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Chung, Sehwan / Lim, Seungmo / Chang, Taeyeon / Chi, Seokho: Diagnosis of the Current Status of Smart Construction in Korea Compared to the Global Markets. In: KSCE Journal of Civil Engineering.
https://doi.org/10.1007/s12205-024-2467-4
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Kim, JungHoon / Hwang, Jeongbin / Jeong, Insoo / Chi, Seokho / Seo, JoonOh / Kim, Jinwoo (2024): Generalized vision-based framework for construction productivity analysis using a standard classification system. In: Automation in Construction, v. 165 (September 2024).
https://doi.org/10.1016/j.autcon.2024.105504
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Kim, Jungyeon / Chung, Sehwan / Chi, Seokho (2024): Cross-Lingual Information Retrieval from Multilingual Construction Documents Using Pretrained Language Models. In: Journal of Construction Engineering and Management, v. 150, n. 6 (June 2024).
https://doi.org/10.1061/jcemd4.coeng-14273
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Kim, Dae Young / Chi, Seokho (2015): Causes of Schedule Delays in Building Construction Projects in Vanuatu. In: Journal of the Korea Institute of Building Construction (한국건축시공학회지), v. 15, n. 6 (December 2015).
https://doi.org/10.5345/jkibc.2015.15.6.641
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Lee, Gyueun / Chang, Taeyeon / Chi, Seokho (2024): Data-Driven Bridge Maintenance Cost Estimation Framework for Annual Expenditure Planning. In: Journal of Management in Engineering (ASCE), v. 40, n. 2 (March 2024).
https://doi.org/10.1061/jmenea.meeng-5706
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Jang, Seongju / Lee, Gitaek / Chi, Seokho (2024): Automated noise source identification and respective level estimation on mixed-noise construction environments. In: Automation in Construction, v. 158 (February 2024).
https://doi.org/10.1016/j.autcon.2023.105239
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Chung, Sehwan / Moon, Seonghyeon / Kim, JungHoon / Kim, Jungyeon / Lim, Seungmo / Chi, Seokho (2023): Comparing natural language processing (NLP) applications in construction and computer science using preferred reporting items for systematic reviews (PRISMA). In: Automation in Construction, v. 154 (October 2023).
https://doi.org/10.1016/j.autcon.2023.105020
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Chang, Taeyeon / Lee, Gyueun / Chi, Seokho (2023): Development of an Optimized Condition Estimation Model for Bridge Components Using Data-Driven Approaches. In: Journal of Performance of Constructed Facilities (ASCE), v. 37, n. 3 (June 2023).
https://doi.org/10.1061/jpcfev.cfeng-4359
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Kim, Jinwoo / Kim, Daeho / Lee, SangHyun / Chi, Seokho (2023): Hybrid DNN training using both synthetic and real construction images to overcome training data shortage. In: Automation in Construction, v. 149 (May 2023).
https://doi.org/10.1016/j.autcon.2023.104771
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Lee, Gyueun / Lee, Gitaek / Chi, Seokho / Oh, Sewook (2023): Automatic Classification of Construction Work Codes in Bill of Quantities of National Roadway Based on Text Analysis. In: Journal of Construction Engineering and Management, v. 149, n. 2 (February 2023).
https://doi.org/10.1061/jcemd4.coeng-12730
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Kim, Jinwoo / Chi, Seokho (2022): Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources. In: Automation in Construction, v. 141 (September 2022).
https://doi.org/10.1016/j.autcon.2022.104443
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Moon, Seonghyeon / Chi, Seokho / Im, Seok-Been (2022): Automated detection of contractual risk clauses from construction specifications using bidirectional encoder representations from transformers (BERT). In: Automation in Construction, v. 142 (October 2022).
https://doi.org/10.1016/j.autcon.2022.104465
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Won, Daeyoun / Hwang, Bon-gang / Chi, Seokho / Kor, Ju Lin (2022): Adoption of Three-Dimensional Printing Technology in Public Housing in Singapore: Drivers, Challenges, and Strategies. In: Journal of Management in Engineering (ASCE), v. 38, n. 4 (July 2022).
https://doi.org/10.1061/(asce)me.1943-5479.0001065
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Hwang, Jeongbin / Kim, Jinwoo / Chi, Seokho / Seo, JoonOh (2022): Development of training image database using web crawling for vision-based site monitoring. In: Automation in Construction, v. 135 (March 2022).
