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Md. 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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last updated on 2024-08-23 19:23 CEST by the dblp team
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