| A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics HH Hosamo, PR Svennevig, K Svidt, D Han, HK Nielsen Energy and Buildings 261, 111988, 2022 | 223 | 2022 |
| Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II HH Hosamo, MS Tingstveit, HK Nielsen, PR Svennevig, K Svidt Energy and Buildings 277, 112479, 2022 | 114 | 2022 |
| A Review of the Digital Twin Technology in the AEC-FM Industry H Hosamo, A Imran, J Cartagena, P Svennevig, K Svidt, H Nielsen Advances in Civil Engineering, 2022 | 103 | 2022 |
| Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings HH Hosamo, HK Nielsen, D Kraniotis, PR Svennevig, K Svidt Energy and Buildings 281, 112732, 2023 | 73 | 2023 |
| Digital twin technology for bridge maintenance using 3d laser scanning: A review HH Hosamo, MH Hosamo Advances in Civil Engineering 2022 (1), 2194949, 2022 | 66 | 2022 |
| Improving building occupant comfort through a digital twin approach: A Bayesian network model and predictive maintenance method HH Hosamo, HK Nielsen, D Kraniotis, PR Svennevig, K Svidt Energy and Buildings 288, 112992, 2023 | 58 | 2023 |
| Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA H Hosamo, MH Hosamo, HK Nielsen, PR Svennevig, K Svidt Advances in building energy research 17 (2), 125-171, 2023 | 51 | 2023 |
| A review of the Digital Twin technology for fault detection in buildings HH Hosamo, HK Nielsen, AN Alnmr, PR Svennevig, K Svidt Frontiers in Built Environment 8, 1013196, 2022 | 43 | 2022 |
| A comprehensive review and analysis of nanosensors for structural health monitoring in bridge maintenance: innovations, challenges, and future perspectives D Han, H Hosamo, C Ying, R Nie Applied Sciences 13 (20), 11149, 2023 | 28 | 2023 |
| Numerical Analysis of Bearing Capacity of a Ring Footing on Geogrid Reinforced Sand H Hosamo Buildings, 2021 | 16 | 2021 |
| A Preliminary Structural Survey of Heritage Timber Log Houses in Tønsberg, Norway A Shabani, H Hosamo, V Plevris, M Kioumarsi 12th International Conference on Structural Analysis of Historical …, 2021 | 13 | 2021 |
| The use of the BIM-model and scanning in quality assurance of bridge constructions CN Rolfsen, AK Lassen, D Han, H Hosamo, C Ying ECPPM 2021-eWork and eBusiness in Architecture, Engineering and Construction …, 2021 | 13 | 2021 |
| Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art H Hosamo, GBA Coelho, E Buvik, S Drissi, D Kraniotis Building and Environment, 111922, 2024 | 10 | 2024 |
| Novel insights in soil mechanics: integrating experimental investigation with machine learning for unconfined compression parameter prediction of expansive soil A Alnmr, HH Hosamo, C Lyu, RP Ray, MO Alzawi Applied Sciences 14 (11), 4819, 2024 | 7 | 2024 |
| Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights H Wu, R Nie, X Zeng, C Cheng, J Pan, D Han, H Hosamo Frontiers in Built Environment 10, 1381813, 2024 | 5 | 2024 |
| Experimental and finite element analysis of the shear behaviour of UHPC beams H Hosamo, P Sarwari Universitetet i Agder; University of Agder, 2019 | 4 | 2019 |
| Building performance optimization through sensitivity Analysis, and economic insights using AI H Hosamo, GBA Coelho, CN Rolfsen, D Kraniotis Energy and Buildings 325, 114999, 2024 | 3 | 2024 |
| Navigating the adoption of 5D building information modeling: insights from norway HH Hosamo, CN Rolfsen, F Zeka, S Sandbeck, S Said, MA Sætre Infrastructures 9 (4), 75, 2024 | 3 | 2024 |
| Research on BIM and virtual pre-assembly technology in construction management D Han, CN Rolfsen, BD Engeland, H Hosamo, H Hjelmbrekke, K Hu, ... ECPPM 2021-eWork and eBusiness in Architecture, Engineering and Construction …, 2021 | 3 | 2021 |
| Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings H Hosamo, S Mazzetto Buildings 15 (1), 39, 2024 | 2 | 2024 |
Kjeld SvidtAssociate Professor, Aalborg UniversityPatvirtintas el. paštas build.aau.dk