Works matching IS 09565515 AND DT 2024 AND VI 35 AND IP 1
Results: 26
Hyper-automation in manufacturing industry.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 1, doi. 10.1007/s10845-023-02265-3
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Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 449, doi. 10.1007/s10845-022-02058-0
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Modeling spatial point processes in video-imaging via Ripley's K-function: an application to spatter analysis in additive manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 429, doi. 10.1007/s10845-022-02055-3
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Interpolation-based virtual sample generation for surface roughness prediction.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 343, doi. 10.1007/s10845-022-02054-4
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A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 413, doi. 10.1007/s10845-022-02053-5
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Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 355, doi. 10.1007/s10845-022-02052-6
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Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 367, doi. 10.1007/s10845-022-02051-7
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Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 3, doi. 10.1007/s10845-022-02049-1
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A quality improvement method for complex component fine manufacturing based on terminal laser beam deflection compensation.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 331, doi. 10.1007/s10845-022-02048-2
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Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 257, doi. 10.1007/s10845-022-02047-3
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Intelligent inventory management with autonomation and service strategy.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 307, doi. 10.1007/s10845-022-02046-4
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Digital modeling-driven chatter suppression for thin-walled part manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 289, doi. 10.1007/s10845-022-02045-5
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In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 387, doi. 10.1007/s10845-022-02044-6
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A semantic-driven tradespace framework to accelerate aircraft manufacturing system design.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 175, doi. 10.1007/s10845-022-02043-7
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Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 275, doi. 10.1007/s10845-022-02042-8
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A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 217, doi. 10.1007/s10845-022-02041-9
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Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 115, doi. 10.1007/s10845-022-02040-w
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Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 75, doi. 10.1007/s10845-022-02037-5
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Surface defect detection method for air rudder based on positive samples.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 95, doi. 10.1007/s10845-022-02034-8
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Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 55, doi. 10.1007/s10845-022-02033-9
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Particle swarm optimization service composition algorithm based on prior knowledge.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 35, doi. 10.1007/s10845-022-02032-w
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A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 161, doi. 10.1007/s10845-022-02031-x
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State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 147, doi. 10.1007/s10845-022-02030-y
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Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 235, doi. 10.1007/s10845-022-02027-7
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A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 199, doi. 10.1007/s10845-022-02025-9
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In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 129, doi. 10.1007/s10845-022-02013-z
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