Titlebook: Data Management Technologies and Applications; 10th International C Alfredo Cuzzocrea,Oleg Gusikhin,Christoph Quix Conference proceedings 2

Venules

https://doi.org/10.1007/0-387-32177-2ding, in this sense, there has been increased interest in data mining and machine learning in the steel industry. Reducing energy consumption and neutralizing greenhouse gas emissions have become challenges for the steel industry. Nowadays, it is normal to use artificial intelligence to integrate In

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Irena Twardowska,Sebastian Stefaniakisition. However, most of these interventions are mainly structured around a battery of assessments and mostly overlooking the participants’ engagement patterns. Ergo, large amounts of easily avoidable errors, most of which are syntactic, are generated in the course of a student’s exercise task enga

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1865-0929 nt Technologies and Applications,??DATA 2021 and??DATA 2022,?was held virtually due to the COVID-19 crisis on?July 6–8, 2021 and in Lisbon, Portugal on July 11-13, 2022..The 11 full papers included in this book were carefully reviewed and?selected from 148 submissions. They were organized in topical

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Aneel A. Ashrani,S. Vincent Rajkumaredures. In addition, when working with 2D images, we observed that landmarking 2D images can be inaccurate due to pose sensitivity. To address this problem we proposed the use of 3D face landmarking. Our results indicate that regardless of the 3D face scan pose, we were able to annotate the face scans with close to accurate landmarks.

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