SCEJ 51st Autumn Meeting (2020)
Program search result : 機械学習 : 8 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.
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.
Title (J) field includes “機械学習”; 8 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 | PB109 | Estimation of structural properties of porous electrode layer by simulation, observation and machine learning | porous electrode layer machine learning image processing | ST-24 | 880 |
| Day 1 | Y120 | Prediction of liquid-liquid equilibria using activity coefficient model with molecular information and machine learning | liquid-liquid equilibrium molecular information machine learning | SY-51 | 604 |
| Day 1 | E121 | [Invited lecture] Higher-order structure design of polymeric materials by cooperation of coarse-grained simulation and machine learning | block copolymer phase separation elastic property | SY-80 | 88 |
| Day 1 | PB141 | Development of a power generation simulation model for solar cells including shadow effect by combining operation principles of solar cell and machine learning | Energy system Solar cell Simulation | ST-24 | 668 |
| Day 1 | PB142 | Multiple regression analysis of electricity demand with machine learning for grid synchronization distributed generation system | distributed generation renewable energy machine learning | ST-24 | 732 |
| Day 2 | T207 | Development of polymer blends using machine learning | Machine learning Polymer composite | SY-67 | 282 |
| Day 2 | PB236 | Investigating methods of a medium evaluation system by machine learning. | Medium Machine learning component analysis | SY-69 | 621 |
| Day 3 | I308 | Application of machine learning to product composition prediction in catalytic cracking reaction | machine learning feature engineering catalytic cracking | SY-63 | 533 |
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SCEJ 51st Autumn Meeting (2020)
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