Ian Flood

32 papers C 3Misc 8Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Optimization and evaluation of a neural network based policy for real-time control of construction factory processes.
J. Inf. Technol. Constr.
Xiaoyan Zhou, Ian Flood
2023 J jnl
Machine learning approaches to determining truck type from bridge loading response.
J. Inf. Technol. Constr.
Yueren Wang, Ian Flood
2023 C conf
Optimization of a Deep Reinforcement Learning Policy for Construction Manufacturing Control.
SIMULTECH
Ian Flood, Xiaoyan Zhou
2022 C conf
Intelligent Control of Construction Manufacturing Processes using Deep Reinforcement Learning.
SIMULTECH
Ian Flood, Paris D. L. Flood
2021 J jnl
Framework for a Blockchain-Based Infrastructure Project Financing System.
IEEE Access
Yuanxin Zhang, Zeyu Wang, Jiaying Deng, Zaijing Gong, Ian Flood, Yueren Wang
2018 C conf
Monte Carlo based Risk Analysis of Unmanned Aerial Vehicle Flights over Construction Job Sites.
SIMULTECH
Hashem Izadi Moud, Alireza Shojaei, Ian Flood, Xun Zhang
2016 Misc conf
Analysis tools for stormwater controls on construction sites.
WSC
Jintaek Ock, Raja R. A. Issa, Ian Flood
2016 Misc conf
Smart Building Energy Management Systems (BEMS) simulation conceptual framework.
WSC
Jintaek Ock, Raja R. A. Issa, Ian Flood
2016 J jnl
Special Issue on the 2014 International Conference on Computing in Civil and Building Engineering.
J. Comput. Civ. Eng.
Raja R. A. Issa, Ian Flood
2016 J jnl
Using particle swarm optimization to predict cost contingency on transportation construction projects.
J. Inf. Technol. Constr.
Sang C. Lhee, Raja R. A. Issa, Ian Flood
2015 Misc conf
Empirically-based modelling approaches to the truck weigh-in-motion problem.
WSC
Yueren Wang, Ian Flood
2014 J jnl
Development of a two-step neural network-based model to predict construction cost contingency.
J. Inf. Technol. Constr.
Sang C. Lhee, Ian Flood, Raja R. A. Issa
2014 Misc conf
Modeling construction manufacturing processes using foresight.
WSC
Ian Flood
2014 J jnl
Special Issue on 2012 International Conference on Computing in Civil Engineering.
J. Comput. Civ. Eng.
Raja R. A. Issa, Ian Flood
2013 — —
Graph theoretic methods for radio equipment selection.
Ian Flood
2011 Misc conf
Foresight: a graphically based approach to modeling construction processes.
WSC
Ian Flood
2010 Misc conf
Foresight versus simulation: Construction planning using graphical constraint-based modeling.
WSC
Ian Flood
2009 Misc conf
A Hierarchical Constraint-based Approach to Modeling Construction and Manufacturing Processes.
WSC
Ian Flood
2009 J jnl
Modeling blast wave propagation using artificial neural network methods.
Adv. Eng. Informatics
Ian Flood, Bryan T. Bewick, Robert J. Dinan, Hani A. Salim
2008 J jnl
Towards the next generation of artificial neural networks for civil engineering.
Adv. Eng. Informatics
Ian Flood
2007 Misc conf
Project planning using an interactive, structured modeling environment.
WSC
Ian Flood
2006 — conf
Next Generation Artificial Neural Networks and Their Application to Civil Engineering.
EG-ICE
Ian Flood
2003 J jnl
A survey of e-business implementation in the US construction industry.
J. Inf. Technol. Constr.
Raja R. A. Issa, Ian Flood, Gul Caglasin
1999 J jnl
Modeling dynamic engineering processes using radial-Gaussian neural networks.
J. Intell. Fuzzy Syst.
Ian Flood
1999 J jnl
Queuing network analysis for waterways with artificial neural networks.
Artif. Intell. Eng. Des. Anal. Manuf.
Liang Zhu, Paul M. Schonfeld, Yeon Myung Kim, Ian Flood, Ching-Jung Ting
1998 J jnl
A Binary Classifier with applications to poorly defined engineering problems.
Artif. Intell. Eng. Des. Anal. Manuf.
Ian Flood, Nabil A. Kartam
1998 J jnl
Modelling earthquake accelerograms using neural networks and linear predictors.
Artif. Intell. Eng. Des. Anal. Manuf.
Ian Flood, Nicolas Gagarin, Nabil A. Kartam
1997 J jnl
Construction project control using artificial neural networks.
Artif. Intell. Eng. Des. Anal. Manuf.
H. Al-Tabtabai, Nabil A. Kartam, Ian Flood, A. P. Alex
1996 J jnl
Simulating the behavior of poorly understood continua using neural networks.
Artif. Intell. Eng. Des. Anal. Manuf.
Ian Flood
1995 J jnl
An artificial neural network approach to discrete-event simulation.
Artif. Intell. Eng. Des. Anal. Manuf.
Ian Flood, Kenneth Worley
1995 J jnl
Integrating knowledge-based systems and artificial neural networks for engineering.
Artif. Intell. Eng. Des. Anal. Manuf.
Nabil A. Kartam, Ian Flood, Tanit Tongthong
1995 J jnl
Performing calculus operations on poorly understood engineering functions using neural networks.
Artif. Intell. Eng. Des. Anal. Manuf.
Ian Flood