Search Results - (( java implication based algorithm ) OR ( programming using risk algorithm ))
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The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
Published 2004“…CoRGA was used to try and identify the best combination of risk factors for 4-year all-cause mortality. …”
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Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.]
Published 2023“…This study highlights the potential of machine learning algorithms in predicting private investor interest in PPP programs, providing a tool for managing political risks and encouraging greater private sector participation.…”
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Small Farmers' Decisions: Utility Versus Profit Maximization
Published 1982“…The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries
Published 2018“…For this purpose, operation impact, operation flexibility, maintenance cost, impact of safety and environment and frequency parameters had been considered as input; and using this model, the risk level is calculated. Utilizing genetic algorithms, the structures of all self-organizing systems are optimized. …”
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Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
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Final Year Project Report / IMRAD -
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Divorce prediction using Naive Bayes / Alia Hannani Ahmad Bakri
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Thesis -
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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Student Project -
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A fuzzy multi-objective optimisation model of risk-based gas detector placement methodology for explosion protection in oil and gas facilities
Published 2022“…By using mixed-integer linear programming (MILP) formulation, the number of detectors needed are lower with higher risk reductions compared to the GA formulation. …”
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Backward reduction application for minimizing wind power scenarios in stochastic programming
Published 2023“…In order to make informed decisions in the presence of uncertainties, risk management problems of power utilities may be modelled by multistage stochastic programs. …”
Conference Paper -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management
Published 2009“…The two stage stochastic risk model is then reformulated using Mean Absolute Deviation as the risk measure. …”
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Final Year Project -
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management
Published 2009“…The two stage stochastic risk model is then reformulated using MeanAbsolute Deviation as the risk measure. …”
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Final Year Project
