[3F5-GS-10] AI application: Manufacturing

Thu. May 30, 2024 3:30 PM - 5:10 PM Room F (Temporary room 4)

座長：高橋大志（NTT）

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3:30 PM - 3:50 PM

[3F5-GS-10-01] A Note on Similar Case Retrieval via Deep Metric Learning Using Sensor Data Obtained from Semiconductor Manufacturing Equipment

〇Naoki Saito¹, Ren Togo¹, Keisuke Maeda¹, Ruiki Kobayashi², Takahiro Nakamura², Motohiro Okaya², Masato Kazui², Takahito Matsuzawa², Takahiro Ogawa¹, Miki Haseyama¹ (1. Hokkaido University, 2. Tokyo Electron Limited)

3:50 PM - 4:10 PM

[3F5-GS-10-02] Development of a surrogate model for predicting fiber orientation in fiber-reinforced resin parts

〇Yoshikazu Nakagawa¹, Osamu Ito², Yasuhiro Kumatani³ (1. Honda Motor Co., Ltd. , 2. Honda R&D Co., Ltd. , 3. IDAJ Co., LTD. )

4:10 PM - 4:30 PM

[3F5-GS-10-03] Compressive strength prediction for concrete materials using machine learning

〇Ken Koyama¹, Tomoya Nishiwaki¹ (1. Graduate School of Engineering, Tohoku University)

4:30 PM - 4:50 PM

[3F5-GS-10-04] Anomaly detection of interference lithography system

〇Shinji Orihara¹, Kentaro Nomoto¹, Kota Hiroshima¹, Youhei Nawaki¹, Kazuyuki Tsuruoka¹ (1. USHIO INC.)

4:50 PM - 5:10 PM

[3F5-GS-10-05] Introducing Explainable AI into an Anomaly detection for Automated Visual Inspection

〇Junichi Nakai¹, Masanori Takada¹, Kenji Asano¹, Satoshi Wakamatsu¹, Koichi Takeda² (1. ADVICS CO.,LTD., 2. Nagoya University)

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