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ORCIDMd. Rafiul Hassan
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2020 – today
- 2024
[j40]Riyo Hayat Khan
, Dibyo Fabian Dofadar, Md. Golam Rabiul Alam, Mohammad Siraj, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
LRFS: Online Shoppers' Behavior-Based Efficient Customer Segmentation Model. IEEE Access 12: 96462-96480 (2024)- [j39]Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque, Palash Roy, Md. Mamun-Or-Rashid, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment. Ad Hoc Networks 160: 103519 (2024) - [j38]Senthil Kumar Jagatheesaperumal, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Giancarlo Fortino:
The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review. Cogn. Comput. 16(5): 2756-2778 (2024) - [j37]K. Ramkumar, Elias P. Medeiros, Ani Dong, Victor Hugo C. de Albuquerque, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
A novel deep learning framework based swin transformer for dermal cancer cell classification. Eng. Appl. Artif. Intell. 133: 108097 (2024) - [i2]Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque, Palash Roy, Md. Mamun-Or-Rashid, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment. CoRR abs/2401.01481 (2024) - 2023
- [j36]Anika Tahsin, Palash Roy, Md. Abdur Razzaque, Md. Mamun-Or-Rashid, Mohammad Siraj, Salman A. AlQahtani, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
Energy Cooperation Among Sustainable Base Stations in Multi-Operator Cellular Networks. IEEE Access 11: 19405-19417 (2023) - [j35]A. H. M. Kamal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Tasnim Sakib Apon, Mohammad Mehedi Hassan:
Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier. Future Gener. Comput. Syst. 141: 230-242 (2023) - [j34]Tanvir Islam, Anika Rahman Joyita, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Raffaele Gravina:
Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System. IEEE Trans. Comput. Soc. Syst. 10(4): 2099-2110 (2023) - [j33]Ship Peng Xu, Ke Wang, Md. Rafiul Hassan, Mohammad Mehedi Hassan, Chien-Ming Chen:
An Interpretive Perspective: Adversarial Trojaning Attack on Neural-Architecture-Search Enabled Edge AI Systems. IEEE Trans. Ind. Informatics 19(1): 503-510 (2023) - [j32]Md. Golam Rabiul Alam, Mahmudul Haque, Md. Rafiul Hassan, Shamsul Huda, Mohammad Mehedi Hassan, Fred L. Strickland, Salman A. AlQahtani:
Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 24(4): 4671-4681 (2023) - [j31]Kashif Naseer Qureshi, Gwanggil Jeon, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Kuljeet Kaur:
Blockchain-Based Privacy-Preserving Authentication Model Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(7): 7435-7443 (2023) - [j30]Ship Peng Xu, Eric Ke Wang, Mohammad Mehedi Hassan, Chien-Ming Chen, Weiguo Lin, Md. Rafiul Hassan, Giancarlo Fortino:
Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(8): 8465-8474 (2023) - [i1]Tanvir Islam, Anika Rahman Joyita, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Raffaele Gravina:
Human Behavior-based Personalized Meal Recommendation and Menu Planning Social System. CoRR abs/2308.06549 (2023) - 2022
- [j29]Mahbubun Nahar, A. H. M. Kamal, Md. Rafiul Hassan, Mohammad Ali Moni:
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture. Algorithms 15(10): 335 (2022) - [j28]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Victor Hugo C. de Albuquerque, Witold Pedrycz:
Soft Computing for Intelligent Edge Computing. Appl. Soft Comput. 128: 109628 (2022) - [j27]Abdu Gumaei, Walaa N. Ismail, Md. Rafiul Hassan, Mohammad Mehedi Hassan, Ebtsam Mohamed, Abdullah Alelaiwi, Giancarlo Fortino:
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction. Big Data Res. 27: 100287 (2022) - [j26]Md. Sabbir Ahmed, Md. Tasin Tazwar, Haseen Khan, Swadhin Roy, Junaed Iqbal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
