Results 251 to 260 of about 856,497 (271)

Extended fuzzy c-means and genetic algorithms to optimize power flow management in hybrid electric vehicles

Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003., 2003
Most of the features of the future hybrid electric vehicles are enabled by a new energy flow management unit designed to split the instantaneous power demand between the internal combustion engine and the electric motor, ensuring both an efficient power supply and a reduced emission.
IPPOLITO, Lucio, LOIA, Vincenzo, SIANO, PIERLUIGI   +2 more
openaire   +2 more sources

A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms

Engineering Applications of Artificial Intelligence, 2013
One of the simple techniques for Data Clustering is based on Fuzzy C-means (FCM) clustering which describes the belongingness of each data to a cluster by a fuzzy membership function instead of a crisp value. However, the results of fuzzy clustering depend highly on the initial state selection and there is also a high risk for getting the best results ...
Mohammad Taherdangkoo, Mohammad Hadi Bagheri   +1 more
openaire   +1 more source

Cultural Sociology in Mexico: Meaning-Making as Hybridization, Power, and Cultural Structure

Cultural Sociology
This article analyzes how, at a very early stage, Mexican cultural sociologists explained meaning-making processes using a set of factors external to the cultural sphere and how, more recently, they have emphasized that such meaning-making processes have analytical autonomy.
openaire   +1 more source

BAYESIAN STUDY OF HYBRID WEIBULLEXPONENTIAL POWER MODEL BY MEANS OF HAMILTONIAN MONTE CARLO ALGORITHM

In this paper, we derived two important properties, viz: moment and order statistics, for the Hybrid Weibull-Exponential Power actuarial reliability model. We considered Bayesian procedures for estimating the parameters of the model. We tested the performance of the estimation approach by means of simple Monte Carlo experiment, hence, found the ...
M. A. Alhassan, A. Yahaya, O. O. Ishaq, B. Abba, A. B. Muhammad   +4 more
openaire   +1 more source

Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

Intelligent Data Analysis
Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout’s distributed machine-learning environment. The study taps into Apache Hadoop’s robust tools for data storage and processing, including HDFS and MapReduce, to ...
Ahmed Hadi Ali AL-Jumaili, Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Mandeep Jit Singh, Johnny Koh Siaw Paw, Abdulmajeed Al-Jumaily   +5 more
openaire   +1 more source

A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security

IEEE Transactions on Industrial Informatics, 2022
Lingling Lv, Lei Zhang, Zhiyuan Tan
exaly  

Thermal CAD of power hybrid devices using light computer means

IEE Proceedings G (Electronic Circuits and Systems), 1988
A. Napieralski, F. Pompignac
openaire   +1 more source

Hybrid power mean of 2kth power inversion of L-functions, trigonometric sums and general quartic Gauss sums

International Journal of Mathematics Trends and Technology, 2020
Shikha Singh, Jagmohan Tanti
openaire   +1 more source

Temperature dependent power capability estimation of lithium-ion batteries for hybrid electric vehicles

Energy, 2016
Fangdan Zheng, Jiuchun Jiang, Weige Zhang   +2 more
exaly