Results 21 to 30 of about 30,221 (235)

General Small-Signal Modeling and Parameter Optimization of the Soft Normally-Open Point Connected to the Distribution Network [PDF]

open access: yesIEEE Access, 2021
The soft normally-open point (SNOP) is a multi-terminal power electronic device installed between two or more feeders in the low and medium voltage distribution network, which can adjust the active power and reactive power between the feeders. A small-signal model of SNOP connected to the distribution network is established.
Zhibi Lyu   +3 more
openaire   +2 more sources

Optimal B-Robust Estimators for the Parameters of the Generalized Half-Normal Distribution

open access: yesRevstat Statistical Journal, 2017
The purpose of this study is to propose robust estimators by using optimal B-robust (OBR) estimation method (Hampel et al. [5]) for the parameters of the generalized half-normal (GHN) distribution. After given the robust estimators, we provide a small simulation study to compare its performance with the estimators obtained from maximum likelihood (ML ...
Dogru, Fatma Zehra   +2 more
openaire   +3 more sources

Shadow prices for continuous processes [PDF]

open access: yes, 2015
In a financial market with a continuous price process and proportional transaction costs we investigate the problem of utility maximization of terminal wealth.
Czichowsky, Christoph   +2 more
core   +2 more sources

Optimal Uncertainty Quantification [PDF]

open access: yes, 2012
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront.
Bentkus V.   +18 more
core   +2 more sources

Optimizing economic and operational performance in AC microgrids: An intelligent energy management strategy for BESS using the Generalized Normal Distribution Optimizer

open access: yesResults in Engineering
Marco Alonso Llanos-Pino   +4 more
openaire   +3 more sources

Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach [PDF]

open access: yes, 2018
Recurrent neural networks have demonstrated to be good at tackling prediction problems, however due to their high sensitivity to hyper-parameter configuration, finding an appropriate network is a tough task.
G Litjens   +8 more
core   +1 more source

Likelihood based observability analysis and confidence intervals for predictions of dynamic models [PDF]

open access: yes, 2011
Mechanistic dynamic models of biochemical networks such as Ordinary Differential Equations (ODEs) contain unknown parameters like the reaction rate constants and the initial concentrations of the compounds. The large number of parameters as well as their
Kreutz, Clemens   +2 more
core   +3 more sources

Optimal Whole Slide Image Segmentation Using Generalized Normal Distribution Optimization

open access: yesInternational Research Journal on Advanced Engineering Hub (IRJAEH)
Whole slide image (WSI) segmentation is a crucial task aiding tumour and cancerous cell diagnosis. Generalized Normal Distribution Optimization (GNDO) algorithm is adopted for whole slide image segmentation based on thresholding in this paper. GNDO algorithm utilizes the generalized normal distribution's properties to determine the ideal thresholds for
null K.P. Shivamurthy   +1 more
openaire   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy