H Ma, P Yang, F Wang, X Wang, D Yang, B Feng - Energies, 2023 - mdpi.com
In order to effectively carry out the heavy overload monitoring and maintenance of public transformers in the distribution network, ensure the reliability of the distribution network …
Z Wang, Z Xu, D He, S Chan - Soft Computing, 2021 - Springer
Intrusion detection is an important means to deal with network attacks. The traditional neural network needs to preprocess the sample data in intrusion detection, which may cause the …
L Hasimi, D Zavantis, E Shakshuki, A Yasar - Procedia Computer Science, 2024 - Elsevier
Deep learning techniques have shown significant impact in enhancing security across various domains by leveraging artificial neural networks models. When applied to cloud …
MS Hossain, D Ghose, AM Partho… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Now that Internet access is so widely used, our society has a greater number of networked technologies. Data travels between them because of their daily activities. Due to the server's …
WM Oboya, AW Gichuhi… - Journal of Data …, 2023 - classical.goforpromo.com
Intrusion Detection Systems (IDS) are pivotal in safeguarding computer networks from malicious activities. This study presents a novel approach by proposing a Hybrid Dense …
SK Dhara, N Bhanja… - Intelligent Decision …, 2023 - content.iospress.com
Most common asymptomatic arrhythmia that significantly leads to death and morbidity is Atrial Fibrillation (AF). It has the ability to extract valuable features is necessary for AF …
NA Azeez, II Osamagbe… - Covenant …, 2024 - journals.covenantuniversity.edu.ng
In the context of cybersecurity, effective intrusion detection plays a crucial role in safeguarding computer networks and systems from malicious activities. The motivation for …
The rapid development of Internet of Things (IoT) technology has brought great convenience to people's life. However, the security protection capability of IoT is weak and vulnerable …