Found: 18
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Human-centred design in industry 4.0: case study review and opportunities for future research.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 35, doi. 10.1007/s10845-021-01796-x
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Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 77, doi. 10.1007/s10845-020-01658-y
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A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 151, doi. 10.1007/s10845-020-01657-z
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Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 185, doi. 10.1007/s10845-020-01655-1
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Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 167, doi. 10.1007/s10845-020-01654-2
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Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 311, doi. 10.1007/s10845-021-01808-w
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Deep reinforcement learning methods for structure-guided processing path optimization.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 333, doi. 10.1007/s10845-021-01805-z
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Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 283, doi. 10.1007/s10845-021-01793-0
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Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 259, doi. 10.1007/s10845-021-01789-w
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Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 103, doi. 10.1007/s10845-020-01646-2
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Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 293, doi. 10.1007/s10845-021-01787-y
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- Article
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 247, doi. 10.1007/s10845-020-01663-1
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Improving the accuracy of machine-learning models with data from machine test repetitions.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 203, doi. 10.1007/s10845-020-01661-3
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Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 223, doi. 10.1007/s10845-020-01659-x
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Online monitoring of resistance spot welding electrode wear state based on dynamic resistance.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 91, doi. 10.1007/s10845-020-01650-6
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Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 137, doi. 10.1007/s10845-020-01653-3
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Chatter detection for milling using novel p-leader multifractal features.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 121, doi. 10.1007/s10845-020-01651-5
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A comprehensive review of robotic assembly line balancing problem.
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- Journal of Intelligent Manufacturing, 2022, v. 33, n. 1, p. 1, doi. 10.1007/s10845-020-01641-7
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