Electricity market empowered by artificial intelligence: A platform approach
Artificial intelligence (AI) techniques and algorithms are increasingly being utilized in energy
and renewable research to tackle various engineering problems. However, a majority of the …
and renewable research to tackle various engineering problems. However, a majority of the …
[PDF][PDF] Knowledge-based engineering in the context of railway designs by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering …
M Häußler, A Borrmann - Journal of information technology in …, 2021 - mediatum.ub.tum.de
Designing railway infrastructure is a knowledge-intensive task. Although there are a number
of mature design authoring systems available, their support for dynamically incorporating …
of mature design authoring systems available, their support for dynamically incorporating …
Artificial intelligence in construction projects: An explorative study of professionals' expectations
V Holzmann, M Lechiara - European Journal of Business and …, 2022 - ejbmr.org
Artificial intelligence (AI) is a fast-growing innovative technology that will have a huge impact
on projects and project management practices in the forthcoming years. The purpose of this …
on projects and project management practices in the forthcoming years. The purpose of this …
Potential applications of machine learning for BIM in tunnelling
GH Erharter, J Weil, F Tschuchnigg… - Geomechanics and …, 2022 - Wiley Online Library
Abstract Machine Learning (ML) and Building Information Modelling (BIM) are two topics that
are part of a revolutionizing transformation in the construction industry–commonly referred to …
are part of a revolutionizing transformation in the construction industry–commonly referred to …
Applying random forest algorithm for highway bridge-type prediction in areas with a high seismic risk
MC Cheng, M Bonopera, LJ Leu - Journal of the Chinese Institute …, 2024 - Taylor & Francis
Machine learning was used to bridge-type prediction in the preliminary design. Based on the
decision tree, in the United States, the accuracy of highway bridge-type prediction showed to …
decision tree, in the United States, the accuracy of highway bridge-type prediction showed to …
Using Bayesian networks to estimate bridge characteristics in early road designs
V Panopoulos, A Bougas… - Infrastructure Asset …, 2021 - icevirtuallibrary.com
When deciding where to build new roads, it would be useful to obtain quickly and reliably an
idea of the necessary characteristics of any potential bridges, using limited information and …
idea of the necessary characteristics of any potential bridges, using limited information and …
Development of methods for model-based quality assurance in railway infrastructure design
M Häußler - 2021 - mediatum.ub.tum.de
Through the introduction of modern, digital technologies to the process of executing
construction projects, the construction design industry aims to achieve various goals, among …
construction projects, the construction design industry aims to achieve various goals, among …
Awareness and adoption readiness of machine learning technology in the construction industry of a developing country: a case of Nigeria
SO Loya, E Eze, IA Awodele, O Sofolahan… - ITEGAM …, 2024 - itegam-jetia.org
This study investigated the awareness of the Nigerian construction organisations on some
identified ML application areas, and the readiness of the organisations to adopt ML learning …
identified ML application areas, and the readiness of the organisations to adopt ML learning …
[PDF][PDF] ITEGAM-JETIA
SO Loya, EC Eze, IA Awodele, O Sofolahan… - 2024 - academia.edu
This study investigated the awareness of the Nigerian construction organisations on some
identified ML application areas, and the readiness of the organisations to adopt ML learning …
identified ML application areas, and the readiness of the organisations to adopt ML learning …
[PDF][PDF] Untersuchung der parametrischen Modellierung von Bogenbrücken aus Beton mit Dynamo und Revit
F Stauch - Bachelorarbeit, TU München, 2016 - publications.cms.bgu.tum.de
Die Arbeit reiht sich in das Forschungsvorhaben KBE4Infra des Lehrstuhls für
Computergestützte Modellierung und Simulation an der TU München ein. Sie basiert auf der …
Computergestützte Modellierung und Simulation an der TU München ein. Sie basiert auf der …