Md. Rafiul Hassan
Orcid: 0000-0001-6381-3816
According to our database1,
Md. Rafiul Hassan
authored at least 52 papers
between 2005 and 2024.
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Bibliography
2024
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment.
CoRR, 2024
2023
Adversarial Robustness in Graph-Based Neural Architecture Search for Edge AI Transportation Systems.
IEEE Trans. Intell. Transp. Syst., August, 2023
Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System.
IEEE Trans. Comput. Soc. Syst., August, 2023
Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., April, 2023
Explainable indoor localization of BLE devices through RSSI using recursive continuous wavelet transformation and XGBoost classifier.
Future Gener. Comput. Syst., April, 2023
Blockchain-Based Privacy-Preserving Authentication Model Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2023
An Interpretive Perspective: Adversarial Trojaning Attack on Neural-Architecture-Search Enabled Edge AI Systems.
IEEE Trans. Ind. Informatics, 2023
Energy Cooperation Among Sustainable Base Stations in Multi-Operator Cellular Networks.
IEEE Access, 2023
2022
A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19.
J. Supercomput., 2022
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2022
Understanding the impact on convolutional neural networks with different model scales in AIoT domain.
J. Parallel Distributed Comput., 2022
Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion.
Inf. Fusion, 2022
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence.
Future Gener. Comput. Syst., 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.
Complex., 2022
Big Data Res., 2022
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture.
Algorithms, 2022
2021
B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction.
IEEE Netw., 2021
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment.
IEEE Internet Things J., 2021
A predictive intelligence approach to classify brain-computer interface based eye state for smart living.
Appl. Soft Comput., 2021
A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems.
IEEE Access, 2021
2020
A machine learning approach for prediction of pregnancy outcome following IVF treatment.
Neural Comput. Appl., 2020
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids.
Appl. Soft Comput., 2020
2019
A novel cascaded deep neural network for analyzing smart phone data for indoor localization.
Future Gener. Comput. Syst., 2019
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification.
IEEE Access, 2019
2018
Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence.
Comput. Intell. Neurosci., 2018
2017
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models.
Neural Comput. Appl., 2017
Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble.
Proceedings of the Intelligent Systems Design and Applications, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Comput. Electr. Eng., 2016
BMC Bioinform., 2016
2013
Neurocomputing, 2013
Erratum to "A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction" [Neurocomputing, 81 (2012) (1-11)].
Neurocomputing, 2013
Concurr. Comput. Pract. Exp., 2013
2012
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction.
Neurocomputing, 2012
2011
Proceedings of the Software Engineering, 2011
2010
Proceedings of the International Conference on Computational Science, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
2009
Neurocomputing, 2009
A voting approach to identify a small number of highly predictive genes using multiple classifiers.
BMC Bioinform., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
2008
Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data.
Proceedings of the SIAM International Conference on Data Mining, 2008
Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
2007
Expert Syst. Appl., 2007
2006
Proceedings of the Designing Smart Homes, The Role of Artificial Intelligence, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005
Data compression using huffman coding - a novel approach.
Proceedings of the AC 2005, 2005