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. Complex. 2022: 5305353:1-5305353:20 (2022) - [j25]Md. Rafiul Hassan, Md. Fakrul Islam, Md. Zia Uddin, Goutam Ghoshal, Mohammad Mehedi Hassan, Shamsul Huda, Giancarlo Fortino:
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. Future Gener. Comput. Syst. 127: 462-472 (2022) - [j24]Md. Rafiul Hassan, Shamsul Huda, Mohammad Mehedi Hassan, Jemal H. Abawajy, Ahmed Alsanad, Giancarlo Fortino:
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion. Inf. Fusion 77: 70-80 (2022) - [j23]Longxin Lin, Zhenxiong Xu, Chien-Ming Chen, Ke Wang, Md. Rafiul Hassan, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Giancarlo Fortino:
Understanding the impact on convolutional neural networks with different model scales in AIoT domain. J. Parallel Distributed Comput. 170: 1-12 (2022) - [j22]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, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho:
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches. IEEE Trans. Intell. Transp. Syst. 23(10): 19807-19816 (2022) - [j21]Md. Rafiul Hassan, Walaa N. Ismail, Ahmad Chowdhury, Sharara Hossain, Shamsul Huda, Mohammad Mehedi Hassan:
A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. J. Supercomput. 78(7): 10250-10274 (2022) - 2021
- [j20]Mujahid N. Syed, Md. Rafiul Hassan, Irfan Ahmad, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque:
A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems. IEEE Access 9: 4211-4222 (2021) - [j19]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Md. Shamsul Huda, Md. Zia Uddin, Abdu Gumaei, Ahmed Alsanad:
A predictive intelligence approach to classify brain-computer interface based eye state for smart living. Appl. Soft Comput. 108: 107453 (2021) - [j18]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Md. Shamsul Huda, Victor Hugo C. de Albuquerque:
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment. IEEE Internet Things J. 8(12): 9611-9621 (2021) - [j17]Md. Rafiul Hassan, Mohammad Mehedi Hassan, Meteb Altaf, Mostafa Shamin Yeasar, M. Imtiaz Hossain, Kanis Fatema, Rubya Shaharin, Adel F. Ahmed:
B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction. IEEE Netw. 35(3): 48-55 (2021) - 2020
- [j16]Abdu Gumaei, Mohammad Mehedi Hassan, Md. Shamsul Huda, Md. Rafiul Hassan, David Camacho, Javier Del Ser, Giancarlo Fortino:
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids. Appl. Soft Comput. 96: 106658 (2020) - [j15]Md. Rafiul Hassan, Sadiq Al-Insaif, Muhammad Imtiaz Hossain, Joarder Kamruzzaman:
A machine learning approach for prediction of pregnancy outcome following IVF treatment. Neural Comput. Appl. 32(7): 2283-2297 (2020)
2010 – 2019
- 2019
- [j14]Abdu Gumaei, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Abdulhameed Alelaiwi, Giancarlo Fortino:
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification. IEEE Access 7: 36266-36273 (2019) - [j13]Md. Rafiul Hassan, Md Sarwar Morshedul Haque, Muhammad Imtiaz Hossain, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi:
A novel cascaded deep neural network for analyzing smart phone data for indoor localization. Future Gener. Comput. Syst. 101: 760-769 (2019) - 2018
- [j12]Md. Rafiul Hassan, Abdullah Al Mamun, Muhammad Imtiaz Hossain, Md. Arifuzzaman:
Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence. Comput. Intell. Neurosci. 2018: 7525789:1-7525789:9 (2018) - 2017
- [j11]Tarek Helmy, Muhammad Imtiaz Hossain, Abdulazeez Abdulraheem, S. M. Rahman, Md. Rafiul Hassan, Amar Khoukhi, Moustafa Elshafei:
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. Neural Comput. Appl. 28(4): 635-649 (2017) - [c14]Md. Mamunur Rashid, Joarder Kamruzzaman, Iqbal Gondal, Md. Rafiul Hassan:
Periodic Associated Sensor Patterns Mining from Wireless Sensor Networks. ICONIP (5) 2017: 247-255 - [c13]Md Sarwar Morshedul Haque, Md. Rafiul Hassan, Galal M. BinMakhashen, A. H. Owaidh, Joarder Kamruzzaman:
Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble. ISDA 2017: 702-711 - 2016
- [j10]Emad Y. Ramadan, Sadiq Al-Insaif, Md. Rafiul Hassan:
