A Comprehensive Survey on Recent Feature Selection Methods for Mixed Data: Challenges, Solutions and Future Directions
ME Warkiani, MH Moattar - Neurocomputing, 2025 - Elsevier
Feature selection plays a crucial role in data analysis, pattern recognition, and machine
learning by reducing feature dimensions, improving execution time, and enhancing model …
learning by reducing feature dimensions, improving execution time, and enhancing model …
Detecting DoS Attacks through Synthetic User Behavior with Long Short-Term Memory Network
P Nędza, J Domżał - Sensors, 2024 - mdpi.com
With the escalation in the size and complexity of modern Denial of Service attacks, there is a
need for research in the context of Machine Learning (ML) used in attack execution and …
need for research in the context of Machine Learning (ML) used in attack execution and …
[HTML][HTML] International Journal of Computer Networks & Communications (IJCNC)
AM Aljohani, I Elgendi - ijcnc.com
In this paper, we suggest a new method to address attack detection problems in IoT
networks, by using a specific emphasis on the user's and network's requirements regarding …
networks, by using a specific emphasis on the user's and network's requirements regarding …