Optimal design of the proton-exchange membrane fuel cell connected to the network utilizing an improved version of the metaheuristic algorithm

X Guo, N Ghadimi - Sustainability, 2023 - mdpi.com
Fuel cells are a newly developed source for generating electric energy. These cells produce
electricity through a chemical reaction between oxygen and hydrogen, which releases …

DeepLG SecNet: Utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments

M Nanjappan, K Pradeep, G Natesan, A Samydurai… - Cluster …, 2024 - Springer
The rapid proliferation of the Internet of Things (IoT) has led to a significant surge in
interconnected devices across diverse domains, ranging from smart homes and healthcare …

Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things

Y Tang, Y Liang, Y Liu, J Zhang, L Ni, L Qi - Future Generation Computer …, 2024 - Elsevier
Federated learning, a promising distributed machine learning paradigm, has been used in
various Internet of Things (IoT) environments to solve isolated data island issues and protect …

Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network

X Dai, K Yi, F Wang, C Cai, W Tang - Measurement, 2024 - Elsevier
To address the challenges posed by early weak fault signals hindering fault feature
extraction and leading to diminished recognition accuracy in deep learning models, we …

A lightweight mini-batch federated learning approach for attack detection in IoT

MS Ahmad, SM Shah - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) has recently gained importance in many fields. The use
of IoT in different fields leads to an increase in a wide variety of network attacks. Many …

Novel MLI-based DVR and DSTATCOM with ANFIS control for enhanced power quality improvement

B Rekha - Electric Power Systems Research, 2024 - Elsevier
This paper proposed a novel multi-level inverter and a hybrid renewable energy source
integrated dynamic voltage restorer and static synchronous compensator to reduce grid …

Anomalous process detection for Internet of Things based on K-Core

Y Chang, T Hu, F Lou, T Zeng, M Yin, S Yang - Frontiers in Physics, 2024 - frontiersin.org
In recent years, Internet of Things security incidents occur frequently, which is often
accompanied by malicious events. Therefore, anomaly detection is an important part of …

Data analysis algorithm for internet of things based on federated learning with optical technology

V Tiwari, S Ananthakumaran, MR Shree… - Optical and Quantum …, 2024 - Springer
Abstract As the Internet of Things (IoT) progresses, federated learning (FL), a decentralized
machine learning framework that preserves every participant's data privacy, has grown in …

Multi-strategy Improved Pelican Optimization Algorithm for Mobile Robot Path Planning

CQ Li, ZF Jiang, YP Huang - Information Technology and Control, 2024 - itc.ktu.lt
In response to the problems of easily falling into local optima, low path planning accuracy,
and slow convergence speed when applying the traditional pelican optimization algorithm to …

[PDF][PDF] Using Machine Learning to Classify Network Abnormalities into Legitimate or Assault in IoT-based Cyber Physical System

S Afrifa, V Varadarajan, P Appiahene… - Sensors and Electronic …, 2023 - researchgate.net
The use of Internet of Things (IoT) devices is a result of the massive number of messages
carried through the internet. One of the most serious IoT threats is the botnet attack, which …