Support vector machine based estimation of remaining useful life: current research status and future trends

HZ Huang, HK Wang, YF Li, L Zhang, Z Liu - Journal of Mechanical …, 2015 - Springer
Estimation of remaining useful life (RUL) is helpful to manage life cycles of machines and to
reduce maintenance cost. Support vector machine (SVM) is a promising algorithm for …

Chaotic local search-based differential evolution algorithms for optimization

S Gao, Y Yu, Y Wang, J Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants

WM Ashraf, GM Uddin, HA Ahmad, MA Jamil… - Energy Conversion and …, 2022 - Elsevier
A large power generation facility is a complex multi-criteria system associated with
multivariate couplings, high dependency, and non-linearity among the operating variables …

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

Y Park, KH Cho, J Park, SM Cha, JH Kim - Science of the Total Environment, 2015 - Elsevier
Abstract Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a
waterbody, such as algal blooms that degrade the water quality in lakes, reservoirs and …

Enhanced motor imagery based brain-computer interface via FES and VR for lower limbs

S Ren, W Wang, ZG Hou, X Liang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Motor imagery based brain-computer interface (MI-BCI) has been studied for improvement of
patients' motor function in neurorehabilitation and motor assistance. However, the difficulties …

Parameter extraction of solar cell models using mutative-scale parallel chaos optimization algorithm

X Yuan, Y Xiang, Y He - Solar Energy, 2014 - Elsevier
To simulate solar cell systems or to optimize photovoltaic (PV) system performance, accurate
parameter values of solar cell systems are extremely crucial. In this article, the parameter …

[PDF][PDF] Determination of optimal SVM parameters by using GA/PSO.

Y Ren, G Bai - J. Comput., 2010 - Citeseer
The use of support vector machine (SVM) for function approximation has increased over the
past few years. Unfortunately, the practical use of SVM is limited because the quality of SVM …

TASM: technocrat ARIMA and SVR model for workload prediction of web applications in cloud

P Singh, P Gupta, K Jyoti - Cluster Computing, 2019 - Springer
Workload patterns of cloud applications are changing regularly. The workload prediction
model is key for auto-scaling of resources in a cloud environment. It is helping with cost …

Hybrid parallel chaos optimization algorithm with harmony search algorithm

X Yuan, J Zhao, Y Yang, Y Wang - Applied Soft Computing, 2014 - Elsevier
The application of chaotic sequences can be an interesting alternative to provide search
diversity in an optimization procedure, named chaos optimization algorithm (COA). Since the …

Model optimization of SVM for a fermentation soft sensor

G Liu, D Zhou, H Xu, C Mei - Expert Systems with Applications, 2010 - Elsevier
Support Vector Machine (SVM) is a novel machine-learning method of soft sensor modeling
in fermentation process, which has the ability to approximate nonlinear process with …