International Journals

1–20 of 127 results

Gaps between observed and perceived indoor environmental quality: An integrated assessment in multiple university library spaces

Koo, C., Chun, S., Han, S., Cha, S.H., and Lee, M., Hong, T · 2026 · Journal of Librarianship & Information Science, 0(0)

Library SpaceIndoor Environmental QualityUser PerceptionsObjective MeasurementIntegrated AssessmentConstruction Site

Environment · 구충완

Interpretable benchmarking of construction equipment carbon emissions using pre-construction stage information: A machine learning and SHAP-based approach

Seo, S., Ahn, S., Yeom, S., Kim, J., Hong, T., Kang, K., and Koo, C. (Corresponding Author) · 2026 · Building and Environment, 297, 114559

Construction Equipment Carbon EmissionsInterpretable BenchmarkingMachine LearningSHAP AnalysisGeotechnical CharacteristicsPre-Construction

Environment · 구충완

A systematic review on the integrations of CFD and artificial intelligence for the future perspectives of built environment: Multi-scale approaches from room to city

Choi, J., Kong, M., Choi, D., Seo, S., Koo, C., and Hong, T · 2026 · Sustainable Cities and Society, 141, 107278

Computational Fluid DynamicsArtificial IntelligenceBuilt EnvironmentMulti-Scale Integration

Environment · 구충완

Operational day-ahead load forecasting using graph-based data-driven urban building energy modeling

Kim, J., Yeom, S., Ann, S., Seo, S., Koo, C., and Hong, T · 2026 · Building and Environment, 294, 114384

Urban Building Energy ModelingGraph Neural NetworksGated Recurrent NetworksDay-Ahead Load ForecastingPower Outages

Safety · 구충완

Virtual reality-based experimental analysis of personality and cognitive traits on task performance and safety in novice tower crane operators

Yeom, S., Kim, J., Seo, S., Ahn, S., Koo, C., and Hong, T · 2026 · Automation in Construction, 183, 106776

Virtual RealityTower CranePersonalityPhysiological ResponseConstruction Safety

Environment · 구충완

Evaluating zoning-based lift stopping strategies under stochastic worker arrivals in super-tall construction using agent-based simulation

Panahi, R., Choi, J., Koo, C. (Corresponding Author), Koh, K., and Hong, T · 2026 · International Journal of Systems Science: Operations & Logistics, 13(1)

Agent-Based SimulationStochastic Worker ArrivalLift Stopping StrategyVertical Transportation LogisticsSuper-Tall ConstructionOperational Efficiency

Health · 구충완

Climate-change adaptation to extreme heat on construction sites: A wearable-free, simplified machine-learning model for predicting workers’ heat strain

Lee, J., Seo, S., Choi, D., Choi, Y., and Koo, C. (Corresponding Author) · 2026 · Building and Environment, 289, 114041

Construction WorkerIndividual Heat StrainPredicted Heat Strain (PHS)Machine-Learning AlgorithmShapley Additive Explanation (SHAP)Process-Based Prototype

Environment · 구충완

Automated reliability-based multi-camera strategy for excavator tracking under dynamic occlusion using deep learning with instance segmentation

Ahn, S., Seo, S., Shin, Y., and Koo, C. (Corresponding Author) · 2026 · Automation in Construction, 181, 106589

Excavator TrackingOcclusionVision-Based MonitoringDeep Learning Instance SegmentationTracking ReliabilityMulti-Camera Strategy

Environment · 구충완

Framework for the automated generation of 2-dimensional architectural drawings from building information models using deep learning

Kim, S., Choi, C., Jeong, K., Lee J., Hong, T., Koo, C., and An, J · 2025 · Expert Systems with Applications, 275, 127018

Building Information ModelingDeep Learning2-Dimensional DrawingAutomated GenerationHybrid Drawing RecognitionParametric Algorithms

Environment · 구충완

Deep learning-based automated method for enhancing excavator activity recognition in far-field construction site surveillance videos

Shin, Y., Seo, S., and Koo, C. (Corresponding Author) · 2025 · Automation in Construction, 173, 106099

