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survAIval: Survival Analysis with the Eyes of AI.

, , and . CHIRA (Revised Selected Papers), volume 1882 of Communications in Computer and Information Science, page 153-170. Springer, (2022)

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survAIval: Survival Analysis with the Eyes of AI., , and . CoRR, (2023)Reliability analysis regarding product fleets in use phase: Multivariate cluster analytics and risk prognosis based on operating data., , and . CoDIT, page 210-215. IEEE, (2016)A Design Method for Product Upgradability with Different Customer Demands., , , and . PLM, volume 442 of IFIP Advances in Information and Communication Technology, page 91-100. Springer, (2014)A-Eye: Driving with the Eyes of AI for Corner Case Generation., , and . CHIRA, page 41-48. SCITEPRESS, (2022)Prediction of Failure Candidates of Technical Products in the Field Based on a Multivariate Usage Profile Using Machine Learning Algorithms Regarding Operating Data., , and . IHSED, volume 1026 of Advances in Intelligent Systems and Computing, page 555-560. Springer, (2019)YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors., , , and . CoRR, (2020)Disassembly Reuse Part Selection for Recovery Rate and Cost with Lifetime Analysis., , , , and . IJAT, 12 (6): 822-832 (2018)Upgradable Design for Sustainable Manufacturer Performance and Profitability and Reduction of Environmental Load., , , and . IJAT, 10 (5): 690-698 (2016)Decision Support Method for Upgrade Cycle Planning and Product Architecture Design of an Upgradable Product., , , , and . Int. J. Autom. Technol., 14 (6): 919-929 (2020)survAIval: Survival Analysis with the Eyes of AI., , and . CHIRA (Revised Selected Papers), volume 1882 of Communications in Computer and Information Science, page 153-170. Springer, (2022)