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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. …”
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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. …”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
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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. …”
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Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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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. …”
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Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models
Published 2013“…Bayes theorem was used to determine the probability of belonging to each district in every components of the mixture distribution. …”
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Solving the vehicle routing problem with stochastic demands via hybrid genetic algorithm-tabu search
Published 2008“…Results from the experiment show the advantages of the proposed algorithm that are its robustness and better solution qualities resulted…”
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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. …”
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A maintenance cost study of transformers based on Markov model utilizing frequency of transition approach
Published 2018“…The future states of transformers are determined based on the MM chain algorithm. Finally, the maintenance costs are estimated based on future-state distribution probabilities according to the proposed maintenance policy model. …”
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A MAINTENANCE COST STUDY OF TRANSFORMERS BASED ON MARKOV MODEL UTILIZING FREQUENCY OF TRANSITION APPROACH
Published 2018“…The future states of transformers are determined based on the MM chain algorithm. Finally, the maintenance costs are estimated based on future-state distribution probabilities according to the proposed maintenance policy model. …”
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Winsorize tree algorithm for handling outliers in classification problem
Published 2016“…This study proposes a modified classification tree algorithm called Winsorize tree based on the distribution of classes in the training dataset. …”
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Evaluation of MAC's distributed queuing algorithm for Internet of things applications
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The simulation results for the first and second models are done using the data obtained from Malaysia distribution network (DISCO-Net) and 69 bus test system that were implemented using Java Agent Development Framework package software. …”
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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. …”
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