machine learning - Program search result - SCEJ 85th Annual Meeting (2020)

`SCEJ 85th Annual Meeting (2020)`

Last modified: 2020-03-02 11:00:00

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Search/Index

Program search result : machine learning : 8 programs

The preprints(abstracts) can be viewed by clicking the Paper IDs.
(The ID/PW are sent to the registered participants and invited persons.)
- The program for IChES 2020 is here

Keywords field exact matches “machine learning”; 8 programs are found.
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 13:20– 15:20	PA127	Design of ethylene oxide production process based on Bayesian optimization (Meiji U.) *(Stu)Iwama R., (Reg)Kaneko H.	process design machine learning Bayesian optimization	6-b	117
Day 1 13:20– 15:20	PA129	Development of adaptive soft sensor selection method based on Bayesian optimization (Meiji U.) *(Stu)Yamakage S., (Reg)Kaneko H.	soft sensor model selection machine learning	6-d	136
Day 1 13:20– 15:20	PA133	Development of high activity catalyst with machine learning (Meiji U.) *(Stu)Ebi Tomoya, (Riken) Raghu Raghu D. N., S Abhijit, Yamada Yoichi, (Meiji U.) (Reg)Kaneko Hiromasa	Machine Learning Catalyst Organic Synthesis	6-e	386
Day 1 13:20– 15:20	PA152	Multiple regression analysis of electricity demand with machine learning for grid synchronization distributed generation system (Tokyo Tech) *(Stu)Sasaki Eita, (Stu)Okubo Tatsuya, Kasai Yuuya, (Reg)Hasegawa Kei, (Reg)Ihara Manabu	distributed generation renewable energy machine learning	9-e	541
Day 2 11:20– 11:40	J208	Application of machine learning to catalytic cracking of polycyclic aromatic hydrocarbons (Shinshu U.) *(Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Shinshu U./NIMS) (Reg)Koyama Michihisa	machine learning feature engineering catalytic cracking	5-a	620
Day 2 14:00– 14:20	H216	Numerical investigation of optimal control of SiC crystal growth in the RF-TSSG system using machine learning (Osaka U.) *(Stu)Wang Lei, (Reg)Sekimoto Atsushi, (Reg)Okano Yasunori, (Nagoya U.) Ujihara Toru	TSSG machine learning magnetic field	6-e	378
Day 2 14:20– 14:40	H217	Development of polymer blends using machine learning (ADMAT/DIC) *(Cor)Takada Shingo, (DIC) (Cor)Suzuki Toru, (AIST) (Reg)Takebayashi Yoshihiro, (Reg)Ono Takumi, (Reg)Yoda Satoshi	Machine learning Polymer composite	6-d	157
Day 3 11:00– 11:20	J307	Statistical thermodynamics database construction to search for novel ionic liquids with gas absorption (JST ACT-I/Chuo U.) *(Reg)Kuroki Nahoko, (Chuo U./JST-PRESTO) (Reg)Mori Hirotoshi	Ionic liquid Database Machine learning	1-a	581

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SCEJ 85th Annual Meeting (2020)

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