Session Details

[3E2-GS-2g]Machine learning

Wed. Jun 10, 2026 11:00 AM - 12:30 PM JST
Wed. Jun 10, 2026 2:00 AM - 3:30 AM UTC
Room E(Main hall C)

[3E2-GS-2g-01]Performance Comparison of Time Series Foundation Models Using TEPCO Power Grid Regional Supply and Demand Data

〇Kazuki Kiyoshige1, Jin Saito1, Makoto Tasaki1, Akihito Takeuchi1 (1. Daiwa Institute of Research Ltd)

[3E2-GS-2g-02]Anomaly Detection for Electromagnetic Flowmeters Using a BiLSTM-Transformer Hybrid Model

〇Seita Okamoto1,2, Ryoichi Koga2, Satoshi Oyama2 (1. Aichi Tokei Denki Co.,Ltd., 2. Graduate School of Data Science, Nagoya City University)

[3E2-GS-2g-03]Early detection of anomalies for sluice gate facilities by dynamic selection of training data

〇Keitaro Shoji1, Yusuke Motegi1, Yoshitaka Suzuki1 (1. IHI Corporation)

[3E2-GS-2g-04]T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints

Thomas Eiter3, Nelson Higuera3, Katsumi Inoue2, 〇Sota Moriyama1,2 (1. The Graduate University for Advanced Studies, SOKENDAI., 2. National Institute of Informatics, 3. Technical University of Vienna)

[3E2-GS-2g-05]Financial Time Series Forecasting via Multi-scale Hierarchical Next Generation Reservoir Computing

〇Raika Koki1, Ryohei Orihara1, Yasuyuki Tahara1, Yuichi Sei1 (1. The University of Electro-Communications)

[3E2-GS-2g-06]A Study on the Convergence Characteristics of Physics-Informed Neural Networks in Magnetic Field Analysis under Induction Heating Conditions

〇Tomonori Suzuki1, Hiroshi Koizumi2, Kotaro Nakamura2, Yoshinobu Yamade2, Shinichi Mizuhara2, Hiromichi Uetake2 (1. AISIN DIGITAL ENGINEERING Corporation, 2. Mizuho Research & Technologies, Ltd.)