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An Exploratory Study on the Outcomes of Influence Strategies in Mobile Application Recommendations.

, , and . BCSS@PERSUASIVE, volume 1153 of CEUR Workshop Proceedings, page 27-40. CEUR-WS.org, (2014)

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Reference Architectures and Standards for the Internet of Things and Big Data in Smart Manufacturing.. FiCloud, page 243-250. IEEE, (2019)A Big Data Application in Manufacturing Industry-Computer Vision to Detect Defects on Bearings., , , , , , and . IEEE Big Data, page 6074-6083. IEEE, (2022)Condition Monitoring and Remaining Useful Life Prediction for Tool Wear in CNC Machines., , , and . FiCloud, page 264-269. IEEE, (2023)Control System Design and Implementation Based on Big Data and Ontology., , , , , , and . IEEE Big Data, page 6048-6056. IEEE, (2022)Optimisation of a Chemical Process by Using Machine Learning Algorithms with Surrogate Modeling., , , , and . MobiWIS, volume 13977 of Lecture Notes in Computer Science, page 187-201. Springer, (2023)Exploring Behavior Change Features for Mobile Workout Applications., , , , and . MobiWIS, volume 10486 of Lecture Notes in Computer Science, page 45-53. Springer, (2017)A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data., , , and . Inf., 12 (10): 386 (2021)An Analysis on user profiles and usage preferences for mobile application recommendations ; Mobil uygulama tavsiyelerinde kullanıcı profilleri ve kullanım tercihlerinin analizi.. Middle East Technical University, Çankaya, Ankara, Turkey, (2015)base-search.net (ftmetuankair:oai:open.metu.edu.tr:11511/25237).Performance Analysis of Machine Learning Models for Object Recognition in Underwater Video Images., , , , , , and . SIU, page 1-4. IEEE, (2021)A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection., , , , , and . FiCloud, page 285-292. IEEE, (2021)