Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review

HJ Kaleybar, M Davoodi, M Brenna, D Zaninelli - IEEE Access, 2023 - ieeexplore.ieee.org
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …

Detection of forest fire using deep convolutional neural networks with transfer learning approach

HC Reis, V Turk - Applied Soft Computing, 2023 - Elsevier
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …

A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

J Wang, Y An, Z Li, H Lu - Energy, 2022 - Elsevier
Accurate wind speed prediction has become increasingly important in wind power
generation. However, the lack of efficient data preprocessing techniques and integration …

Advanced hybrid metaheuristic machine learning models application for reference crop evapotranspiration prediction

RMA Ikram, RR Mostafa, Z Chen, ARMT Islam, O Kisi… - Agronomy, 2022 - mdpi.com
Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …

Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning

Y Xia, C Zhang, C Wang, H Liu, X Sang, R Liu… - … and Underground Space …, 2023 - Elsevier
Ultraviolet cured-in-place-pipe (UV-CIPP) materials are commonly used in trenchless
pipeline rehabilitation. Their bending strength is a crucial indicator to evaluate the curing …

Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning

G Li, Y Li, C Fang, J Su, H Wang, S Sun, G Zhang, J Shi - Energy, 2023 - Elsevier
The safety of the supercharged boiler affects the normal operation of the steam power
system, while its fault samples are few and contain large noise in reality. Therefore, we …

Interpretable machine learning models for punching shear strength estimation of FRP reinforced concrete slabs

Y Shen, J Sun, S Liang - Crystals, 2022 - mdpi.com
Fiber reinforced polymer (FRP) serves as a prospective alternative to reinforcement in
concrete slabs. However, similarly to traditional reinforced concrete slabs, FRP reinforced …

Slope stability prediction method based on intelligent optimization and machine learning algorithms

Y Yang, W Zhou, IM Jiskani, X Lu, Z Wang, B Luan - Sustainability, 2023 - mdpi.com
Slope engineering is a type of complex system engineering that is mostly involved in water
conservancy and civil and mining engineering. Moreover, the link between slope stability …

Aero-engine gas path system health assessment based on depth digital twin

L Zhou, H Wang, S Xu - Engineering Failure Analysis, 2022 - Elsevier
Aero-engine health assessment is of great significance for accurately understanding the
health status of aircraft, supporting maintenance decision-making and ensuring flight safety …

Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow

W Lu, Y Zhang, P Li, T Wang - Engineering Applications of Artificial …, 2023 - Elsevier
It is critical for the management and control of urban rail transit (URT) to be able to predict
passenger flow accurately and in real time. Considering that the high-resolution data …