Search Results - (( time estimation methods algorithm ) OR ( data distribution process algorithm ))
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Parameter-driven count time series models / Nawwal Ahmad Bukhari
Published 2018“…Simulation shows that MCEM algorithm and particle method are useful for the parameter estimation of the Poisson model. …”
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An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…The results revealed that the proposed method had the ability to deal with kinetic parameters estimation in terms of time consumption and distance minimization.…”
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Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…A popular distribution for the modelling of discrete count data is the Poisson distribution. …”
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4
Predicting the popularity of tweets using the theory of point processes.
Published 2019“…The MaSEPTiDE approach shows highly accurate tweet popularity predictions compared to state-of the- art approaches, especially at shorter censoring times. We further propose an inhomogeneous Poisson process model and an estimation method which utilizes internal and external knowledge, based on the times of historical retweets up to the censoring time, and the complete retweet sequences in the training data set respectively. …”
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UMK Etheses -
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Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
Published 2004“…A generated data where the failure times are taken as exponentially distributed are used to further compare these two parametric models. …”
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Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen
Published 2016“…The iv score functions and information matrix have been derived to measure the asymptotic standard errors and to analyze the variance-covariance relationship among the parameters. Parameter estimation with the maximum likelihood estimation via the Expectation-Maximization algorithm is discussed and compared with the conditional least squares method. …”
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7
Covariance matrix analysis in simultaneous localization and mapping
Published 2016“…In EKF-based SLAM, measurement data are required at each time step to complete the estimation process. …”
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…In this study, several algorithms are proposed to guarantee high efficiency of resource allocations among a variety of smart grid applications (flat priority based and specific priority based scheduling algorithms), such as distribution automation, voice, video surveillance and advanced metering infrastructure. …”
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Robust Kernel Density Function Estimation
Published 2010“…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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10
Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…Results were compared with extant disparity map estimation techniques, such as graph cut, dynamic programming, belief propagation, and area-based methods. …”
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…Results were compared with extant disparity map estimation techniques, such as graph cut, dynamic programming, belief propagation, and area-based methods. …”
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…This for can all model to estimate the be regarded as the major contribution as it could po ssibly elim inate the process of local data collection for the development or calibration of a local ET proposal and implementation of water 0 estimating model. …”
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Final Year Project / Dissertation / Thesis -
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Totally opportunistic routing algorithm for underwater wireless sensor network
Published 2019“…The former can be localized by utilizing any of the existing schemes, whereas for the later a Time of Arrival (ToA) based distributed 3-dimensional Euclidean distance estimation method has proposed. …”
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15
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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16
Computerised Faculty Course Timetabling with Student Sectioning
Published 2016“…Data pre-processing algorithm was carried out to predict course registration based on students' curriculum course plan and previous examination result. …”
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Hybrid FFT-ADALINE algorithm with fast estimation of harmonics in power system
Published 2016“…In the proposed method, both of the aforementioned algorithms are combined for harmonic estimation where it is able to respond immediately to any change of the measured harmonics and the settling time is reduced to half cycle of the measurement signal. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The MIKE11 model was developed based on surveyed, stream cross-section data to perform hydrodynamic simulation of the flooding process. …”
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Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Furthermore this study presents an analysis of the performance of the proposed algorithm in terms of motion estimation time, total encoding time, video quality (PSNR), and bit rate. …”
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