Md. Shamsul Huda
Orcid: 0000-0001-7848-0508
According to our database1,
Md. Shamsul Huda
authored at least 62 papers
between 2006 and 2023.
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Bibliography
2023
Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique.
Sensors, July, 2023
Correction to: A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19.
J. Supercomput., June, 2023
A Privacy Frequent Itemsets Mining Framework for Collaboration in IoT Using Federated Learning.
ACM Trans. Sens. Networks, May, 2023
Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., April, 2023
Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time.
Sensors, March, 2023
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning.
IEEE Access, 2023
Non Functional Requirements Identification and Classification Using Transfer Learning Model.
IEEE Access, 2023
IEEE Access, 2023
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection.
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
An Industry-4.0-Complaint Sustainable Bitcoin Model Through Optimized Transaction Selection and Sustainable Block Integration.
IEEE Trans. Ind. Informatics, 2022
An Edge Tier Task Offloading to Identify Sources of Variance Shifts in Smart Grid Using a Hybrid of Wrapper and Filter Approaches.
IEEE Trans. Green Commun. Netw., 2022
Hand Gesture Recognition with Symmetric Pattern under Diverse Illuminated Conditions Using Artificial Neural Network.
Symmetry, 2022
An Advanced Boundary Protection Control for the Smart Water Network Using Semisupervised and Deep Learning Approaches.
IEEE Internet Things J., 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
2021
An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model.
IEEE Trans. Ind. Informatics, 2021
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment.
IEEE Internet Things J., 2021
Future Gener. Comput. Syst., 2021
A predictive intelligence approach to classify brain-computer interface based eye state for smart living.
Appl. Soft Comput., 2021
An Efficient, Hybrid Authentication Using ECG and Lightweight Cryptographic Scheme for WBAN.
IEEE Access, 2021
IEEE Access, 2021
2020
Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model.
IEEE Trans. Ind. Informatics, 2020
A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection.
J. Netw. Comput. Appl., 2020
An adaptive framework against android privilege escalation threats using deep learning and semi-supervised approaches.
Appl. Soft Comput., 2020
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids.
Appl. Soft Comput., 2020
Avoiding Future Digital Extortion Through Robust Protection Against Ransomware Threats Using Deep Learning Based Adaptive Approaches.
IEEE Access, 2020
IEEE Access, 2020
2019
Automatic extraction and integration of behavioural indicators of malware for protection of cyber-physical networks.
Future Gener. Comput. Syst., 2019
2018
A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network.
J. Parallel Distributed Comput., 2018
J. Medical Syst., 2018
Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction.
Inf. Fusion, 2018
A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection.
Future Gener. Comput. Syst., 2018
Future Gener. Comput. Syst., 2018
Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks.
Appl. Soft Comput., 2018
An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction.
IEEE Access, 2018
2017
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data.
Inf. Sci., 2017
Exponentially weighted control charts to monitor multivariate process variability for high dimensions.
Int. J. Prod. Res., 2017
A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression.
Concurr. Comput. Pract. Exp., 2017
A parallel framework for software defect detection and metric selection on cloud computing.
Clust. Comput., 2017
2016
Hybrids of support vector machine wrapper and filter based framework for malware detection.
Future Gener. Comput. Syst., 2016
A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis.
IEEE Access, 2016
2014
Hybrid Metaheuristic Approaches to the Expectation Maximization for Estimation of the Hidden Markov Model for Signal Modeling.
IEEE Trans. Cybern., 2014
A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process.
Eur. J. Oper. Res., 2014
2013
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy.
Artif. Intell. Medicine, 2013
2011
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011
Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011
A Reinforcement Learning Approach with Spline-Fit Object Tracking for AIBO Robot's High Level Decision Making.
Proceedings of the Software Engineering, 2011
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Thirty-Fourth Australasian Computer Science Conference, 2011
2010
Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems.
Proceedings of the Pacific Asia Conference on Information Systems, 2010
Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Fourth International Conference on Network and System Security, 2010
Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy.
Proceedings of the Fourth International Conference on Network and System Security, 2010
2009
A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modeling.
IEEE Trans. Syst. Man Cybern. Part B, 2009
A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model.
Pattern Recognit. Lett., 2009
Process Performance Evaluation Using Evolutionary Algorithm.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009
2007
A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
2006
A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals.
Proceedings of the Advances in Data Mining, 2006