E304 - Hall E, Day 3 - Hall and day program - SCEJ 55th Autumn Meeting (Sapporo, 2024)

`SCEJ 55th Autumn Meeting (Sapporo, 2024)`

Last modified: 2024-09-09 18:25:12

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Hall and day program : Hall E, Day 3 : E304

The preprints are now open. These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

Hall E(Block B1 1F B11), Day 3(Sep. 13)

ST-22

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
ST-22 [Trans-Division Symposium] Frontiers of Data-driven Research and Development
(9:00–10:20) (Chair: Shimada Iori)
9:00– 9:20	E301	Development of a transfer learning method using O-PLS (Kyoto U.) *(Stu)Fukuoka Norihiko, (Reg)Sotowa Ken-Ichiro, (TUAT) (Reg·APCE)Kim Sanghong	O-PLS transfer learning calibration transfer	ST-22	311
9:20– 9:40	E302	Application of Transfer Learning Using Generative Adversarial Networks to Virtual Sensing (Kyoto U.) Kasuga Yasuko, Yoshida Ryoya, (Reg)Kato Shota, *(Reg)Kano Manabu	transfer learning soft-sensor Generative Adversarial Networks	ST-22	66
9:40– 10:00	E303	Control of foam on white water and improvement of operational efficiency by modeling a soft sensor (RENGO) *(Reg)Okura Y., Inui T., Okahara K.	soft sensor machine learning factory automation	ST-22	95
10:00– 10:20	E304	¹³C-MFA software with a support function for high accuracy flux estimations by proposing additional experiments (Osaka U.) *(Reg)Imada Tatsumi, (Reg)Shimizu Hiroshi, (Reg)Toya Yoshihiro	13C-metabolic flux analysis flux analysis software	ST-22	615
(10:40–12:00) (Chair: Muroga Shun)
10:40– 11:20	E306	[Invited lecture] Autonomous Materials Search (NIMS) Iwasaki Yuma	Machine learning Autonomous Active learning	ST-22	145
11:20– 12:00	E308	[Invited lecture] Representation and Generation of Crystal Structures with Deep Learning (Toyota Motor) Suzuki Yuta	Materials informatics Deep learning Crystal structure	ST-22	894
(13:00–13:40) (Chair: Mukaida Shiho)
13:00– 13:40	E313	[Invited lecture] Introduction to Case Studies on the Development and Utilization of Informatics Technologies (Mitsubishi Chemical) (Cor)Sugisawa Hiroki	Informatics Industry R&D acceleration	ST-22	144
(13:40–14:20) (Chair: Yoshida Hideaki)
13:40– 14:20	E315	[Invited lecture] Digital infrastructure to reduce time to market / R&D to production (Microsoft Japan) Yasunami Yutaka	digital AI data integration	ST-22	616
(14:20–15:00) (Chair: Toya Yoshihiro)
14:20– 15:00	E317	[Invited lecture] Understanding the diversity of metabolisms with the advances of computational metabolomics (TUAT) Tsugawa Hiroshi	metabolomics mass spectrometry informatics	ST-22	142

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SCEJ 55th Autumn Meeting (Sapporo, 2024)

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