun 001; Muhammad Imtiaz Hossain; Md. Arifuzzaman (Comput. Intell. Neurosci., 2018)

A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification. - Abdu Gumaei; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Abdulhameed Alelaiwi; Giancarlo Fortino (IEEE Access, 2019)

A novel cascaded deep neural network for analyzing smart phone data for indoor localization. - Md. Rafiul Hassan; Md Sarwar Morshedul Haque; Muhammad Imtiaz Hossain; Mohammad Mehedi Hassan; Abdulhameed Alelaiwi (Future Gener. Comput. Syst., 2019)

A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids. - Abdu Gumaei; Mohammad Mehedi Hassan; Md. Shamsul Huda; Md. Rafiul Hassan; David Camacho; Javier Del Ser; Giancarlo Fortino (Appl. Soft Comput., 2020)

A machine learning approach for prediction of pregnancy outcome following IVF treatment. - Md. Rafiul Hassan; Sadiq Al-Insaif; Muhammad Imtiaz Hossain; Joarder Kamruzzaman (Neural Comput. Appl., 2020)

A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems. - Mujahid N. Syed; Md. Rafiul Hassan; Irfan Ahmad 001; Mohammad Mehedi Hassan; Victor Hugo C. de Albuquerque (IEEE Access, 2021)

A predictive intelligence approach to classify brain-computer interface based eye state for smart living. - Mohammad Mehedi Hassan; Md. Rafiul Hassan; Md. Shamsul Huda; Md. Zia Uddin; Abdu Gumaei; Ahmed Alsanad (Appl. Soft Comput., 2021)

A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment. - Mohammad Mehedi Hassan; Md. Rafiul Hassan; Md. Shamsul Huda; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2021)

B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction. - Md. Rafiul Hassan; Mohammad Mehedi Hassan; Meteb Altaf; Mostafa Shamin Yeasar; M. Imtiaz Hossain; Kanis Fatema; Rubya Shaharin; Adel F. Ahmed (IEEE Netw., 2021)

Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture. - Mahbubun Nahar; A. H. M. Kamal; Md. Rafiul Hassan; Mohammad Ali Moni (Algorithms, 2022)

Soft Computing for Intelligent Edge Computing. - Mohammad Mehedi Hassan; Md. Rafiul Hassan; Victor Hugo C. de Albuquerque; Witold Pedrycz (Appl. Soft Comput., 2022)

A Decision-Level Fusion Method for COVID-19 Patient Health Prediction. - Abdu Gumaei; Walaa N. Ismail; Md. Rafiul Hassan; Mohammad Mehedi Hassan; Ebtsam Mohamed; Abdullah Alelaiwi; Giancarlo Fortino (Big Data Res., 2022)

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. Sabbir Ahmed; Md. Tasin Tazwar; Haseen Khan; Swadhin Roy; Junaed Iqbal; Md. Golam Rabiul Alam; Md. Rafiul Hassan; Mohammad Mehedi Hassan (Complex., 2022)

Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. - Md. Rafiul Hassan; Md. Fakrul Islam; Md. Zia Uddin; Goutam Ghoshal; Mohammad Mehedi Hassan; Shamsul Huda; Giancarlo Fortino (Future Gener. Comput. Syst., 2022)

Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion. - Md. Rafiul Hassan; Shamsul Huda; Mohammad Mehedi Hassan; Jemal H. Abawajy; Ahmed Alsanad; Giancarlo Fortino (Inf. Fusion, 2022)

Understanding the impact on convolutional neural networks with different model scales in AIoT domain. - Longxin Lin; Zhenxiong Xu; Chien-Ming Chen 001; Ke Wang; Md. Rafiul Hassan; Md. Golam Rabiul Alam; Mohammad Mehedi Hassan; Giancarlo Fortino (J. Parallel Distributed Comput., 2022)

Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches. - Pedro Henrique Feijo de Sousa; Jefferson Silva Almeida; Elene Firmeza Ohata; Fabricio Gonzalez Nogueira; Bismark Claure Torrico; Victor Hugo C. de Albuquerque; Mohammad Mehedi Hassan; Neeraj Kumar 001; Md. Rafiul Hassan; Pedro Pedrosa Rebouças Filho (IEEE Trans. Intell. Transp. Syst., 2022)

A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. - Md. Rafiul Hassan; Walaa N. Ismail; Ahmad Chowdhury; Sharara Hossain; Shamsul Huda; Mohammad Mehedi Hassan (J. Supercomput., 2022)

Energy Cooperation Among Sustainable Base Stations in Multi-Operator Cellular Networks. - Anika Tahsin; Palash Roy; Md. Abdur Razzaque; Md. Mamun-Or-Rashid; Mohammad Siraj; Salman A. AlQahtani; Md. Rafiul Hassan; Mohammad Mehedi Hassan (IEEE Access, 2023)

An Interpretive Perspective: Adversarial Trojaning Attack on Neural-Architecture-Search Enabled Edge AI Systems. - Ship Peng Xu; Ke Wang; Md. Rafiul Hassan; Mohammad Mehedi Hassan; Chien-Ming Chen 001 (IEEE Trans. Ind. Informatics, 2023)

Blockchain-Based Privacy-Preserving Authentication Model Intelligent Transportation Systems. - Kashif Naseer Qureshi; Gwanggil Jeon; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Kuljeet Kaur (IEEE Trans. Intell. Transp. Syst., 2023)

Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier. - A. H. M. Kamal; Md. Golam Rabiul Alam; Md. Rafiul Hassan; Tasnim Sakib Apon; Mohammad Mehedi Hassan (Future Gener. Comput. Syst., 2023)

Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network. - Md. Golam Rabiul Alam; Mahmudul Haque; Md. Rafiul Hassan; Shamsul Huda; Mohammad Mehedi Hassan; Fred L. Strickland; Salman A. AlQahtani (IEEE Trans. Intell. Transp. Syst., 2023)

Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System. - Tanvir Islam; Anika Rahman Joyita; Md. Golam Rabiul Alam; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Raffaele Gravina (IEEE Trans. Comput. Soc. Syst., 2023)

Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems. - Ship Peng Xu; Eric Ke Wang; Mohammad Mehedi Hassan; Chien-Ming Chen 001; Weiguo Lin; Md. Rafiul Hassan; Giancarlo Fortino (IEEE Trans. Intell. Transp. Syst., 2023)

LRFS: Online Shoppers' Behavior-Based Efficient Customer Segmentation Model. - Riyo Hayat Khan; Dibyo Fabian Dofadar; Md. Golam Rabiul Alam; Mohammad Siraj; Md. Rafiul Hassan; Mohammad Mehedi Hassan (IEEE Access, 2024)

Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment. - Shamyo Brotee; Farhan Kabir; Md. Abdur Razzaque; Palash Roy; Md. Mamun-Or-Rashid; Md. Rafiul Hassan; Mohammad Mehedi Hassan (Ad Hoc Networks, 2024)

A novel deep learning framework based swin transformer for dermal cancer cell classification. - K. Ramkumar; Elias P. Medeiros; Ani Dong; Victor Hugo C. de Albuquerque; Md. Rafiul Hassan; Mohammad Mehedi Hassan (Eng. Appl. Artif. Intell., 2024)

Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks. - R. Deeptha; K. Ramkumar; Sri Venkateswaran; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Farzan Majeed Noori; Md. Zia Uddin (Frontiers Neuroinformatics, 2024)

The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review. - Senthil Kumar Jagatheesaperumal; Mohammad Mehedi Hassan; Md. Rafiul Hassan; Giancarlo Fortino (Cogn. Comput., 2024)

Directed Fuzzy Edge Graphs Under q-ROF Environment: A Framework for Optimal Pathfinding. - Nazia Nazir; Tanzeela Shaheen; Wajid Ali; Md. Rafiul Hassan; Mohammad Mehedi Hassan (IEEE Access, 2025)