Interpretable image features for anomaly identification on hexagonal net knitting machines - researchr publication authors

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Tetsuo Imai, Shoya Ogawa, Nobuyuki Yonaga, Kazuki Fukae, Kenichi Arai, Toru Kobayashi. Interpretable image features for anomaly identification on hexagonal net knitting machines. In 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, September 6-9, 2022. pages 1-8, IEEE, 2022. [doi]

This author has not been identified. Look up 'Tetsuo Imai' in GoogleThis author has not been identified. Look up 'Shoya Ogawa' in GoogleThis author has not been identified. Look up 'Nobuyuki Yonaga' in GoogleThis author has not been identified. Look up 'Kazuki Fukae' in GoogleThis author has not been identified. Look up 'Kenichi Arai' in GoogleThis author has not been identified. Look up 'Toru Kobayashi' in Google

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