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Md. Shamsul Huda
Shamsul Huda
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2020 – today
- 2025
- [j58]Farhana Huq
, Nahar Sultana
Cross regional online food delivery: Service quality optimization and real-time order assignment. Comput. Oper. Res. 173: 106877 (2025) - 2024
- [j57]Lubna Kiran, Asim Zeb, Qazi Nida ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan Uddin, Muhammad Naeem, Shamsul Huda, Haitham A. Mahmoud:
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique. Frontiers Comput. Neurosci. 18 (2024) - [j56]Zainab AlJabri
MDS-Based Cloned Device Detection in IoT-Fog Network. IEEE Internet Things J. 11(12): 22128-22139 (2024) - [j55]Ali Shahidinejad
Untraceable blockchain-assisted authentication and key exchange in medical consortiums. J. Syst. Archit. 151: 103143 (2024) - [j54]Shamsul Huda
A Cyber Risk Assessment Approach to Federated Identity Management Framework-Based Digital Healthcare System. Sensors 24(16): 5282 (2024) - [j53]Ali Shahidinejad
Highly-Secure Yet Efficient Blockchain-Based CRL-Free Key Management Protocol for IoT-Enabled Smart Grid Environments. IEEE Trans. Inf. Forensics Secur. 19: 6738-6750 (2024) - [j52]Ali Shahidinejad
Anonymous lattice-based authentication protocol for vehicular communications. Veh. Commun. 48: 100803 (2024) - 2023
- [j51]Iqra Mehmood, Sidra Shahid, Hameed Hussain
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning. IEEE Access 11: 63579-63597 (2023) - [j50]Muhammad Amin Khan, Muhammad Sohail Khan, Inayat Khan, Shafiq Ahmad, Shamsul Huda:
Non Functional Requirements Identification and Classification Using Transfer Learning Model. IEEE Access 11: 74997-75005 (2023) - [j49]Akhtar Munir Khan
Near Feasibility Driven Adaptive Penalty Functions Embedded MOEA/D. IEEE Access 11: 105182-105213 (2023) - [j48]Nomica Choudhry
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection. IEEE Access 11: 114680-114713 (2023) - [j47]Asmat Ullah, Muhammad Ismail Mohmand, Hameed Hussain
Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time. Sensors 23(6): 3180 (2023) - [j46]Fazli Khaliq, Muhammad Shabir, Inayat Khan, Shafiq Ahmad, Muhammad Usman, Muhammad Zubair, Shamsul Huda:
Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique. Sensors 23(13): 6060 (2023) - [j45]Md. Golam Rabiul Alam
Feature Cloning and Feature Fusion Based Transportation Mode Detection Using Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 24(4): 4671-4681 (2023) - [j44]Md Raful Hassan, Walaa N. Ismail
Correction to: A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. J. Supercomput. 79(9): 10507-10508 (2023) - [j43]Jimmy Ming-Tai Wu
A Privacy Frequent Itemsets Mining Framework for Collaboration in IoT Using Federated Learning. ACM Trans. Sens. Networks 19(2): 27:1-27:15 (2023) - 2022
- [j42]Md. Rafiul Hassan, Md. Fakrul Islam, Md. Zia Uddin
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. Future Gener. Comput. Syst. 127: 462-472 (2022) - [j41]Md. Rafiul Hassan
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) - [j40]Shaila Sharmeen
An Advanced Boundary Protection Control for the Smart Water Network Using Semisupervised and Deep Learning Approaches. IEEE Internet Things J. 9(10): 7298-7310 (2022) - [j39]Muhammad Haroon
Hand Gesture Recognition with Symmetric Pattern under Diverse Illuminated Conditions Using Artificial Neural Network. Symmetry 14(10): 2045 (2022) - [j38]Nadeera Gnan Tilshan Gunaratne, Mali Abdollahian
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. 6(1): 329-340 (2022) - [j37]Maruf Monem
An Industry-4.0-Complaint Sustainable Bitcoin Model Through Optimized Transaction Selection and Sustainable Block Integration. IEEE Trans. Ind. Informatics 18(12): 9162-9172 (2022) - [j36]Md. Rafiul Hassan, Walaa N. Ismail
