K-means and meta-heuristic algorithms for intrusion detection systems
M Maazalahi, S Hosseini - Cluster Computing, 2024 - Springer
In this research paper, we propose a two-stage hybrid approach that uses machine learning
techniques and meta-heuristic algorithms. The first step, known as data preparation …
techniques and meta-heuristic algorithms. The first step, known as data preparation …
Fuzzy Controller Designed Based Multilevel Inverter for Power Quality Enhancement
The use of renewable energy seems to be vital as the demand for electricity power rises
quickly. But the traditional electric power grid is not able to face the challenges raised by the …
quickly. But the traditional electric power grid is not able to face the challenges raised by the …
Evaluation Method of Multi-energy Sustainable Development Potential Based on Distributed Model
L Xie, X Ma, S Chen - Process Integration and Optimization for …, 2024 - Springer
Distributed power equipment is a type of power supply equipment that is completely based
on the idea of energy cascade utilization. To address electricity and environmental issues, it …
on the idea of energy cascade utilization. To address electricity and environmental issues, it …
Feature Extraction and Ranking using Fuzzy-Ksi for Network Intrusion Detection using a Krill Herd Optimized Neural Network
I Bhateja, P Chaturvedi, K Thakran… - … on Intelligent Systems …, 2024 - ieeexplore.ieee.org
The rising frequency of cyberattacks highlights the urgent need for reliable network intrusion
detection systems (NIDS). High dimensionality data present problems for existing NIDS …
detection systems (NIDS). High dimensionality data present problems for existing NIDS …