Towards future BIM technology innovations: A bibliometric analysis of the literature

A Khudhair, H Li, G Ren, S Liu - Applied Sciences, 2021 - mdpi.com
The evolution of the construction industry is associated with the continuous implementation
of new technologies. Building Information Modelling (BIM) has revolutionised the …

Machine-learning-based digital twin in manufacturing: A bibliometric analysis and evolutionary overview

SS Sheuly, MU Ahmed, S Begum - Applied Sciences, 2022 - mdpi.com
The Digital Twin (DT) concept in the manufacturing industry has received considerable
attention from researchers because of its versatile application potential. Machine Learning …

[PDF][PDF] 能源互联网数字孪生系统框架设计及应用展望

蒲天骄, 陈盛, 赵琦, 王新迎, 张东霞 - **电机工程学报, 2021 - epjournal.csee.org.cn
能源革命和数字革命共同推动我国智能电网向能源互联网转型升级. 能源互联网具备多能流相互
耦合, 信息物理融合等复杂特性, 传统基于机理物理模型的方法难以满足其监测分析及优化运行 …

Time-of-flight sensor for getting shape model of automobiles toward digital 3D imaging approach of autonomous driving

I Niskanen, M Immonen, L Hallman… - Automation in …, 2021 - Elsevier
A 3D model is an interesting technology used to realize the smooth flow of traffic and plays
an important role in autonomous driving. This paper proposes an efficient and new …

Generating synthetic data for deep learning-based drone detection

T Dieter, A Weinmann, E Brucherseifer - AIP Conference Proceedings, 2023 - pubs.aip.org
Drone detection is an important yet challenging task in the context of object detection. The
development of robust and reliable drone detection systems requires large amounts of …

HUMAN-MACHINE COOPERATION: Adaptability of shared functions between Humans and Machines-Design and evaluation aspects

MP Pacaux-Lemoine - 2020 - hal.science
The objective to obtain the" Habilitation à diriger des recherches" is not a usual way for a
French research engineer to pursue a carrier. Nevertheless, the LAMIH gave me the …

A modular edge-/cloud-solution for automated error detection of industrial hairpin weldings using convolutional neural networks

J Vater, P Schlaak, A Knoll - 2020 IEEE 44th Annual Computers …, 2020 - ieeexplore.ieee.org
The traction battery and the electric motor are the most important components of the
electrified powertrain. To increase the energy efficiency of the electric motor, wound copper …

A taxonomy of built asset information coupling

S Davari, E Poirier - Frontiers of Engineering Management, 2024 - Springer
The digital transformation of the built asset industry is moving toward closer integration of
physical and digital assets and resources. Within the framework of Cyber-Physical Systems …

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

J Bofill, M Abisado, J Villaverde, GA Sampedro - Sensors, 2023 - mdpi.com
High efficiency and safety are critical factors in ensuring the optimal performance and
reliability of systems and equipment across various industries. Fault monitoring (FM) …

Overview of cyber-physical systems and enabling technologies in cognitive computing for smart built environment

I Yitmen, S Alizadehsalehi - BIM-enabled Cognitive Computing for …, 2021 - taylorfrancis.com
Cyber-Physical Systems comprising interconnected and integrated smart systems can
transform the architecture, engineering, and construction (AEC) industry and contribute to …