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 …
of new technologies. Building Information Modelling (BIM) has revolutionised the …
Machine-learning-based digital twin in manufacturing: A bibliometric analysis and evolutionary overview
The Digital Twin (DT) concept in the manufacturing industry has received considerable
attention from researchers because of its versatile application potential. Machine Learning …
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 …
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 …
an important role in autonomous driving. This paper proposes an efficient and new …
Generating synthetic data for deep learning-based drone detection
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 …
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 …
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 …
electrified powertrain. To increase the energy efficiency of the electric motor, wound copper …
A taxonomy of built asset information coupling
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 …
physical and digital assets and resources. Within the framework of Cyber-Physical Systems …
Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities
High efficiency and safety are critical factors in ensuring the optimal performance and
reliability of systems and equipment across various industries. Fault monitoring (FM) …
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
Cyber-Physical Systems comprising interconnected and integrated smart systems can
transform the architecture, engineering, and construction (AEC) industry and contribute to …
transform the architecture, engineering, and construction (AEC) industry and contribute to …