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    Next Generation Artificial Neural Networks for Civil Engineering 

    Source: Journal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 005
    Author(s): Ian Flood
    Publisher: American Society of Civil Engineers
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    Constructability Feedback Systems: Issues and Illustrative Prototype 

    Source: Journal of Performance of Constructed Facilities:;1997:;Volume ( 011 ):;issue: 004
    Author(s): Nabil Kartam; Ian Flood
    Publisher: American Society of Civil Engineers
    Abstract: Heuristic construction knowledge generated while contracting is seldom recorded and transferred to other workers. Experiences of past mistakes as well as efficient work practices are crucial means for saving money, time, ...
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    Neural Networks in Civil Engineering. I: Principles and Understanding 

    Source: Journal of Computing in Civil Engineering:;1994:;Volume ( 008 ):;issue: 002
    Author(s): Ian Flood; Nabil Kartam
    Publisher: American Society of Civil Engineers
    Abstract: This is the first of two papers providing a discourse on the understanding, usage, and potential for application of artificial neural networks within civil engineering. The present paper develops an understanding of how ...
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    Neural Networks in Civil Engineering. II: Systems and Application 

    Source: Journal of Computing in Civil Engineering:;1994:;Volume ( 008 ):;issue: 002
    Author(s): Ian Flood; Nabil Kartam
    Publisher: American Society of Civil Engineers
    Abstract: The first paper of this two‐paper series developed an understanding of how artificial neural networks work and explained the primary issues involved in their use. This second paper demonstrates the versatility of neural ...
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    Special Issue on the 2014 International Conference on Computing in Civil and Building Engineering 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 005
    Author(s): Raja R. A. Issa; Ian Flood
    Publisher: American Society of Civil Engineers
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    Special Issue on 2012 International Conference on Computing in Civil Engineering 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 005
    Author(s): Raja R. A. Issa; Ian Flood
    Publisher: American Society of Civil Engineers
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    Empirical Modeling Methodologies for Construction 

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 001
    Author(s): Ian Flood; Raja R. A. Issa
    Publisher: American Society of Civil Engineers
    Abstract: The paper provides a review of empirical modeling and its application within construction engineering and management. The scope of application and trends in use of this approach are first assessed, and the potential for ...
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    Simulating the Thermal Behavior of Buildings Using Artificial Neural Networks-Based Coarse-Grain Modeling 

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 003
    Author(s): Ian Flood; Raja R A Issa; Caesar Abi-Shdid
    Publisher: American Society of Civil Engineers
    Abstract: This paper reports on the development of a new approach for simulating the thermal behavior of buildings that overcome the limitations of conventional heat-transfer simulation methods such as the finite difference method ...
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    Prediction of Financial Contingency for Asphalt Resurfacing Projects using Artificial Neural Networks 

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 001
    Author(s): Sang C. Lhee; Raja R. A. Issa; Ian Flood
    Publisher: American Society of Civil Engineers
    Abstract: Historically, actual construction costs have tended to exceed initial cost estimates and budgets. Often this discrepancy is significant enough to cause problems such as depletions of budgets, disputes, and reductions in ...
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    Information Technology in Civil Engineering—Future Trends 

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 003
    Author(s): James H. Garrett, Jr.; Ian Flood; Ian F. C. Smith; Lucio Soibelman
    Publisher: American Society of Civil Engineers
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