Network topology measures for identifying disease-gene association in breast cancer. BMC Bioinform. 17(S-7): 274 (2016) - [j9]Mohammad Iqbal Bin Shahid, Joarder Kamruzzaman, Md. Rafiul Hassan:
Modeling multiuser spectrum allocation for cognitive radio networks. Comput. Electr. Eng. 52: 266-283 (2016) - 2013
- [j8]Mustafizur Rahman, Md. Rafiul Hassan, Rajiv Ranjan, Rajkumar Buyya:
Adaptive workflow scheduling for dynamic grid and cloud computing environment. Concurr. Comput. Pract. Exp. 25(13): 1816-1842 (2013) - [j7]Md. Rafiul Hassan, Kotagiri Ramamohanarao, Joarder Kamruzzaman, Mustafizur Rahman, M. Maruf Hossain:
A HMM-based adaptive fuzzy inference system for stock market forecasting. Neurocomputing 104: 10-25 (2013) - [j6]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman:
Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)]. Neurocomputing 122: 545 (2013) - 2012
- [j5]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley, Joarder Kamruzzaman:
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction. Neurocomputing 81: 1-11 (2012) - 2011
- [c12]Md. Golam Rabbani, Joarder Kamruzzaman, Iqbal Gondal, Iftekhar Ahmad, Md. Rafiul Hassan:
Dynamic Resource Allocation for Improved QoS in WiMAX/WiFi Integration. SNPD (Selected Papers) 2011: 141-156 - 2010
- [j4]Md. Rafiul Hassan, M. Maruf Hossain, Rezaul K. Begg, Kotagiri Ramamohanarao, Yos S. Morsi:
Breast-Cancer identification using HMM-fuzzy approach. Comput. Biol. Medicine 40(3): 240-251 (2010) - [c11]Md. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan K. Karmakar, M. Maruf Hossain, James Bailey:
A Novel Scalable Multi-class ROC for Effective Visualization and Computation. PAKDD (1) 2010: 107-120 - [c10]Mustafizur Rahman, Md. Rafiul Hassan, Rajkumar Buyya:
Jaccard Index based availability prediction in enterprise grids. ICCS 2010: 2707-2716
2000 – 2009
- 2009
- [j3]Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Geoff MacIntyre, Joshua Wing Kei Ho, Kotagiri Ramamohanarao:
A voting approach to identify a small number of highly predictive genes using multiple classifiers. BMC Bioinform. 10(S-1) (2009) - [j2]Md. Rafiul Hassan:
A combination of hidden Markov model and fuzzy model for stock market forecasting. Neurocomputing 72(16-18): 3439-3446 (2009) - [c9]Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey, Kotagiri Ramamohanarao:
Feature Weighted SVMs Using Receiver Operating Characteristics. SDM 2009: 497-508 - 2008
- [c8]M. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley:
Forecasting Urban Air Pollution Using HMM-Fuzzy Model. PAKDD 2008: 572-581 - [c7]Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao:
Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics. ECML/PKDD (1) 2008: 489-504 - [c6]M. Maruf Hossain, Md. Rafiul Hassan, James Bailey:
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. SDM 2008: 455-465 - [c5]Md. Rafiul Hassan, M. Maruf Hossain, Chandan K. Karmakar, Michael Kirley:
Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation. SEAL 2008: 41-50 - 2007
- [j1]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley:
A fusion model of HMM, ANN and GA for stock market forecasting. Expert Syst. Appl. 33(1): 171-180 (2007) - 2006
- [c4]Md. Rafiul Hassan, Rezaul K. Begg, Simon Taylor, Dinesh K. Kumar:
HMM-Fuzzy Model for Recognition of Gait Changes due to Trip-related Falls. EMBC 2006: 1216-1219 - [c3]Md. Rafiul Hassan, Baikunth Nath, Michael Kirley:
HMM based Fuzzy Model for Time Series Prediction. FUZZ-IEEE 2006: 2120-2126 - [p1]Rezaul K. Begg, Md. Rafiul Hassan:
Artificial Neural Networks in Smart Homes. Designing Smart Homes 2006: 146-164 - 2005
- [c2]Md. Rafiul Hassan, Baikunth Nath:
Data compression using huffman coding - a novel approach. IADIS AC 2005: 143-148 - [c1]Md. Rafiul Hassan, Baikunth Nath:
StockMarket Forecasting Using Hidden Markov Model: A New Approach. ISDA 2005: 192-196
Coauthor Index
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