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
- [j35]Saiba Nazah
An Unsupervised Model for Identifying and Characterizing Dark Web Forums. IEEE Access 9: 112871-112892 (2021) - [j34]Zia ur Rehman
An Efficient, Hybrid Authentication Using ECG and Lightweight Cryptographic Scheme for WBAN. IEEE Access 9: 133809-133819 (2021) - [j33]Mohammad Mehedi Hassan, Md. Rafiul Hassan
A predictive intelligence approach to classify brain-computer interface based eye state for smart living. Appl. Soft Comput. 108: 107453 (2021) - [j32]Ahmed Falah, Lei Pan, Md. Shamsul Huda, Shiva Raj Pokhrel
Improving malicious PDF classifier with feature engineering: A data-driven approach. Future Gener. Comput. Syst. 115: 314-326 (2021) - [j31]Mohammad Mehedi Hassan
A Robust Deep-Learning-Enabled Trust-Boundary Protection for Adversarial Industrial IoT Environment. IEEE Internet Things J. 8(12): 9611-9621 (2021) - [j30]Mohammad Mehedi Hassan
An Adaptive Trust Boundary Protection for IIoT Networks Using Deep-Learning Feature-Extraction-Based Semisupervised Model. IEEE Trans. Ind. Informatics 17(4): 2860-2870 (2021) - 2020
- [j29]Shaila Sharmeen
Avoiding Future Digital Extortion Through Robust Protection Against Ransomware Threats Using Deep Learning Based Adaptive Approaches. IEEE Access 8: 24522-24534 (2020) - [j28]Saiba Nazah
Evolution of Dark Web Threat Analysis and Detection: A Systematic Approach. IEEE Access 8: 171796-171819 (2020) - [j27]Shaila Sharmeen, Md. Shamsul Huda, Jemal H. Abawajy, Mohammad Mehedi Hassan
An adaptive framework against android privilege escalation threats using deep learning and semi-supervised approaches. Appl. Soft Comput. 89: 106089 (2020) - [j26]Abdu Gumaei
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids. Appl. Soft Comput. 96: 106658 (2020) - [j25]Yahye Abukar Ahmed
A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection. J. Netw. Comput. Appl. 167: 102753 (2020) - [j24]Mohammad Mehedi Hassan
Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model. IEEE Trans. Ind. Informatics 16(9): 6154-6162 (2020)
2010 – 2019
- 2019
- [j23]Md. Shamsul Huda, Jemal H. Abawajy, Baker Al-Rubaie, Lei Pan
Automatic extraction and integration of behavioural indicators of malware for protection of cyber-physical networks. Future Gener. Comput. Syst. 101: 1247-1258 (2019) - [j22]Mohammad Mehedi Hassan
Human emotion recognition using deep belief network architecture. Inf. Fusion 51: 10-18 (2019) - 2018
- [j21]Md. Shamsul Huda
A Framework for Software Defect Prediction and Metric Selection. IEEE Access 6: 2844-2858 (2018) - [j20]Shaila Sharmeen, Md. Shamsul Huda
Malware Threats and Detection for Industrial Mobile-IoT Networks. IEEE Access 6: 15941-15957 (2018) - [j19]Md. Shamsul Huda
An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction. IEEE Access 6: 24184-24195 (2018) - [j18]Md. Shamsul Huda, John Yearwood, Mohammad Mehedi Hassan, Ahmad Almogren
Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks. Appl. Soft Comput. 71: 66-77 (2018) - [j17]Md. Shamsul Huda, Md. Rafiqul Islam
A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection. Future Gener. Comput. Syst. 83: 193-207 (2018) - [j16]Jemal H. Abawajy, Md. Shamsul Huda, Shaila Sharmeen, Mohammad Mehedi Hassan
Identifying cyber threats to mobile-IoT applications in edge computing paradigm. Future Gener. Comput. Syst. 89: 525-538 (2018) - [j15]Mohammad Mehedi Hassan, Md. Shamsul Huda, John Yearwood, Herbert F. Jelinek
Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction. Inf. Fusion 41: 105-118 (2018) - [j14]Mohammad Mehedi Hassan
