Ian Flood - researchr alias

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Viewing Publication 1 - 32 from 32

2024

Optimization and evaluation of a neural network based policy for real-time control of construction factory processesXiaoyan Zhou, Ian Flood. itcon, 29:84-98, 2024. [doi]

2023

Optimization of a Deep Reinforcement Learning Policy for Construction Manufacturing ControlIan Flood, Xiaoyan Zhou. simultech 2023: 82-91 [doi]

Machine learning approaches to determining truck type from bridge loading responseYueren Wang, Ian Flood. itcon, 28:346-359, 2023. [doi]

2022

Intelligent Control of Construction Manufacturing Processes using Deep Reinforcement LearningIan Flood, Paris D. L. Flood. simultech 2022: 112-122 [doi]

2021

Framework for a Blockchain-Based Infrastructure Project Financing SystemYuanxin Zhang, Zeyu Wang, Jiaying Deng, Zaijing Gong, Ian Flood, Yueren Wang. access, 9:141555-141570, 2021. [doi]

2018

Monte Carlo based Risk Analysis of Unmanned Aerial Vehicle Flights over Construction Job SitesHashem Izadi Moud, Alireza Shojaei, Ian Flood, Xun Zhang. simultech 2018: 451-458 [doi]

2016

2015

Empirically-based modelling approaches to the truck weigh-in-motion problemYueren Wang, Ian Flood. wsc 2015: 3288-3297 [doi]

2014

Modeling construction manufacturing processes using foresightIan Flood. wsc 2014: 3331-3340 [doi]

Special Issue on 2012 International Conference on Computing in Civil EngineeringRaja R. A. Issa, Ian Flood. jccee, 28(5), 2014. [doi]

Development of a two-step neural network-based model to predict construction cost contingencySang C. Lhee, Ian Flood, Raja R. A. Issa. itcon, 19:399-411, 2014. [doi]

2013

Graph theoretic methods for radio equipment selectionIan Flood. PhD thesis, Cardiff University, UK, 2013. [doi]

2011

Foresight: a graphically based approach to modeling construction processesIan Flood. wsc 2011: 3472-3483 [doi]

2010

Foresight versus simulation: Construction planning using graphical constraint-based modelingIan Flood. wsc 2010: 3015-3024 [doi]

2009

Modeling blast wave propagation using artificial neural network methodsIan Flood, Bryan T. Bewick, Robert J. Dinan, Hani A. Salim. aei, 23(4):418-423, 2009. [doi]

A Hierarchical Constraint-based Approach to Modeling Construction and Manufacturing ProcessesIan Flood. wsc 2009: 2583-2592 [doi]

2008

Towards the next generation of artificial neural networks for civil engineeringIan Flood. aei, 22(1):4-14, 2008. [doi]

2007

Project planning using an interactive, structured modeling environmentIan Flood. wsc 2007: 2019-2027 [doi]

2006

Next Generation Artificial Neural Networks and Their Application to Civil EngineeringIan Flood. egice 2006: 206-221 [doi]

2003

A survey of e-business implementation in the US construction industryRaja R. A. Issa, Ian Flood, Gul Caglasin. itcon, 8:15-28, 2003. [doi]

1999

Modeling dynamic engineering processes using radial-Gaussian neural networksIan Flood. jifs, 7(4):373-385, 1999. [doi]

Queuing network analysis for waterways with artificial neural networksLiang Zhu, Paul Schonfeld, Yeon Myung Kim, Ian Flood, Ching-Jung Ting. aiedam, 13(5):365-375, 1999. [doi]

1998

Modelling earthquake accelerograms using neural networks and linear predictorsIan Flood, Nicolas Gagarin, Nabil A. Kartam. aiedam, 12(3):243-258, 1998. [doi]

A Binary Classifier with applications to poorly defined engineering problemsIan Flood, Nabil A. Kartam. aiedam, 12(3):259-272, 1998. [doi]

1997

Construction project control using artificial neural networksH. Al-Tabtabai, Nabil A. Kartam, Ian Flood, A. P. Alex. aiedam, 11(1):45-57, 1997. [doi]

1996

Simulating the behavior of poorly understood continua using neural networksIan Flood. aiedam, 10(5):391-400, 1996. [doi]

1995

Performing calculus operations on poorly understood engineering functions using neural networksIan Flood. aiedam, 9(5):419-426, 1995. [doi]

An artificial neural network approach to discrete-event simulationIan Flood, Kenneth Worley. aiedam, 9(1):37-49, 1995. [doi]

Integrating knowledge-based systems and artificial neural networks for engineeringNabil A. Kartam, Ian Flood, Tanit Tongthong. aiedam, 9(1):13-22, 1995. [doi]

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