Yonghan Ahn 
- (2024): The Personalized Thermal Comfort Prediction Using an MH-LSTM Neural Network Method. In: Advances in Civil Engineering, v. 2024 (Januar 2024).
- (2024): Modelling building HVAC control strategies using a deep reinforcement learning approach. In: Energy and Buildings, v. 310 (Mai 2024).
- (2023): An innovative approach to temporary educational facilities: A case study of relocatable modular school in South Korea. In: Journal of Building Engineering, v. 76 (Oktober 2023).
- (2023): Real-Time Fatigue Evaluation Using Ecological Momentary Assessment and Smartwatch Data: An Observational Field Study on Construction Workers. In: Journal of Management in Engineering (ASCE), v. 39, n. 3 (Mai 2023).
- (2023): Moderating Effect of Project Type on the Relationship between Project Delivery Systems and Cost Performance. In: Journal of Management in Engineering (ASCE), v. 39, n. 1 (Januar 2023).
- (2021): Comparison of the Embodied Carbon Emissions and Direct Construction Costs for Modular and Conventional Residential Buildings in South Korea. In: Buildings, v. 12, n. 1 (21 Dezember 2021).
- (2021): Developing a machine learning-based building repair time estimation model considering weight assigning methods. In: Journal of Building Engineering, v. 43 (November 2021).
- (2020): Reduction and transformation of energy use data for end-user group categorization in dormitory buildings. In: Journal of Building Engineering, v. 32 (November 2020).
- (2020): Post-Handover Defect Risk Profile of Residential Buildings Using Loss Distribution Approach. In: Journal of Management in Engineering (ASCE), v. 36, n. 4 (Juli 2020).
- (2020): Classifying the Business Model Types of International Construction Contractors. In: Journal of Construction Engineering and Management, v. 146, n. 6 (Juni 2020).
- (2020): LDA-Based Model for Assessing the Defect Liability System in Residential Buildings’ Maintenance Phase. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 2 (April 2020).
- (2020): Maintenance cost prediction for aging residential buildings based on case-based reasoning and genetic algorithm. In: Journal of Building Engineering, v. 28 (März 2020).
- (2019): Predicting Business Failure of Construction Contractors Using Long Short-Term Memory Recurrent Neural Network. In: Journal of Construction Engineering and Management, v. 145, n. 11 (November 2019).
- (2019): International Diversification and Performance of Construction Companies: Moderating Effect of Regional, Product, and Industry Diversifications. In: Journal of Management in Engineering (ASCE), v. 35, n. 5 (September 2019).
- (2019): Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images. In: Journal of Computing in Civil Engineering, v. 33, n. 3 (Mai 2019).
- (2018): Valuation of Guaranteed Maximum Price Contracts in Korea Using the Collar Option Model. In: Advances in Civil Engineering, v. 2018 ( 2018).
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