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SCEJ 53rd Autumn Meeting (Nagano, 2022)
Program search result : 予測 : 27 programs
The preprints can be viewed by clicking the Paper IDs.
Yellow-back sessions on Technical sessions will be On-site/online Hybrid sessions, others are Online sessions.
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Yellow-back sessions on Technical sessions will be On-site/online Hybrid sessions, others are Online sessions.
Please check notices on menu page.
Title (J) field includes “予測”; 27 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 | CA101 | Prediction of regeneration energies for non-aqueous amine CO2 absorbents | CO2 capture organic solvents NMR | SY-51 | 95 |
| Day 1 | FA101 | Short term electricity demand forecasting from high dimensional data on microgrid with gradient boosting decision tree model | Electrical demand forecasting microgrid high dimensional data | ST-22 | 226 |
| Day 1 | PB114 | Construction of Sequence-based prediction model for high expression VHH clones using machine learning | VHH machine learning production | SY-67 | 733 |
| Day 1 | PB133 | Prediction of culture phase of Saccharomyces cerevisiae using image analysis technology | Saccharomyces cerevisiae Image analysis microscope | SY-67 | 637 |
| Day 1 | DB108 | Simulation of molten glass flow from a nozzle to predict conditions at the bottom of a glass melter | molten glass glass melter CFD | SY-52 | 282 |
| Day 1 | BA109 | [Featured presentation] Prediction of a feed factor of two-component powder in a twin screw feeder | Process modeling Feed factor Multi-component powder | SY-64 | 517 |
| Day 1 | DJ113 | [Review lecture] Improvement of prediction accuracy of W-ALD deposition rate by machine learning | Machine Learning ALD Simulation | ST-24 | 221 |
| Day 1 | DJ117 | Study of estimating vapor pressure of metal complex with COSMO-SAC method | vapor pressure metal complex COSMO-SAC | ST-24 | 686 |
| Day 1 | PB133 | Prediction of culture phase of Saccharomyces cerevisiae using image analysis technology | Saccharomyces cerevisiae Image analysis microscope | SY-67 | 637 |
| Day 1 | CA121 | Application to predict the extraction amount of naturally derived components using Hansen solubility parameter | Cohesive energy density Solid liquid extraction Vanillin | SY-51 | 403 |
| Day 1 | CB121 | Prediction of molecular weight distribution of protein decomposition in subcritical water | subcritical water protein Molecular weight distribution | SY-73 | 690 |
| Day 1 | DD121 | Study on the prediction formula about pressure drop of air filter consisting of two diameter types of fiber | Air filter Fiber diameter Pressure drop | SY-53 | 275 |
| Day 1 | PB114 | Construction of Sequence-based prediction model for high expression VHH clones using machine learning | VHH machine learning production | SY-67 | 733 |
| Day 2 | BB201 | Performance prediction of CO2 capture simulating change in solution properties of degraded amine solution | chemical absorption process simulation reaction rate | SY-82 | 211 |
| Day 2 | CA204 | Prediction of thermal conductivity for polymer-based composite materials using machine learning | Thermal conductivity Machine learning Polymer-based composite material | SY-51 | 91 |
| Day 2 | BB206 | Prediction of pellet density of Japanese cedar from pelletizing conditions | pelletizing pressure moisture regression analysis | SY-82 | 794 |
| Day 2 | AB216 | A simplified simulation model of Marangoni deformation of a solution droplet during drying | film formation Marangoni convection modeling | SY-55 | 340 |
| Day 2 | DD218 | Freeze-drying process control for quality preservation based on prediction of microcollapse development | freeze-drying collapse | SY-58 | 110 |
| Day 2 | CB221 | Modeling of solute elution behavior in supercritical fluid chromatography based on distribution coefficient | supercritical CO2 ethanol partition coefficient | SY-73 | 740 |
| Day 3 | AB301 | Adsorption Rate Prediction of Granular Activated Carbon Packed Bed using CFD | Adsorption Rate CFD Activated Carbon | SY-55 | 33 |
| Day 3 | PA305 | Prediction of agglomeration behavior in fuel cell catalyst ink by simulation | fuel cell simulation particle agglomeration | ST-23 | 99 |
| Day 3 | PA313 | Study and analysis of clustering methods for high-dimensional "Energy Data" for building power forecasting models | energy system machine learning data science | ST-23 | 544 |
| Day 3 | BB303 | [Invited lecture] Water related future projection and adaptation options in IPCC AR6 | water resources flood adaptation to climate change | SY-83 | 86 |
| Day 3 | PB308 | A research for descriptors that contribute to the prediction accuracy of ion solvation extractability to Au(III) by machine learning. | machine learning solvent extraction gold | SY-57 | 259 |
| Day 3 | PA312 | Analysis of high-dimensional energy data and application of regression models toward generalized electricity demand forecasting | energy system machine learning data science | ST-23 | 265 |
| Day 3 | AC322 | Prediction method combining CFD and PBM of droplet size distribution in a turbulent liquid-liquid stirred vessel | mixing PBM liquid-liquid dispersion | SY-54 | 468 |
| Day 3 | DC322 | Effect of physics-based feature engineering in predicting product yields of catalytic cracking reactions | catalytic cracking machine learning feature engineering | ST-21 | 101 |
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SCEJ 53rd Autumn Meeting (Nagano, 2022)
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