Search Results - (( developing construction risk algorithm ) OR ( java implication based algorithm ))

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

    Published 2015
    “…The general objective of this study is to carry out a Risk Assessment for Safety and Health (RASH) algorithm for building construction in Oman and to develop a calculation methodology to evaluate safety and health. …”
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    Thesis
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    Neural network diagnostic system for dengue patients risk classification by Faisal, T., Taib, M.N., Ibrahim, Fatimah

    Published 2012
    “…Therefore, this study aims to construct a noninvasive diagnostic system to assist the physicians for classifying the risk in dengue patients. …”
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    Article
  4. 4

    Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks by Mohammed Omer, Anwar

    Published 1999
    “…Risks are inherently present In all construction projects. …”
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    Thesis
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    Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI by Ahmed Al-Azazi, Saleem, Alawag, Aawag Mohsen, Saif, Amin

    Published 2026
    “…Artificial Intelligence (AI) is poised to revolutionize construction project management, offering unprecedented gains in efficiency, scheduling, and risk assessment. …”
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    Article
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    Identification and analysis of hoisting safety risk factors for IBS construction based on the AcciMap and cases study by Junjia, Yin, Alias, Aidi Hizami, Haron, Nuzul Azam, Abu Bakar, Nabilah

    Published 2024
    “…By combining Rasmussen's risk framework with the characteristics of hoisting construction, six risk domains and thirty-six safety risk factors were identified. …”
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    Article
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    Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

    Published 2020
    “…Behaviour is affected by various risk factors and the successful implementation of construction projects depends on effective management of the key risk factors part of which is a personal factor. …”
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    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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    Developments of Contactless Width Measurement Units by Mohd Izani, Muhammad Izulfikrie

    Published 2021
    “…In the process of site measurement, workers will be exposed towards potential risk and hazard especially on construction site. …”
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    Final Year Project
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    Deep continual learning for predicting blast-induced overbreak in tunnel construction / He Biao by He , Biao

    Published 2024
    “…Tunnel construction, a critical component of modern infrastructure development, faces the persistent challenge of blast-induced overbreak. …”
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    Forecasting Tourism Market for Fiji based on Indicator Approach by Soh, Ann Ni

    Published 2019
    “…The aim of this study is to construct a tourism cycle indicator (TCI) to anticipate the cyclical movements of tourism development. …”
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    Thesis
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    Construction of tourism cycle indicator : a signalling tool for tourism market dynamics by Soh, Ann Ni, Puah, Chin Hong, Mohammad Affendy, Bin Arip

    Published 2019
    “…Turning points are detected using Bry-Boschan (BB) dating algorithm. This study explored the possibility of a TCI to capture the information needed for policy planning, risk monitoring and community development. …”
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    Development of Lightning Protection System (LPS) Designing Tool by Idris, Samueil

    Published 2015
    “…The tool would be developed and conducted by using Microsoft Excel 2010 since the algorithm was fit to be formulated in this software. …”
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    Final Year Project
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    Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients by Faisal, T., Taib, M.N., Ibrahim, F.

    Published 2012
    “…Bioelectrical Impedance Analysis measurements, Symptoms and Signs presented with dengue patients were incorporated with Adaptive Neuro-Fuzzy Inference System (ANFIS) to construct two diagnostic models. The first model was developed by systematically optimizing the initial ANFIS model parameters while the second model was developed by employing the subtractive clustering algorithm to optimize the initial ANFIS model parameters. …”
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