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SCEJ 86th Annual Meeting (2021)

Program search result : 学習 : 9 programs

The preprints(abstracts) are now open (Mar. 8th). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants (excludes free registration) and invited persons are required.

Title (J) field includes “学習”; 9 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
14:2015:20
PA120Product yield prediction using machine learning in co-processing of bio-oil and heavy oil in catalytic cracking
(Shinshu U.) *(Stu)Yasuike Shun, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Koyama Michihisa, (Reg)Shimada Iori
machine learning
catalytic cracking
bio-oil model compound
5-a525
Day 1
14:2015:20
PA132Application of machine learning in yield prediction of biomass liquefaction using solvolysis
(Shinshu U.) *(Stu)Fukutani Emi, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Takahashi Nobuhide, (Reg)Shimada Iori
machine learning
bio-oil
solvolysis
5-g408
Day 1
15:0015:20
L119Design method of CO2-Assisted Polymer Compression multilayer membrane using deep learning
(AIST) (Reg)Aizawa Takafumi
carbon dioxide
multilayer membrane
deep learning
8-e4
Day 1
16:4017:00
L124Development of predictive method of partition coefficient of organics between high-pressure carbon dioxide and water using machine learning
(AIST) *(Reg)Fujii Tatsuya, Kobune Marina, (Reg)Kawasaki Shin-ichiro
machine learning
partition coefficient
high-pressure carbon dioxide
8-b310
Day 2
10:0010:20
K204Product composition prediction of catalytic cracking reaction with machine learning and feature engineering
(Shinshu U.) *(Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Koyama Michihisa
machine learning
feature engineering
catalytic cracking
5-a403
Day 2
10:2011:20
PB230Highly Efficient Screening of Biocompatible Ionic Liquids Based on Machine Learning
(Kyushu U.) *(Stu)Miyazaki Yuusuke, (Reg)Kamiya Noriho, (Reg)Goto Masahiro
Ionic liquid
Machine learning
Drug delivery system
7-e336
Day 2
11:4012:00
L209Off-line pre-learning for applying safe reinforcement learning to process control
(Kyoto U.) Kawamura Seishiro, *(Reg)Kano Manabu
Reinforcement Learning
Process Control
6-d644
Day 2
13:4014:00
M215Visualization of neurotransmitter secretion concerning with learning by fluorescent probe of molecularly imprinted polymer
(Shibaura Inst. Tech.) *(Reg)Yoshimi Yasuo, (Stu)Teshima Narumi, (Stu)Endo Kenta
Molecularly Imprinted Polymer
Imaging
Neurotransmitter
7-b202
Day 3
14:2015:20
PE318Determination of parameters in discrete element method for non-spherical particles by machine learning
(Osaka Pref. U.) *(Stu)Sumiya Shotaro, (Reg)Iwasaki Tomohiro
Discrete Element Method
Machine Learning
Non-spherical particle
2-f273

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SCEJ 86th Annual Meeting (2021)


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