machine learning - Program search result - SCEJ 51st Autumn Meeting (2020)

`SCEJ 51st Autumn Meeting (2020)`

Meeting Info.
Program
- Program Menu
- Tech. Sessions
- narrow view
- Day 1
- Day 2
- Day 3
By Session
- Session list
- Ceremony
  - Ceremony
  - SCEJ Award
- SV: Vison Symp.
  - SV-1
- SP: Spec.Symp.
  - SP-1
  - SP-2
  - SP-3
  - SP-4
- HQ: Hq.,etc.
  - HQ-11
  - HQ-12
  - HQ-14
  - HQ-15
- ST:(21-26)
  - ST-21
  - ST-22
  - ST-23
  - ST-24
  - ST-25
  - ST-26
- SY:(51-59)
  - SY-51
  - SY-52
  - SY-53
  - SY-54
  - SY-55
  - SY-56
  - SY-57
  - SY-58
  - SY-59
- SY:(60-69)
  - SY-60
  - SY-61
  - SY-62
  - SY-63
  - SY-64
  - SY-65
  - SY-66
  - SY-67
  - SY-68
  - SY-69
- SY:(71-79)
  - SY-71
  - SY-72
  - SY-73
  - SY-74
  - SY-75
  - SY-76
  - SY-77
  - SY-78
  - SY-79
- SY:(80-84)
  - SY-80
  - SY-81
  - SY-82
  - SY-83
  - SY-84
By Hall
- Hall list
- A: Ceremony,SV
  - A
- B-N: Oral
  - B
  - C
  - D
  - E
  - F
  - G
  - H
  - I
  - J
  - K
  - L
  - M
  - N
- R-Y: Oral
  - R
  - S
  - T
  - U
  - V
  - W
  - X
  - Y
- P: Poster
Search/Index

Program search result : machine learning : 9 programs

All sessions can be attended from the On-line (Virtual) Meeting Site.
Preprints(Abstracts) are now open. Click the Paper IDs. (Registered participants and invited persons only)
The ID/PW was sent on Sept. 10 (for earlybird registered participants) or on Sept. 23 (for on-site registered participants).
(Aug. 8) Flash session of SY-69 has been cancelled.
(Aug. 24,27) Schedule of SY-74 (X306, X307) and HQ-11 (D301) has been changed.

Keywords field exact matches “machine learning”; 9 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 13:20– 14:00	E114	[Invited lecture] Catalyst Informatics Approach for the Prediction of Catalytic Reaction Yields (AIST) Yada Akira	Catalyst Informatics Machine Learning Catalyst Informatics	SY-80	81
Day 1 14:40– 15:40	PB109	Estimation of structural properties of porous electrode layer by simulation, observation and machine learning (Kyushu U.) *(Stu)Ishikawa S., So M., (Reg)Kimura N., (Reg)Inoue G., (Reg)Tsuge Y.	porous electrode layer machine learning image processing	ST-24	880
Day 1 15:20– 15:40	Y120	Prediction of liquid-liquid equilibria using activity coefficient model with molecular information and machine learning (Tokyo Tech) *(Stu)Murakami H., (Reg)Orita Y., (Reg)Shimoyama Y.	liquid-liquid equilibrium molecular information machine learning	SY-51	604
Day 1 16:40– 17:40	PB142	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	ST-24	732
Day 2 11:00– 11:20	T207	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	SY-67	282
Day 2 12:40– 14:00	PB236	Investigating methods of a medium evaluation system by machine learning. (Kitami Inst. Tech.) *(Stu)Tachibana Seiga, (Reg)Konishi Masaaki	Medium Machine learning component analysis	SY-69	621
Day 2 13:40– 14:00	Y215	Statistical thermodynamics database construction to search for novel ionic liquids with gas absorption (Chuo U.) *(Reg)Kuroki Nahoko, (Reg)Mori Hirotoshi	Ionic liquid Database Machine learning	SY-51	567
Day 3 9:40– 10:00	X303	Estimation of the solubility of biomass derived organic compounds in high-temperature and high-pressure water (Shinshu U.) *(Reg)Osada Mitsumasa, Tamura Kotaro, Otsuki Nao, Matsushita Hayata	Biomass Solubility Machine learning	SY-74	857
Day 3 11:20– 11:40	I308	Application of machine learning to product composition prediction in catalytic cracking reaction (Shinshu U.) *(Reg)Shimada Iori, (Reg)Osada Mitsumasa, (Reg)Fukunaga Hiroshi, (Reg)Koyama Michihisa	machine learning feature engineering catalytic cracking	SY-63	533

DispCtl:	Preferences

Screen preferences
Abstract PDFs view (Some settings may not work as expected.)
Current window
Open another window
Popup view (fit to width)
Popup view (fit to page)
Download
Link panels to Related/Adjacent pages
Show
No show

Technical program
Technical sessions (Wide) (For narrow screen)
Session programs
Search in technical program
SCEJ 51st Autumn Meeting (2020)

www3.scej.org