H. Karamollaoğlu Et Al. , "An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques," Information Technology and Control , vol.53, no.1, pp.243-261, 2024
Karamollaoğlu, H. Et Al. 2024. An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques. Information Technology and Control , vol.53, no.1 , 243-261.
Karamollaoğlu, H., DOĞRU, İ. A., & Yücedağ, İ., (2024). An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques. Information Technology and Control , vol.53, no.1, 243-261.
Karamollaoğlu, Hamdullah, İBRAHİM ALPER DOĞRU, And İbrahim Yücedağ. "An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques," Information Technology and Control , vol.53, no.1, 243-261, 2024
Karamollaoğlu, Hamdullah Et Al. "An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques." Information Technology and Control , vol.53, no.1, pp.243-261, 2024
Karamollaoğlu, H. DOĞRU, İ. A. And Yücedağ, İ. (2024) . "An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques." Information Technology and Control , vol.53, no.1, pp.243-261.
@article{article, author={Hamdullah Karamollaoğlu Et Al. }, title={An Efficient Deep Learning-based Intrusion Detection System for Internet of Things Networks with Hybrid Feature Reduction and Data Balancing Techniques}, journal={Information Technology and Control}, year=2024, pages={243-261} }