Search Results - (( probable distribution methods algorithm ) OR ( probable distribution from algorithm ))
Search alternatives:
- probable distribution »
- distribution methods »
- methods algorithm »
- distribution from »
- from algorithm »
-
1
Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
2
Fault section detection and location on distribution network using analytical voltage sags database
Published 2006“…By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. …”
Get full text
Get full text
Conference or Workshop Item -
3
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Thus, proposing the method of reestimating the dropping functions in the RED algorithm. …”
Get full text
Get full text
Thesis -
4
The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer
Published 2015“…Purpose: To identify the effect of dose calculation algorithms on the Normal Tissue Complication Probability values of thoracic cancer. …”
Get full text
Get full text
Monograph -
5
Winsorize tree algorithm for handling outliers in classification problem
Published 2016“…The identified outliers are neutralized using the Winsorize method whilst the Winsorize Gini index is then used to compute the divergences among probability distributions of the target predictor’s values until stopping criteria are met. …”
Get full text
Get full text
Get full text
Thesis -
6
Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…The activation function in this neural network model then estimated using genetic algorithms. Determination of the best factor is carried out in a genetic algorithm by combining several parameters of the crossover probability (Pc) and mutation probability (Pm). …”
Get full text
Get full text
Get full text
Article -
7
Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…A Monte Carlo simulation technique is examined and employed to overcome the computational issues arising from the intractability of the probability mass function of some mixed Poisson distributions. …”
Get full text
Get full text
Thesis -
8
-
9
Cash-flow analysis of a wind turbine operator
Published 2023“…The paper outlines a method to evaluate the distribution of WTG operator's daily cash-flow by developing an algorithm based on Monte-Carlo technique. …”
Conference Paper -
10
An impulsive noise analyser using amplitude probability distribution (APD) for broadband-wired communication
Published 2011“…The APD graph is generated by the analyser using the APD algorithm method which employs the envelope sampling technique from actual probability. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…In this study, three imputation methods are considered namely expectation-maximization (EM) algorithm and data augmentation (DA) algorithm. …”
Get full text
Get full text
Thesis -
12
Estimation of transformers health index based on condition parameter factor and hidden Markov model
Published 2018“…Subsequently, the future states probability distribution was computed based on the HMM prediction model and viterbi algorithm was applied to find the best optimal path sequence of HI for the respective observable condition. …”
Get full text
Get full text
Conference or Workshop Item -
13
Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH
Published 2021“…A hybrid population – based stochastic optimization method named MVMO-SH algorithm is proposed to optimize PVDG locations and sizes in the grid system network. …”
Get full text
Get full text
Thesis -
14
Sizing and placement of solar photovoltaic plants by using time-series historical weather data
Published 2018“…To predict the output from the PV modules, 15 years of solar data were modeled with the aid of a beta probability density function. …”
Get full text
Get full text
Article -
15
Sizing and placement of solar photovoltaic plants by using time-series historical weather data
Published 2018“…To predict the output from the PV modules, 15 years of solar data were modeled with the aid of a beta probability density function. …”
Get full text
Get full text
Article -
16
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…In the literature, a variety of semiparametric inference procedures are suggested by previous research for estimating the parameters of AFT models with censored data, and rank-based methods are popular among all. The main difficulty with the existing rank-based methods is that they involve nonparametric estimation of the probability distribution of the model’s error terms. …”
Get full text
Get full text
Get full text
Thesis -
17
-
18
-
19
Transformer asset management based on Markov Prediction Model utilizing health index
Published 2019“…The maintenance costs were estimated based on future-state distribution probabilities according to the developed MPM and the proposed maintenance policy model. …”
Get full text
Get full text
Thesis -
20
Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems
Published 2017“…The intermittency of wind speed and solar irradiance are handled with multi-state modeling using suitable probability distribution functions. The three objective functions, i.e., power loss reduction, voltage stability improvement, and voltage deviation minimization are optimized using advanced Pareto-front non-dominated sorting multi-objective particle swarm optimization method. …”
Get full text
Get full text
Article
