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SCEJ 88th Annual Meeting (Tokyo, 2023)

Program search result : AI : 5 programs

The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.

Keywords field exact matches “AI”; 5 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 3
11:2011:40
I308Investigation of data quality for achieving robust deep learning cell image processing
(Nagoya U.) *(Stu)Shiina Takeru, (Stu)Kimura Kazue, Takemoto Yuto, (Reg)Tanaka Kenjiro, (Reg)Kato Ryuji
segmentation
AI
data design
7-e75
Day 3
13:4014:20
B315[Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning
(Facility Eng. Laboratory) (Reg)Matsuda Hiroyasu
AI
Decision Tree
Damage Mechanism Prediction
SS-5333
Day 3
16:0017:30
Q304[Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning
(Facility Eng. Laboratory) (Reg)Matsuda Hiroyasu
AI
Decision Tree
Damage Mechanism Prediction
SS-7338
Day 3
16:0017:30
Q308[Requested talk] Introduction of AI support for overall plant operation including optimization and anomaly detection
(Chiyoda) *(Cor)Sato Hideki, (Cor)Ogawa Rentaro, (Cor)Furuichi Kazuya
AI
anomaly detection
operation improvement
SS-7369
Day 3
16:0017:30
Q314[Invited lecture] AI use cases in predictive maintenance that have entered the practical stage
(Brains Tech.) Hayashi Takuma
AI
Machine Learning
Predictive Maintenance
SS-7393

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SCEJ 88th Annual Meeting (Tokyo, 2023)


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