Human Activity Recognition from Body Sensor Data using Deep Learning. J. Medical Syst. 42(6): 99:1-99:8 (2018) - [j13]Md. Shamsul Huda, Md. Suruz Miah
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. 120: 23-31 (2018) - 2017
- [j12]Md. Mohsin Ali
A parallel framework for software defect detection and metric selection on cloud computing. Clust. Comput. 20(3): 2267-2281 (2017) - [j11]Md. Shamsul Huda
A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression. Concurr. Comput. Pract. Exp. 29(23) (2017) - [j10]Nadeera Gnan Tilshan Gunaratne, Malihe Akhavan Abdollahian
Exponentially weighted control charts to monitor multivariate process variability for high dimensions. Int. J. Prod. Res. 55(17): 4948-4962 (2017) - [j9]Md. Shamsul Huda, Md. Suruz Miah
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data. Inf. Sci. 379: 211-228 (2017) - 2016
- [j8]Md. Shamsul Huda
A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis. IEEE Access 4: 9145-9154 (2016) - [j7]Md. Shamsul Huda, Jemal H. Abawajy, Mamoun Alazab
Hybrids of support vector machine wrapper and filter based framework for malware detection. Future Gener. Comput. Syst. 55: 376-390 (2016) - 2014
- [j6]Md. Shamsul Huda, Mali Abdollahian
A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process. Eur. J. Oper. Res. 237(3): 857-870 (2014) - [j5]Mamoun Alazab
A Hybrid Wrapper-Filter Approach for Malware Detection. J. Networks 9(11): 2878-2891 (2014) - [j4]Md. Shamsul Huda, John Yearwood, Roberto Togneri
Hybrid Metaheuristic Approaches to the Expectation Maximization for Estimation of the Hidden Markov Model for Signal Modeling. IEEE Trans. Cybern. 44(10): 1962-1977 (2014) - 2013
- [j3]Andrew Stranieri
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy. Artif. Intell. Medicine 58(3): 185-193 (2013) - 2011
- [c11]Md. Shamsul Huda, John Yearwood, Andrew Stranieri:
Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). ACSC 2011: 43-52 - [c10]Mali Abdollahian
Multivariate control charts for surgical procedures. ISABEL 2011: 18:1-18:5 - [c9]Subhasis Mukherjee, John Yearwood, Peter Vamplew
Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. SNPD 2011: 24-30 - [c8]Biplob R. Ray
Smart RFID Reader Protocol for Malware Detection. SNPD 2011: 64-69 - [c7]Subhasis Mukherjee, Md. Shamsul Huda, John Yearwood:
A Reinforcement Learning Approach with Spline-Fit Object Tracking for AIBO Robot's High Level Decision Making. SNPD (Selected Papers) 2011: 169-183 - 2010
- [c6]Md. Shamsul Huda, John Yearwood, Ron Borland:
Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy. NSS 2010: 383-390 - [c5]Md. Shamsul Huda, John Yearwood, Andrew Stranieri
Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). NSS 2010: 442-449 - [c4]Md. Shamsul Huda, John Yearwood, Ron Borland:
Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems. PACIS 2010: 26
2000 – 2009
- 2009
- [j2]Md. Shamsul Huda, John Yearwood, Roberto Togneri
A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model. Pattern Recognit. Lett. 30(14): 1301-1309 (2009) - [j1]Md. Shamsul Huda, John Yearwood, Roberto Togneri
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 39(1): 182-197 (2009) - [c3]Shafiq Ahmad, Md. Shamsul Huda, Sujak Bakir, Mali Abdollahian, Panlop Zeephongsekul:
Process Performance Evaluation Using Evolutionary Algorithm. IKE 2009: 731-737 - 2007
- [c2]Md. Shamsul Huda, John Yearwood, Ranadhir Ghosh:
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. ACIS-ICIS 2007: 438-443 - 2006
- [c1]Md. Shamsul Huda, Ranadhir Ghosh, John Yearwood:
A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals. ICDM 2006: 416-430
Coauthor Index
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last updated on 2025-01-21 00:16 CET by the dblp team
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