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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies
Published 2020“…This study uses the quantitative method to identify the individual factors influencing contractors’ risk attitude and the moderating role of government policy among construction companies in Malaysia. …”
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An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration
Published 2018“…This paper discusses bit selection by employing a method of combining Artificial Neural Network (ANN) and the computation of Genetic Algorithm (GA). …”
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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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Real-Time Detection of Personal Protective Equipment for Site Safety Using Deep Learning Techniques
Published 2022“…This paper presents a deep learning technique for detecting multiple personal protection equipment at once based on You-Only-Look-Once Version 4 (YOLOv4) object detection algorithm. …”
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Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test
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Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach
Published 2016“…Survey instruments were administered to major stakeholders in the construction industry comprising of project clients, contractors and consultants using proportionate stratified random sampling method. …”
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Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks
Published 1999“…The merge event bias as one of the essential problems associated with PERT is discussed, along with models and approaches developed by other researchers, namely, Probabilistic Network Evaluation Technique (PNET algorithm), Modified PNET, Back-Forward Uncertainly Estimation procedure (BFUE) and concept based on the robust reliability idea. …”
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