https://doi.org/10.1016/j.autcon.2022.104141
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Kim, Jinwoo / Chi, Seokho (2021): A few-shot learning approach for database-free vision-based monitoring on construction sites. In: Automation in Construction, v. 124 (April 2021).
https://doi.org/10.1016/j.autcon.2021.103566
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Lim, Soram / Chi, Seokho (2020): Damage Prediction on Bridge Decks considering Environmental Effects with the Application of Deep Neural Networks. In: KSCE Journal of Civil Engineering, v. 25, n. 2 (November 2020).
https://doi.org/10.1007/s12205-020-5669-4
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Moon, Seonghyeon / Lee, Gitaek / Chi, Seokho / Oh, Hyunchul (2021): Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing. In: Journal of Construction Engineering and Management, v. 147, n. 1 (January 2021).
https://doi.org/10.1061/(asce)co.1943-7862.0001953
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Moon, Seonghyeon / Chung, Sehwan / Chi, Seokho (2020): Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 6 (December 2020).
https://doi.org/10.1061/(asce)cf.1943-5509.0001530
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Jung, Minhyuk / Chi, Seokho (2020): Human activity classification based on sound recognition and residual convolutional neural network. In: Automation in Construction, v. 114 (June 2020).
https://doi.org/10.1016/j.autcon.2020.103177
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Chi, Seokho / Caldas, Carlos H. (2011): Automated Object Identification Using Optical Video Cameras on Construction Sites. Automated object identification using optical video cameras. In: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 5 ( 2011).
https://doi.org/10.1111/j.1467-8667.2010.00690.x
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Zhang, Hao / Chi, Seokho / Yang, Jay / Nepal, Madhav / Moon, Seonghyeon (2017): Development of a Safety Inspection Framework on Construction Sites Using Mobile Computing. In: Journal of Management in Engineering (ASCE), v. 33, n. 3 (May 2017).
https://doi.org/10.1061/(asce)me.1943-5479.0000495
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Chi, Seokho / Hwang, Jaewon / Arellano, Mike / Zhang, Zhanmin / Murphy, Mike (2013): Development of Network-Level Project Screening Methods Supporting the 4-Year Pavement Management Plan in Texas. In: Journal of Management in Engineering (ASCE), v. 29, n. 4 (October 2013).
https://doi.org/10.1061/(asce)me.1943-5479.0000158
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Chi, Seokho / Han, Sangwon / Kim, Dae Young / Shin, Yoonjung (2015): Accident Risk Identification and its Impact Analyses for Strategic Construction Safety Management. In: Journal of Civil Engineering and Management, v. 21, n. 4 (March 2015).
https://doi.org/10.3846/13923730.2014.890662
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Chang, Kowoon / Chi, Seokho (2019): Bridge Clustering for Systematic Recognition of Damage Patterns on Bridge Elements. In: Journal of Computing in Civil Engineering, v. 33, n. 5 (September 2019).
https://doi.org/10.1061/(asce)cp.1943-5487.0000846
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Kim, Jinwoo / Chi, Seokho (2019): Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles. In: Automation in Construction, v. 104 (August 2019).
https://doi.org/10.1016/j.autcon.2019.03.025
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Kim, Taekhyung / Chi, Seokho (2019): Accident Case Retrieval and Analyses: Using Natural Language Processing in the Construction Industry. In: Journal of Construction Engineering and Management, v. 145, n. 3 (March 2019).
https://doi.org/10.1061/(asce)co.1943-7862.0001625
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Jung, Minhyuk / Park, Moonseo / Lee, Hyun-Soo / Chi, Seokho (2017): Agent-Based Lift System Simulation Model for High-Rise Building Construction Projects. In: Journal of Computing in Civil Engineering, v. 31, n. 6 (November 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000707
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Kim, Jinwoo / Chi, Seokho (2017): Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning. In: Journal of Computing in Civil Engineering, v. 31, n. 5 (September 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000677
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Kim, Dae Young / Persad, Khali R. / Khwaja, Nabeel A. / Chi, Seokho (2016): Assessment of staffing needs for construction inspection. In: KSCE Journal of Civil Engineering, v. 20, n. 7 (January 2016).
https://doi.org/10.1007/s12205-016-0817-6
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Chi, Seokho / Caldas, Carlos H. (2012): Design of a preliminary error impact analysis model for spatial safety assessment of earthmoving operations. In: Automation in Construction, v. 22 (March 2012).
https://doi.org/10.1016/j.autcon.2011.06.019