Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoin...Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoing discussions about research practices.However,its status within machine learning for building systems is underexamined.Therefore,this work contributes to closing this gap by analyzing the reproducibility of machine learning-based fault detection and diagnosis studies published over the past decade.We found that nearly all articles are not reproducible due to insufficient disclosure across key dimensions of reproducibility.Notably,72%of the articles do not specify whether the dataset used is public,proprietary,or commercially available.Only two papers share a link to their code,one of which was broken.Two-thirds of the publications were authored exclusively by academic researchers,yet no significant differences in reproducibility were observed compared to publications with industry-affiliated authors.These findings highlight the need for targeted interventions,including reproducibility guidelines,training for researchers,and policies by journals and conferences that promote transparency and reproducibility.展开更多
The field of architecture,engineering,and construction(AEC)is continually striving to use resources efficiently and manage complex processes.Now more than ever,there is a strong need for digital transformation in AEC....The field of architecture,engineering,and construction(AEC)is continually striving to use resources efficiently and manage complex processes.Now more than ever,there is a strong need for digital transformation in AEC.The improvement in the accessibility of consumer-based head-mounted displays(HMD)is attracting different entertainment and research fields to immersive virtual reality(VR)applications.Building Information Modeling(BIM)is known as a promising technology in AEC.The full potential of BIM is not yet employed to empower this field,however,and this could be a result of some barriers still to be surmounted by BIM in both technological and management perspectives.One of these barriers is the communication and collaboration between design,construction,operation,and maintenance phases.VR can fill this gap by providing additional capabilities for BIM which either were not available before or were not possible to employ in practical ways.In this paper,we systematically review recent research around the application of VR in BIM and discuss the results using the PRISMA flowchart.We discuss the most commonly used technologies,software,and evaluation methods and the various applications of VR in the reviewed papers.Finally,we extend the discussion by summarizing the potential future work in this area.展开更多
基金the project Ecom4Future(project number 903927)funded by the Austrian Research Promotion Agency(FFG)under the“Clean Energy Transition Partnership-Joint Call 2022”.
文摘Reproducibility is a cornerstone of credible scientific research.The topic gained prominence in fields such as psychology,medicine and artificial intelligence where concerns about non-replicable results sparked ongoing discussions about research practices.However,its status within machine learning for building systems is underexamined.Therefore,this work contributes to closing this gap by analyzing the reproducibility of machine learning-based fault detection and diagnosis studies published over the past decade.We found that nearly all articles are not reproducible due to insufficient disclosure across key dimensions of reproducibility.Notably,72%of the articles do not specify whether the dataset used is public,proprietary,or commercially available.Only two papers share a link to their code,one of which was broken.Two-thirds of the publications were authored exclusively by academic researchers,yet no significant differences in reproducibility were observed compared to publications with industry-affiliated authors.These findings highlight the need for targeted interventions,including reproducibility guidelines,training for researchers,and policies by journals and conferences that promote transparency and reproducibility.
基金supported byÖsterreichische Forschungsförderungsgesellschaft and TU Graz Open Access Publishing Fund.
文摘The field of architecture,engineering,and construction(AEC)is continually striving to use resources efficiently and manage complex processes.Now more than ever,there is a strong need for digital transformation in AEC.The improvement in the accessibility of consumer-based head-mounted displays(HMD)is attracting different entertainment and research fields to immersive virtual reality(VR)applications.Building Information Modeling(BIM)is known as a promising technology in AEC.The full potential of BIM is not yet employed to empower this field,however,and this could be a result of some barriers still to be surmounted by BIM in both technological and management perspectives.One of these barriers is the communication and collaboration between design,construction,operation,and maintenance phases.VR can fill this gap by providing additional capabilities for BIM which either were not available before or were not possible to employ in practical ways.In this paper,we systematically review recent research around the application of VR in BIM and discuss the results using the PRISMA flowchart.We discuss the most commonly used technologies,software,and evaluation methods and the various applications of VR in the reviewed papers.Finally,we extend the discussion by summarizing the potential future work in this area.
