Results 11 to 20 of about 635,011 (264)

On the automatic parameter selection for permutation entropy [PDF]

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
Permutation Entropy (PE) is a cost effective tool for summarizing the complexity of a time series. It has been used in many applications including damage detection, disease forecasting, detection of dynamical changes, and financial volatility analysis.
Audun Myers, Firas A. Khasawneh
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Calibration of Model Parameters for Soda Saline Soil-Subsoiling Component Interaction Based on DEM

Applied Sciences, 2023
To apply the discrete element method (DEM) to simulate the interaction process between soda saline–alkali soil and subsoiling component in Northeast China, establishing the soda saline–alkali soil particle model and selecting more accurate simulation ...
Min Liu, Jingli Wang, Weizhi Feng, Haiyang Jing, Yang Wang, Yingjie Guo, Tianyue Xu   +6 more
doaj   +1 more source

Parameter Selection of Direct Modulation Semiconductor Laser for Shaping Current Based on Convolutional Neural Network

IEEE Photonics Journal, 2022
The shaping current technology can efficiently and low-costly suppress the relaxation oscillations (ROs) of the direct modulation semiconductor laser (DML) for the high-performance optic system.
Qing-An Ding, Huixin Liu, Xiaojuan Wang, Gaoyang Zhu, Liuge Du, Xudong Cheng, Li Zheng, Junkai Li, Qunying Yang   +8 more
doaj   +1 more source

Qualitative Classification of Lubricating Oil Wear Particle Morphology Based on Coaxial Capacitive Sensing Network and SVM

Sensors, 2022
In addition to lubricating and cooling, aero-engine lubricating oil is also a transport medium for wear particles generated by mechanical wear. Online identification of the number and shape of wear particles is an important means to directly determine ...
Ling Zhu, Xiangwen Xiao, Diheng Wu, Yishou Wang, Xinlin Qing, Wendong Xue   +5 more
doaj   +1 more source

The Effect of Threshold Values and Weighting Factors on the Association between Entropy Measures and Mortality after Myocardial Infarction in the Cardiac Arrhythmia Suppression Trial (CAST)

Entropy, 2016
Heart rate variability (HRV) is a non-invasive measurement based on the intervals between normal heart beats that characterize cardiac autonomic function. Decreased HRV is associated with increased risk of cardiovascular events.
Christopher Mayer, Martin Bachler, Andreas Holzinger, Phyllis K. Stein, Siegfried Wassertheurer   +4 more
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Analysis to Input Current Zero Crossing Distortion of Bridgeless Rectifier Operating under Different Power Factors

Energies, 2018
The principles and operating characteristics of bridgeless rectifiers under different power factors are discussed with emphasis on analyzing the input current distortion. Firstly, two driving modes are analyzed and compared.
Jinqi Liu, Yizhou Liu, Yuan Zhuang, Cong Wang   +3 more
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Demographic Parameters and Natural Selection [PDF]

Proceedings of the National Academy of Sciences, 1974
This paper introduces two new demographic parameters, the entropy and the reproductive potential of a population. The entropy of a population measures the variability of the contribution of the different age classes to the stationary age distribution. The reproductive potential measures the mean of the contribution of the different age classes to the ...
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Selection of Model Parameters for Off-Line Parameter Estimation [PDF]

IEEE Transactions on Control Systems Technology, 2004
Mechanistic dynamic models often contain unknown parameters whose values are difficult to determine even with highly specialized laboratory experiments. A practical approach is to estimate such parameters from available process data. Typically only a subset of the parameters can be estimated due to restrictions imposed by the model structure, lack of ...
Li, RJ, Henson, MA, Kurtz, MJ
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Optimized Metabotype Definition Based on a Limited Number of Standard Clinical Parameters in the Population-Based KORA Study

Life, 2022
The aim of metabotyping is to categorize individuals into metabolically similar groups. Earlier studies that explored metabotyping used numerous parameters, which made it less transferable to apply.
Chetana Dahal, Nina Wawro, Christa Meisinger, Taylor A. Breuninger, Barbara Thorand, Wolfgang Rathmann, Wolfgang Koenig, Hans Hauner, Annette Peters, Jakob Linseisen   +9 more
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Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection

Sensors, 2021
The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
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