Computer Vision3D ResNetTransfer LearningFar-Field Construction SiteSurveillance VideosSynthetic VideoImage Preprocessing MethodActivity Recognition

Health · 구충완

A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices

Lee, J., Seo, S., Han, S., and Koo, C. (Corresponding Author) · 2025 · Sustainable Cities and Society, 119, 106085

Older AdultsResidential SpacesIndividual Thermal ComfortForecasting ModelMachine-Learning AlgorithmPredicted Mean Vote

Environment · 구충완

Impact of environmental pollutants on work performance using virtual reality

Hong, J., Song, S., Ahn, C., Koo, C., Lee, D.E., Park, H.S., and Hong, T · 2024 · Automation in Construction, 168, Part A, 105833

Environmental PollutantWork PerformanceMental WorkloadVirtual RealityConstruction WorkStatistical Analysis

Safety · 구충완

Impact of heat stress on individual cognitive states: Utilizing EEG metrics in immersive VR-based construction safety training

Shin, Y., Choi, D., Park, H., Lee, M., Hong, T., and Koo, C. (Corresponding Author) · 2024 · Journal of Management in Engineering, 40(6), 04024057

Heat StressCognitive StatesConstruction WorkersElectroencephalography (EEG)Immersive Virtual RealityConstruction Safety Training

Health · 구충완

Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach

Uddin, M.N., Lee, M., Cui, X., Zhang, X., Hasan, T., Koo, C., and Hong, T · 2024 · Journal of Building Engineering, 94, 110015

Occupant Indoor ComfortThermal and Visual Comfort (TVNVEBMachine LearningLow-Income Economies

Safety · 구충완

Impact of interactive learning elements on personal learning performance in immersive virtual reality for construction safety training

Seo, S., Park, H., and Koo, C. (Corresponding Author) · 2024 · Expert Systems with Applications (Gold Open Access), 251, 124099

Environmental PollutantWork PerformanceMental WorkloadVirtual RealityConstruction WorkStatistical Analysis

Health · 구충완

Empirical adaptation of Work/Rest schedules to physiological variability in heat response

Oh, J., Chung, F., Koo, C., Castro-Lacouture, D., and Ashuri, B · 2024 · Safety Science, 177, 106574

Occupational Health and SafetyHeat StressPhysiological VariabilityWork/Rest Schedule

Health · 구충완

Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning

Seo, S., Choi, Y., and Koo, C. (Corresponding Author) · 2024 · Engineering Applications of Artificial Intelligence (Gold Open Access), 133, 108507

Personal Heat StrainExtremely Hot EnvironmentsForecasting ModelPrincipal Biometric FeaturesMachine Learning AlgorithmField Applicability

Safety · 구충완

Utilizing synthetic images to enhance the automated recognition of small-sized construction tools

Han, S., Park, W., Jeong, K., Hong, T., and Koo, C. (Corresponding Author) · 2024 · Automation in Construction (Gold Open Access), 163, 105415

Small-Sized Construction ToolsObject Detection and ClassificSynthetic ImagesPractical ApplicabilityConstruction Site

Health · 구충완

A living lab to develop smart home services for the residential welfare of older adults

Hong, S., Jang, E., Cho, J., Lee, J., Rhee, J., Lee, H., Lee, M., Cha, S., Koo, C., Baik, O., and Heo, Y · 2024 · Technology in Society, 77, 102577

Multidisciplinary Welfare ServEnergy Management SystemIoTLife Pattern MonitoringOlder Adults' Thermal ComfortEnergy Cost SavingOlder Adults' Life Quality

Environment · 구충완

Managing energy consumption and indoor environment quality using Augmented reality based on the occupants’ satisfaction and characteristics

Yeom, S., An, J., Hong, T., Koo, C., Jeong, K., and Lee, J · 2024 · Energy and Buildings, 311, 114165

Augmented RealityEnergy ConsumptionIndoor Environmental QualityPhysiological ResponseOccupants' Characteristics