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1
Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The finding reveals that the Weibull distribution is well-suited to describing the investment behaviour of the MPS based on the estimates via the SA algorithm. …”
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Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior
Published 2013“…For the Weibull model with right censoring and unknown shape, the full conditional distribution for the scale and shape parameters are obtained via Gibbs sampling and Metropolis-Hastings algorithm from which the survival function and hazard function are estimated. …”
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Statistical modeling of the electromechanical behaviour of BI-2223 composite wires
Published 2024text::Final Year Project -
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Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
Published 2004“…From the simulation study for this particular case, we can conclude that Weibull distribution describes well the nature of the model concerned as compared to the exponential distribution in terms of the mean value of parameter estimates, bias, and the root means square error. …”
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5
Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
Published 2015“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
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Tag clouds algorithm with the inclusion of personality traits
Published 2015“…In addition, a prototype was developed to evaluate the proposed algorithm. Then, user satisfaction was conducted in order to evaluate this prototype using Q-SAFI instruments. …”
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7
Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor
Published 2019“…Evaluation for this study is to evaluate the of reliability result of recommendation engine by using the approach algorithm. …”
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8
VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…This is difTerent from existing Interactive Genetic Algorithm in which selection and evaluation of solutions is done by the users. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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A new algorithm on Graphical User Authentication (GUA) based on multi-line grids
Published 2010“…Finally, a comparison of the newly proposed algorithm and previous algorithms will be evaluated in a table.…”
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Performance evaluation of vertical handoff in fourth generation (4G) networks model
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12
The Evaluation of Cyclostationarity-Based Spectrum Sensing in Multipath Fading Channel
Published 2010“…These algorithms were developed in context of WRAN 802.22; the first cognitive radio standard, for TV-PAL and wireless microphone as the primary users. …”
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Evaluation of Current Music Synthesis Software for Rendering of Various Synthesis Algorithms
Published 2000“…For experienced users, Csound is preferred over Cool Edit Pro. Conclusions drawn from this research finding is that different software approaches fulfill different kinds of user expectations depending on user experience.…”
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14
QoS evaluation of different TCPs congestion control algorithm using NS2
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Evaluation of cloud brokering algorithms in cloud based data center
Published 2015“…In this paper, two new cloud brokering algorithms, and their initial evaluation, are proposed.…”
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Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
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Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network
Published 2017“…The OPNET simulator and the mathematical model were used to evaluate the performance for the proposed algorithm. …”
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19
Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Published 2025“…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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Performance evaluation of uncoordinated beamforming over cognitive radio network
Published 2012“…This paper presents the two strategies of jointlyoptimized uncoordinated beamforming algorithms for cognitive radio networks. Here, we evaluate the performance of signal-tointerference-plus-noise ratio (SINR) and achievable sum rate of the system when both primary and secondary users transmit concurrently over the same spectrum. …”
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