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Joarder Kamruzzaman
Joarder Kamruzzaman
Professor of Information Technology & Director, Centre for Smart Analytics, Federation University
Verifierad e-postadress på federation.edu.au - Startsida
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Survey of intrusion detection systems: techniques, datasets and challenges
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman
Cybersecurity 1 (2), 1-22, 2019
13652019
A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data
R Begg, J Kamruzzaman
Journal of biomechanics 38 (3), 401-408, 2005
3932005
Search and tracking algorithms for swarms of robots: A survey
M Senanayake, I Senthooran, JC Barca, H Chung, J Kamruzzaman, ...
Robotics and Autonomous Systems 75, 422-434, 2016
2442016
A novel ensemble of hybrid intrusion detection system for detecting internet of things attacks
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab
Electronics 8 (11), 1210, 2019
2202019
z-SVM: An SVM for improved classification of imbalanced data
T Imam, KM Ting, J Kamruzzaman
AI 2006: Advances in Artificial Intelligence: 19th Australian Joint …, 2006
2052006
Forecasting of currency exchange rates using ANN: A case study
J Kamruzzaman, RA Sarker
International Conference on Neural Networks and Signal Processing, 2003 …, 2003
1882003
Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait
J Kamruzzaman, RK Begg
IEEE Transactions on Biomedical Engineering 53 (12), 2479-2490, 2006
1832006
Artificial neural networks in finance and manufacturing
J Kamruzzaman, R Sarker, R Begg
IGI Global, 2006
181*2006
Hybrid intrusion detection system based on the stacking ensemble of c5 decision tree classifier and one class support vector machine
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab
Electronics 9 (1), 173, 2020
1732020
Energy-balanced transmission policies for wireless sensor networks
AKM Azad, J Kamruzzaman
IEEE Transactions on Mobile Computing 10 (7), 927-940, 2010
1642010
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
MM Rashid, J Kamruzzaman, MM Hassan, T Imam, S Gordon
International Journal of Environmental Research and Public Health 17 (24), 9347, 2020
1232020
Low-power wide-area networks: Design goals, architecture, suitability to use cases and research challenges
B Buurman, J Kamruzzaman, G Karmakar, S Islam
IEEE Access 8, 17179-17220, 2020
1192020
Attacks on self-driving cars and their countermeasures: A survey
A Chowdhury, G Karmakar, J Kamruzzaman, A Jolfaei, R Das
IEEE Access 8, 207308-207342, 2020
1182020
A machine learning approach for prediction of pregnancy outcome following IVF treatment
MR Hassan, S Al-Insaif, MI Hossain, J Kamruzzaman
Neural computing and applications 32 (7), 2283-2297, 2020
912020
ANN-based forecasting of foreign currency exchange rates
J Kamruzzaman, RA Sarker
Neural Information Processing-Letters and Reviews 3 (2), 49-58, 2004
912004
Evolutionary optimization (EvOpt): a brief review and analysis
R Sarker, J Kamruzzaman, C Newton
International Journal of Computational Intelligence and Applications 3 (04 …, 2003
882003
A tree-based stacking ensemble technique with feature selection for network intrusion detection
M Rashid, J Kamruzzaman, T Imam, S Wibowo, S Gordon
Applied Intelligence 52 (9), 9768-9781, 2022
862022
SVM based models for predicting foreign currency exchange rates
J Kamruzzaman, RA Sarker, I Ahmad
Third IEEE international conference on data mining, 557-560, 2003
862003
Exclusive use spectrum access trading models in cognitive radio networks: A survey
MR Hassan, GC Karmakar, J Kamruzzaman, B Srinivasan
IEEE Communications Surveys & Tutorials 19 (4), 2192-2231, 2017
822017
Inchoate fault detection framework: Adaptive selection of wavelet nodes and cumulant orders
MF Yaqub, I Gondal, J Kamruzzaman
IEEE Transactions on instrumentation and Measurement 61 (3), 685-695, 2011
782011
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Artiklar 1–20