Titlebook: Methods for Researching Professional Learning and Development; Challenges, Applicat Michael Goller,Eva Kyndt,Crina Damşa Book 2022 The Edit

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Petri Nokelainen,Tahani Z. Aldahdouh,Alaa A. Aldahdouh8 was held in Sendai, Japan on 26–28 November 2018. It was hosted by Tohoku University and was co‐sponsored by the Fujian University of Technology in China, the Taiwan Association for Web Intelligence Consortium in Taiwan, and the Swinburne University of Technology in Australia, as well as the Fujia

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Michael Goller,Frederic Hilkenmeierontrolled environmental features. We rely on Faster-RCNN-Inception-V2-COCO model but other robust training model could be used for devices with limited computation power like Raspberry pi with same procedures and improved results. The Tensorflow model is rapidly growing with current version 1.12.0 w

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Christian Harteisance (CBM) approach through digital data-oriented Industry 4.0 transformation can well predict the Remaining Useful Life (RUL) of the part or assembly and based on the predictions, the breakdown is addressed in advance to eliminate breakdown by 95%. Long Short-Term Memory (LSTM) based deep learning

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Methods for Researching Professional Learning and Development978-3-031-08518-5Series ISSN 2210-5549 Series E-ISSN 2210-5557

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Michael Goller,Eva Kyndt,Crina DamşaDiscusses different methodological approaches to empirically research professional development.Addresses each methodological approach on a conceptual level.Offers example studies to illustrate each re