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Research article

First published 2004-11

Quality evaluation by classification of electrode force patterns in the resistance spot welding process using neural networks

Y J Park, H Cho

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2005-2

On-line prediction of quality and shear strength of spacer pad welds of nuclear fuel pins by applying neural network analysis of acoustic emission signals

P. Kalyanasundaram, C.K. Mukhopadhyay, C. Rajagopalan [...]

Science and Technology of Welding and Joining

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Research article

First published 1946-6

Some Considerations in the Design of Class 1 Pressure Vessels

E. J. Heeley

Proceedings of the Institution of Mechanical Engineers

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Research article

First published 2020-5

Prediction of the surface quality of friction stir welds by the analysis of process data using Artificial Neural Networks

R Hartl, B Praehofer, MF Zaeh

Proceedings of the Institution of Mechanical Engineers,Part L: Journal of Materials: Design and Applications

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Research article

First published 2012-10

Fatigue design of lightweight welded vehicle structures: influence of material and production procedures

Zuheir Barsoum, Jack Samuelsson, Bertil Jonsson [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2025-10

Deep learning-based autonomous weld quality inspection in battery pack manufacturing using a two-stage model

Seungmin Lee, Wooyoung Chung, Beomseong Kim [...]

Science Progress

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Research article

First published 2022-10

Image recognition of limited and imbalanced samples based on transfer learning methods for defects in welds

Zaifang Zhang, Wei Liu, Xiwu Sun

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2012-10

Advanced perception,navigation and planning for autonomous in-water ship hull inspection

Franz S Hover, Ryan M Eustice, Ayoung Kim [...]

The International Journal of Robotics Research

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