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Publications

Found 351 results
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2019
Barg, S., Flager, F. & Fischer, M. Exploring Methods to Quantitatively Compare Optimization Techniques for Building Envelope Design. (2019). at <https://purl.stanford.edu/kt315yx6941>
Song, M. & Fischer, M. Iterative Formalization of Smallest Workface Boundary for Generating Daily Bills of Materials. (2019). at <https://purl.stanford.edu/sf833vg3046>
2018
Zhang, Z., Hamledari, H., Billington, S. & Fischer, M. 4D Beyond Construction: Spatio-Temporal and Life-Cyclic Modeling and Visualization of Infrastructure Data. (2018). at <https://purl.stanford.edu/zk193gk2221>
Nutkiewicz, A., Yang, Z. & Jain, R. Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow. Applied Energy 225 (2018) 1176-1189, (2018).
Song, M. & Fischer, M. Generating Bills of Materials for Daily Work Orders Consisting of Made-to-stock Materials. (2018). at <https://purl.stanford.edu/rb035fq5117>
Ranalli, F., Flager, F. & Fischer, M. A Ground Structure Method to Minimize the Total Installed Cost of Steel Frame Structures. World Academy of Science, Engineering and Technology, International Science Index 134, International Journal of Civil and Environmental Engineering 12, (2018).
Garcia-Lopez, N. & Fischer, M. A Model for Managing Construction Activities and Flows. (2018). at <https://purl.stanford.edu/cs947pp1073>
Johnson, T., Peterson, F., Myers, M., Taube, R. Silver & Fischer, M. Predicting, Analyzing, and Educating on Wage Theft with Machine Learning Tools. (2018). at <https://purl.stanford.edu/mx396wr3611>
Hamledari, H. et al. UAV Mission Planning Using Swarm Intelligence and 4D BIMs in Support of Vision-Based Construction Progress Monitoring and As-Built Modeling. (2018). at <https://purl.stanford.edu/mz896pd9320>
Hamledari, H. et al. UAV-Enabled Site-to-BIM Automation: Aerial Robotic-and Computer Vision-Based Development of As-Built/As-Is BIMs and Quality Control. (2018). at <https://purl.stanford.edu/jr719nd4444>
Gupta, K., Yang, Z. & Jain, R. Urban Data Integration (UDI) using Proximity Relationship Learning for Design, Management and Operations of Sustainable Urban Systems. (2018). at <https://purl.stanford.edu/dq583pv0055>
Hall, D. & Levitt, R. Which Project Integration Strategies Deliver High Performance Projects?. (2018). at <https://purl.stanford.edu/by862mp7407>
2017
Barg, S., Flager, F. & Fischer, M. An Analytical Method to Estimate the Total Installed Cost of Steel Frames during Early Design. (2017). at <https://purl.stanford.edu/yb503ws4475>
Zhao, N., Kam, C., Lo, J., Kim, J. In & Fischer, M. Construction Parts in Building Construction Projects: Definition and Case Study. (2017). at <https://purl.stanford.edu/wx965qw8486>
Garcia-Lopez, N. & Fischer, M. A Critical Assessment of the Support Offered by Current Construction Models for Managing Workflow in the Field. (2017). at <https://purl.stanford.edu/rx089yn5765>
Hamledari, H. et al. Evaluation of Computer Vision-and 4D BIM-based Construction Progress Tracking on a UAV Platform. (2017). at <https://purl.stanford.edu/wh873cw2351>
Hamledari, H. IFC-Enabled Site-to-BIM Automation: An Interoperable Approach Toward the Integration of Unmanned Aerial Vehicle (UAV)-Captured Reality into BIM. (2017). at <https://purl.stanford.edu/gf324nd7978>
Grey, F. & Fruchter, R. Modelling the Dynamic Interaction between Building Performance and Occupant Well-being. (2017). at <https://purl.stanford.edu/km423nf8049>
2016
Kam, C., Senaratna, D., McKinney, B., Xiao, Y. & Song, M. The VDC Scorecard: Formulation and Validation. (2016). at <https://purl.stanford.edu/xd249sp3509>
2015
Chu, M. Ling, Parigi, P., Law, K. & Latombe, J. - C. A Computational Framework Incorporating Human and Social Behaviors for Occupant-centric Egress Simulation. (2015). at <https://purl.stanford.edu/jw835rf0798>
Hippe, A., Becker, A., Fischer, M. & Schwegler, B. Estimation of Cost Required to Elevate US Ports in Response to Climate Change: A Thought Exercise for Climate Critical Resources. (2015). at <https://purl.stanford.edu/rm328fb1292>
Peterson, F. A Study of Input and Output Field Quantification in Heavy Civil Construction. (2015). at <https://purl.stanford.edu/tc251vf6444>
2014
Abraham, K., Flager, F., Macedo, J., Gerber, D. & Lepech, M. Enhancing Pre-Construction Decision-Making on Sustainable Commercial Building Projects. (2014). at <https://purl.stanford.edu/qn758pg5219>
Mehdizadeh, R., Fischer, M. & Celoza, A. LEED and Energy Efficiency: Do Owners Game the System?. (2014). at <https://purl.stanford.edu/jx532ch4767>
2013
Yuventi, J. & Mehdizadeh, R. A Critical Analysis of Power Usage Effectiveness and Its Use as Data Center Energy Sustainability Metrics. (2013). at <https://purl.stanford.edu/yz143cs2917>

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