List of received applications (By symposium/topics code)

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6) Systems, information, and simulation technologies

6-g. Others

Most recent update: 2024-12-21 07:14:01

The keywords that frequently used
in this topics code.		KeywordsNumber
machine learning6**
Plant Design2
Odor1

ACKN
No.		Title/Author(s)KeywordsStyle
43Design of new acetylcholinesterase inhibitors using a Generative Adversarial Network
(Meiji U.) *(Stu)Ando Ruka, (Reg)Kaneko Hiromasa		acetylcholinesterase
Generative Adversarial Network
machine learning
P
93Development and improvement of an odor prediction model based on molecular structure using olfactory receptor information
(Meiji U.) *(Stu)Wakutsu Yuta, (Reg)Kaneko Hiromasa		Odor
Protein
Machine Learning
P
120Development of machine learning model-based scores to evaluate pesticide-likeness
(Meiji U.) *(Stu)Sakai Yuta, (Reg)Kaneko Hiromasa		Machine Learning
Quantitative Structure-Activity Relationship
Pesticide
P
221Construction of Property Prediction Model for Polyimide Aerogels Using Semi-Supervised Learning
(Kyoto U.) *(Stu)Yoshikawa Itsuki, (U. Toronto) Tafreshi Omid, Sun Yu-Chen, Matsuura Naomi, (Kyoto U.) (Reg)Sotowa Ken-Ichiro, (U. Toronto) Naguib Hani		Materials Informatics
Polyimide Aerogel
Semi-Supervised Learning
O
333Optimization Study of Plot Plan Using Genetic Algorithm
(JGC) *(Cor)Kokubo Hiroki, (Cor)Yamada Yoshinori, (Cor)Koito Hiroyuki, (Cor)Iwamuro Norito, (Waseda U.) Arakawa Masao		Plant Design
Plot Plan
Genetic Algorithms
O
334Process flow analysis using graph clustering and deployment to Plot Plan design automation
(JGC) *(Cor)Yamada Yoshinori, (Cor)Koito Hiroyuki, (Cor)Kokubo Hiroki, (Cor)Iwamuro Norito, (Cor)Sawayanagi Kaoru		Process Flow Diagram
Plant Design
Graph Clustering
O
340Development of a healthcare society simulator for effective allocation of medical resources
(U. Tokyo) *(Stu,PCEF)Kawada Yusuke, (Reg)Sugiyama Hirokazu		Cost-effectiveness analysis
Microsimulation
Scenario analysis
P
349Development of machine learning models to predict gas permeability from monomer structures and properties of polymer materials
(U. Meiji) *(Stu)Ochiai Haruki, Nagai Kazukiyo, (Reg)Kaneko Hiromasa		Machine Learning
Polymer
Permeability
P
373Building machine learning models to suggest new drug candidates for schizophrenia
(U.Meiji) (Stu)Kimura Shoei		Machine learning
Drug design
Schizophrenia
P
378Development of machine learning models for predicting the degradation activity and thermostability of plastic-degrading enzymes
(Meiji U.) *(Stu)Ohkuma Ayami, (Reg)Kaneko Hiromasa		machine learning
bioinformatics
plastics-degrading enzymes
P
List of received applications (By topics code)
List of received applications
SCEJ 90th Annual Meeting (Tokyo, 2025)

Organizing Committee of SCEJ 90th Annual Meeting (2025)
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