يعرض 1 - 20 نتائج من 70 نتيجة بحث عن '(( risk modelling algorithm ) OR ((( element data algorithm ) OR ( element cscap algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers حسب Yousef, Hibba

    منشور في 2024
    "…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …"
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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    Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm حسب A. Hamdi (17906918)

    منشور في 2025
    "…The model presented in this paper applies the Gibson-Schwartz commodity model under the risk-neutral measure, enabling regime-switching in the convenience yield and spot price dynamics. …"
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    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms حسب Abdelouahed Hamdi (14158899)

    منشور في 2022
    "…It was found that when solving the Mean-CVaR model with evolutionary algorithms, the risk decreased. …"
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    Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

    منشور في 2023
    "…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …"
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    Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

    منشور في 2022
    "…With the increased severity, intensity, and frequency of “heatwaves” due to climate change, it has become imperative to study the overheating risks in existing buildings. To do so, a building simulation model needs to be calibrated based on measured indoor temperatures under the current weather conditions. …"
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    An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models حسب K. Mukilan (22224793)

    منشور في 2024
    "…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. Conventional construction models typically optimize only a single objective, such as time, cost, or delay, which may not effectively enhance overall performance. …"
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    A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

    منشور في 2021
    "…The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through education and offloading. …"
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    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

    منشور في 2020
    "…This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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    Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints حسب Bashar Hassna (19170940)

    منشور في 2024
    "…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …"
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    XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

    منشور في 2012
    "…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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