Search Results - "Computers in industry" :: K.UTB vyhledávací portál

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The Critical Success Factors for Robotic Process Automation

by Plattfaut, Ralf, Borghoff, Vincent, Godefroid, Marie, Koch, Julian, Trampler, Michael, Coners, André
Published in Computers in industry (01.06.2022)

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Interpretable deep learning approach for tool wear monitoring in high-speed milling

by Guo, Hao, Zhang, Yu, Zhu, Kunpeng
Published in Computers in industry (01.06.2022)

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Enterprise information systems state of the art: Past, present and future trends

by Romero, David, Vernadat, François
Published in Computers in industry (01.06.2016)

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Data science for engineering design: State of the art and future directions

by Chiarello, Filippo, Belingheri, Paola, Fantoni, Gualtiero
Published in Computers in industry (01.08.2021)

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Smart manufacturing standardization: Architectures, reference models and standards framework

by Li, Qing, Tang, Qianlin, Chan, Iotong, Wei, Hailong, Pu, Yudi, Jiang, Hongzhen, Li, Jun, Zhou, Jian
Published in Computers in industry (01.10.2018)

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An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

by Han, Yan, Tang, Baoping, Deng, Lei
Published in Computers in industry (01.05.2019)

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Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking

by Zhou, Yu-Cheng, Zheng, Zhe, Lin, Jia-Rui, Lu, Xin-Zheng
Published in Computers in industry (01.11.2022)

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Online tool wear monitoring by super-resolution based machine vision

by Zhu, Kunpeng, Guo, Hao, Li, Si, Lin, Xin
Published in Computers in industry (01.01.2023)

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BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry

by Yilmaz, Gokcen, Akcamete, Asli, Demirors, Onur
Published in Computers in industry (01.05.2023)

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The design space of production planning and control for industry 4.0

by Bendul, Julia C., Blunck, Henning
Published in Computers in industry (01.02.2019)

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Design of a reference architecture for developing smart warehouses in industry 4.0

by van Geest, Maarten, Tekinerdogan, Bedir, Catal, Cagatay
Published in Computers in industry (01.01.2021)

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Waste management: A comprehensive state of the art about the rise of blockchain technology

by Baralla, Gavina, Pinna, Andrea, Tonelli, Roberto, Marchesi, Michele
Published in Computers in industry (01.02.2023)

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Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges

by Caiazzo, Bianca, Di Nardo, Mario, Murino, Teresa, Petrillo, Alberto, Piccirillo, Gianluca, Santini, Stefania
Published in Computers in industry (01.01.2022)

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Developing a personalized recommendation system in a smart product service system based on unsupervised learning model

by Chiu, Ming-Chuan, Huang, Jih-Hung, Gupta, Saraj, Akman, Gulsen
Published in Computers in industry (01.06.2021)

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A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery

by Yang, Yatao, Yang, Runze, Pan, Longhui, Ma, Junxian, Zhu, Yishuang, Diao, Tao, Zhang, Li
Published in Computers in industry (01.12.2020)

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Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures

by Mohammadi, Masoud, Rashidi, Maria, Yu, Yang, Samali, Bijan
Published in Computers in industry (01.05.2023)

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Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

by Jimeno-Morenilla, Antonio, Azariadis, Philip, Molina-Carmona, Rafael, Kyratzi, Sofia, Moulianitis, Vassilis
Published in Computers in industry (01.02.2021)

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Smart technologies and corporate sustainability: The mediation effect of corporate sustainability strategy

by Saunila, Minna, Nasiri, Mina, Ukko, Juhani, Rantala, Tero
Published in Computers in industry (01.06.2019)

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Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges

by Wan, Paul Kengfai, Leirmo, Torbjørn Langedahl
Published in Computers in industry (01.01.2023)

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Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines

by Liu, Dan, Zhong, Shisheng, Lin, Lin, Zhao, Minghang, Fu, Xuyun, Liu, Xueyun
Published in Computers in industry (01.10.2023)

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