Search Results - (( risk estimation methods algorithm ) OR ( risk estimation based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…Further, it focuses on the development of various forms of local risk prediction models and simple heart risk scores using non-laboratory features and machine learning (ML) algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…The proposed HPSO algorithm aims to obtain the least number of computations with low degradation value in estimation accuracy. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Risk assessment for safety and health algorithm for building construction in Oman

    Risk assessment for safety and health algorithm for building construction in Oman by Al-Anbari, Saud Said

    Published 2015
    “…The RASH algorithm is defined by overall risk, which is equivalent to the sum of Risk Safety Safety, Risk Safety Health, Risk Health Safety, and Risk Health Health. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    A Risk Assessment of Transmission Line Overload Based on MLSI/PSO

    A Risk Assessment of Transmission Line Overload Based on MLSI/PSO by Ruhaizad, Ishak, Ali, A., Nazir, Muhammad S., Malik, Muhammad Z.

    Published 2019
    “…Based on the traditional partial swarm optimization algorithm, the corresponding weights are selected according to the influence factors of each input quantity, and the calculation accuracy of the traditional point estimation method is improved to realize the overload risk assessment of transmission lines. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Bayesian logistic regression model on risk factors of type 2 diabetes mellitus

    Bayesian logistic regression model on risk factors of type 2 diabetes mellitus by Chiaka, Emenyonu Sandra

    Published 2016
    “…The significant variables determined by maximum likelihood method were then estimated using the BLR method. The BLR approach via Gibbs sampler and the random walk metropolis algorithm suggests that family history of diabetes, waist circumference and the body mass index are the significant risk factors associated with the type 2 diabetes mellitus. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Em Approach on Influence Measures in Competing Risks Via Proportional Hazard Regression Model

    Em Approach on Influence Measures in Competing Risks Via Proportional Hazard Regression Model by Elfaki, Faiz. A. M.

    Published 2000
    “…A generated data where the failure times were taken as exponentially distributed was used to further compare these two methods of estimation. From the simulation study for this particular case, we can conclude that the EM algorithm proved to be more superior in terms of mean value of parameter estimates, bias and root mean square error. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm

    Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

    Published 2025
    journal::journal article
    Save to List
    Saved in:
  8. 8
    Data mining techniques for disease risk prediction model: A systematic literature review

    Data mining techniques for disease risk prediction model: A systematic literature review by Ahmad W.M.T.W., Ghani N.L.A., Drus S.M.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  9. 9
    Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming

    Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Sebastian, P., Hamid, N.H.B., Ahmed, E.F.

    Published 2022
    “…This article explores the efficiency of the visual sensor placement based on a combination of two methods namely, a deterministic risk estimation for the risk assessment and a dynamic programming for optimizing the placement of surveillance cameras. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Statistical process control for failure crushing time data using competing risks model

    Statistical process control for failure crushing time data using competing risks model by Elfaki, Faiz Ahmed Mohamed, Daoud, Jamal Ibrahim, Azram, Mohammad, Daud, Isa, Ibrahim, N.A., Usman, Mustofa

    Published 2011
    “…EM algorithm method is used to estimate the parameter of the model. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Statistical process control for failure crushing time data using competing risks model.

    Statistical process control for failure crushing time data using competing risks model. by Elfaki, F.A.M., Daud, Isa, Ibrahim, Noor Akma, Daud, J., Azram, M., Usman, M.

    Published 2011
    “…EM algorithm method is used to estimate the parameter of the model. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Extreme air pollutant data analysis using classical and Bayesian approaches

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
    “…This study started with the analysis of extreme PM10 data based on maximum likelihood estimation technique. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Competing risks for reliability analysis using Cox’s model

    Competing risks for reliability analysis using Cox’s model by Mohamed Elfaki, Faiz Ahmed, Daud, Isa, Ibrahim, Nor Azowa, Abdullah, M. Y., Usman, Mustofa

    Published 2007
    “…Design/methodology/approach – The parameters of the models have been estimated by method of maximum likelihood based on EM algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme

    Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme by Hamamoto, M., Rahim Md Arshad, A., Prasad Ghosh, D.

    Published 2019
    “…Therefore, we propose an FWI method based on genetic local search algorithm with hybrid-grid scheme (HGLS-FWI). …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  15. 15
    Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination

    Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination by Haspi Harun, Hanif

    Published 2021
    “…Organ dose and cancer risk were estimated by the CT-EXPO (Ver 2.5.1, Germany) and recommendation from the International Commission on Radiological Protection Publication (ICRP) 103 report respectively according to the primary beam. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation

    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

    Published 2009
    “…Bayesian classification and decision making are based on probability theory and choosing the most probable or the lowest risk. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Steady state security analysis using artificial neural network

    Steady state security analysis using artificial neural network by Mohd Nor, Nurul Huda

    Published 2008
    “…The artificial neural network (ANN)-based approach for contingency ranking. A set of feed forward neural networks are developed to estimate the voltage stability level at different load conditions for the selected contingencies. …”
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  18. 18
    Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks

    Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks by Mahzan, Shahruddin, J. Staszewski, Wieslaw, Worden, Keith

    Published 2010
    “…The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    The potential of shear wave velocity as an erosion risk index

    The potential of shear wave velocity as an erosion risk index by Abd. Rahman, Norinah, Rehman, Muhammad Ali, Zahari, Nur Afiqah, Mohd Taib, Aizat, Wan Mohtar, Wan Hanna Melini, Ramli, Ahmad Bukhari, Ibrahim, Aniza, Abang Hasbollah, Dayang Zulaika, Mitu, Sadia Mannan, Nurddin, Mohamad Faizal

    Published 2022
    “…Therefore, this study aims to develop a relation between ROM scale and shear wave velocity estimated by the spectral-analysis-of-surface-waves (SASW) method. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…The Expectation Maximization (EM) algorithm is utilized to obtain the estimate of the parameters in the models. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: