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Publicité

Amir H. Behzadan ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Sakib, Md Nazmus / Chaspari, Theodora / Behzadan, Amir H. (2021): A feedforward neural network for drone accident prediction from physiological signals. Dans: Smart and Sustainable Built Environment, v. 11, n. 4 (août 2021).

    https://doi.org/10.1108/sasbe-12-2020-0181

  2. Zhu, Yimin / Jafari, Amirhosein / Behzadan, Amir H. / Issa, Raja R. A. (2024): A Roadmap to the Next-Generation Technology-Enabled Learning-Centered Environments in AEC Education. Dans: Journal of Civil Engineering Education, v. 150, n. 3 (juillet 2024).

    https://doi.org/10.1061/jceecd.eieng-1972

  3. Alizadeh Kharazi, Bahareh / Behzadan, Amir H. (2023): Mapping of 2021–2022 floods in North America from street photos with artificial intelligence. Dans: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 176, n. 4 (1 décembre 2023).

    https://doi.org/10.1680/jsmic.22.00029

  4. Cheng, Chih-Shen / Khajwal, Asim B. / Behzadan, Amir H. / Noshadravan, Arash (2023): A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. Dans: Journal of Engineering Mechanics (ASCE), v. 149, n. 9 (septembre 2023).

    https://doi.org/10.1061/jenmdt.emeng-6992

  5. Cheng, Chih‐Shen / Behzadan, Amir H. / Noshadravan, Arash (2022): Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment. Dans: Structural Control and Health Monitoring, v. 29, n. 10 (13 septembre 2022).

    https://doi.org/10.1002/stc.3019

  6. Pariafsai, Fatemeh / Behzadan, Amir H. (2021): Core Competencies for Construction Project Management: Literature Review and Content Analysis. Dans: Journal of Civil Engineering Education, v. 147, n. 4 (octobre 2021).

    https://doi.org/10.1061/(asce)ei.2643-9115.0000051

  7. Nath, Nipun D. / Chaspari, Theodora / Behzadan, Amir H. (2019): Single- and multi-label classification of construction objects using deep transfer learning methods. Dans: Journal of Information Technology in Construction, v. 24 (février 2019).

    https://doi.org/10.36680/j.itcon.2019.028

  8. Pi, Yalong / Nath, Nipun D. / Behzadan, Amir H. (2021): Detection and Semantic Segmentation of Disaster Damage in UAV Footage. Dans: Journal of Computing in Civil Engineering, v. 35, n. 2 (mars 2021).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000947

  9. Sakib, Md Nazmus / Chaspari, Theodora / Behzadan, Amir H. (2021): Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality. Dans: Journal of Computing in Civil Engineering, v. 35, n. 1 (janvier 2021).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000941

  10. Nath, Nipun D. / Behzadan, Amir H. (2020): Deep Convolutional Networks for Construction Object Detection Under Different Visual Conditions. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).

    https://doi.org/10.3389/fbuil.2020.00097

  11. Sherafat, Behnam / Ahn, Changbum R. / Akhavian, Reza / Behzadan, Amir H. / Golparvar-Fard, Mani / Kim, Hyunsoo / Lee, Yong-Cheol / Rashidi, Abbas / Rezazadeh Azar, Ehsan (2020): Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Dans: Journal of Construction Engineering and Management, v. 146, n. 6 (juin 2020).

    https://doi.org/10.1061/(asce)co.1943-7862.0001843

  12. Nath, Nipun D. / Behzadan, Amir H. / Paal, Stephanie G. (2020): Deep learning for site safety: Real-time detection of personal protective equipment. Dans: Automation in Construction, v. 112 (avril 2020).

    https://doi.org/10.1016/j.autcon.2020.103085

  13. Shirazi, Arezoo / Behzadan, Amir H. (2015): Design and Assessment of a Mobile Augmented Reality-Based Information Delivery Tool for Construction and Civil Engineering Curriculum. Dans: Journal of Professional Issues in Engineering Education and Practice, v. 141, n. 3 (juillet 2015).

    https://doi.org/10.1061/(asce)ei.1943-5541.0000229

  14. Behzadan, Amir H. / Kamat, Vineet R. (2009): Automated Generation of Operations Level Construction Animations in Outdoor Augmented Reality. Dans: Journal of Computing in Civil Engineering, v. 23, n. 6 (novembre 2009).

    https://doi.org/10.1061/(asce)0887-3801(2009)23:6(405)

  15. Behzadan, Amir H. / Kamat, Vineet R. (2007): Georeferenced Registration of Construction Graphics in Mobile Outdoor Augmented Reality. Dans: Journal of Computing in Civil Engineering, v. 21, n. 4 (juillet 2007).

    https://doi.org/10.1061/(asce)0887-3801(2007)21:4(247)

  16. Leite, Fernanda / Cho, Yong / Behzadan, Amir H. / Lee, SangHyun / Choe, Sooyoung / Fang, Yihai / Akhavian, Reza / Hwang, Sungjoo (2016): Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry. Dans: Journal of Computing in Civil Engineering, v. 30, n. 6 (novembre 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000604

  17. Nam, BooHyun / Maherinia, Hamid / Behzadan, Amir H. (2014): Mechanical characterization of asphalt tear-off roofing shingles in Hot Mix Asphalt. Dans: Construction and Building Materials, v. 50 (janvier 2014).

    https://doi.org/10.1016/j.conbuildmat.2013.08.037

  18. Akhavian, Reza / Behzadan, Amir H. (2013): Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. Dans: Journal of Construction Engineering and Management, v. 139, n. 11 (novembre 2013).

    https://doi.org/10.1061/(asce)co.1943-7862.0000775

  19. Behzadan, Amir H. / Kamat, Vineet R. (2010): Scalable Algorithm for Resolving Incorrect Occlusion in Dynamic Augmented Reality Engineering Environments. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 25, n. 1 (janvier 2010).

    https://doi.org/10.1111/j.1467-8667.2009.00601.x

  20. Behzadan, Amir H. / Kamat, Vineet R. (2013): Enabling discovery‐based learning in construction using telepresent augmented reality. Dans: Automation in Construction, v. 33 (août 2013).

    https://doi.org/10.1016/j.autcon.2012.09.003

  21. Akhavian, Reza / Behzadan, Amir H. (2014): Evaluation of queuing systems for knowledge-based simulation of construction processes. Dans: Automation in Construction, v. 47 (novembre 2014).

    https://doi.org/10.1016/j.autcon.2014.07.007

  22. Akhavian, Reza / Behzadan, Amir H. (2016): Smartphone-based construction workers' activity recognition and classification. Dans: Automation in Construction, v. 71 (novembre 2016).

    https://doi.org/10.1016/j.autcon.2016.08.015

  23. Behzadan, Amir H. / Aziz, Zeeshan / Anumba, Chimay J. / Kamat, Vineet R. (2008): Ubiquitous location tracking for context-specific information delivery on construction sites. Dans: Automation in Construction, v. 17, n. 6 (août 2008).

    https://doi.org/10.1016/j.autcon.2008.02.002

  24. Shrestha, Prabhat / Behzadan, Amir H. (2018): Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation. Dans: Journal of Construction Engineering and Management, v. 144, n. 3 (mars 2018).

    https://doi.org/10.1061/(asce)co.1943-7862.0001441

  25. Rashid, Khandakar M. / Behzadan, Amir H. (2018): Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Dans: Journal of Construction Engineering and Management, v. 144, n. 2 (février 2018).

    https://doi.org/10.1061/(asce)co.1943-7862.0001420

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