Titlebook: Advances in Remanufacturing; Proceedings of the V Marcello Fera,Mario Caterino,Duc Truong Pham Conference proceedings 2024 The Editor(s) (i

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Exploring in the Application Slicing Technology to Determine Spatial Information to Assist and Facider bonnet. However, a digital model of EOL products (including their internal profiles) can be obtained using 3D scan or computed tomography (CT) scan and subsequently, sliced into layers to determine essential spatial information to facilitate RD. Therefore, this research work has proposed to expl

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Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logisticslasses to be identified without retraining a model from scratch. Open source and state-of-the-art incremental ML learning methods such as POD-Net and Foster were tested against the common joint training approach used for most benchmarks in computer vision. The best-fitting open-source method for thi

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Surface Defect Recognition and Invalidation Judgment of Remanufactured Gears Based on Machine Visiocoordinate transformation, the method that combines the improved YOLOv5 algorithm model and gear defect recognition realizes gear invalidation judgement. This paper focuses on two parts: identifying gears and gear defects using the YOLOv5 and image processing algorithms. The experiment shows that th

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Compact Convolutional Transformer for Bearing Remaining Useful Life Prediction,UL of bearings. This study conducted experiments using the XJTU-SY rolling bearing dataset. The performance was evaluated in terms of root mean square error (RMSE) and maximum absolute error (MAE) by modifying the layer configuration and comparing with other state-of-the-art algorithms.

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Shuo Xie,Chenguang Liu,Xiumin Chu,Xue Ouyang3) enablers that can support the development of a sustainable remanufacturing system. By classifying the published literature and conducting a thorough analysis, this paper provides valuable insights for practitioners and researchers, facilitating the creation and accumulation of knowledge in the fi

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Lecture Notes in Computer ScienceThe findings revealed an increasing interest in the topic in the last three years. Most of the studies focused on disassembly and inspection processes, whereas further applications (e.g., repair, demand forecasting, cost prediction, etc.) have not been fully investigated and need further research. D

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Joachim R. Daduna,Gernot Liedtke,Stefan Voß-objective approach, while robotic disassembly line balancing adopts a multiobjective nondominated approach, with the genetic algorithm, evolutionary algorithm, and bees algorithm as the most commonly used metaheuristics. These results offer insights and directions for further research in this domai