Japanese page
SCEJ

SCEJ 84th Annual Meeting (Tokyo, 2019)

Last modified: 2019-03-12 11:30:00

Program search result : Machine learning : 3 programs

The preprints(abstracts) can be viewed by clicking the Paper IDs.
The ID/PW printed on the PROGRAM book are required.
(The ID/PW have also been sent to the Earlybird registers and invited persons by e-mail.)
The programs of HC-13, HC-17, K-1 were updated.

Keywords field exact matches “Machine learning”; 3 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
13:2015:20
PA103Design of propylene production process by propane dehydrogenation reaction using machine learning
(Meiji U.) *(Stu)Yamada Nobuhito, (Reg)Kaneko Hiromasa
machine learning
Design of experiments
6-e24
Day 1
13:2015:20
PA111Classification of 3D Transmission Electron Microscope by Deep Learning Methods
(Kogakuin U.) *(Stu)Kusachi Takashi, (SCAS) Iida Okito, (Kogakuin U.) (Reg)Takaba Hiromitsu
semantic segmentation
machine learning
3D-TEM
6-f1264
Day 2
9:2011:20
PB203Materials informatics for predicting boiling/melting points in high accuracy
(Ochanomizu U.) *(Stu)Anda Yuko, (Stu)Kuroki Nahoko, (Reg)Mori Hirotoshi
Thermodynamic physical property estimation
Machine learning
Electronic structure theory
1-a1269

Technical program
Technical sessions (Wide)  (For narrow screen)
Session programs
Search in technical program
SCEJ 84th Annual Meeting (Tokyo, 2019)


© 2023 The Society of Chemical Engineers, Japan. All rights reserved.
For more information contact SCEJ 84th Annual Meeting Organizing Committee
E-mail: inquiry-84awww3.scej.org