Japanese page RELOAD
SCEJ 54th Autumn Meeting (Fukuoka, 2023)
Program search result : 予測 : 33 programs
The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.
Title (J) field includes “予測”; 33 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 | A100 | Development of an estimation model for condensate water composition in EGR of internal combustion engines | EGR condensate water pH | ST-22 | 441 |
| Day 1 | H101 | Development of machine learning model for CO2 absorption performance of blended amine solutions | CO2 absorption machine learning amine | ST-21 | 445 |
| Day 1 | PA117 | Machine learning model for predicting jet fuel fraction yield in catalytic cracking of vegetable oils | catalytic cracking sustainable aviation fuel machine learning | SY-62 | 563 |
| Day 1 | PA120 | Construction of yield prediction model in catalytic cracking of vegetable oils using transfer learning between different catalysts | catalytic cracking transfer learning vegetable oil | SY-62 | 647 |
| Day 1 | PA123 | Construction of the prediction model for graphene domain size synthesized by chemical vapor deposition | Machine Learning chemical vapor deposition graphene | SY-62 | 527 |
| Day 1 | H102 | Predicting Physical Properties of Structurally Unknown Polymers Using Spectroscopy Data | Machine Learning Predict Descriptor | ST-21 | 353 |
| Day 1 | H104 | [Featured presentation] Multimodal Deep Learning for Predictions of Various Properties of Composite Materials | multimodal deep learning materials informatics generative deep learning | ST-21 | 602 |
| Day 1 | Y104 | [Invited lecture] Prediction of the interaction parameters between CO2 and organic solvent for the PR EoS using an ANN | Peng-Robinson Equation of State Artificial Neural Network | ST-26 | 197 |
| Day 1 | K106 | Performance prediction for OARO concentration of Li brine with CTA hollow fiber membrane modules | cellulose triacetate hollow fiber brine concentration | SY-61 | 749 |
| Day 1 | PA117 | Machine learning model for predicting jet fuel fraction yield in catalytic cracking of vegetable oils | catalytic cracking sustainable aviation fuel machine learning | SY-62 | 563 |
| Day 1 | PA123 | Construction of the prediction model for graphene domain size synthesized by chemical vapor deposition | Machine Learning chemical vapor deposition graphene | SY-62 | 527 |
| Day 1 | H115 | [Invited lecture] Prediction and control of bacterial evolution through high-throughput automated experiments using robots | Laboratory automation Laboratory evolution Escherichia coli | ST-21 | 805 |
| Day 1 | PA120 | Construction of yield prediction model in catalytic cracking of vegetable oils using transfer learning between different catalysts | catalytic cracking transfer learning vegetable oil | SY-62 | 647 |
| Day 1 | H117 | Deep learning model for predicting all protein-protein interactions from sequence data | Cross attention deep learning prediction | ST-21 | 33 |
| Day 1 | H122 | High accuracy prediction of edible oil oxidation stability by multivariate analysis incorporating chemiluminescence information | multivariate analysis oxidative stability edible oil | ST-21 | 686 |
| Day 1 | J122 | Prediction of evaporation phenomena for microwave heating using dimensionless numbers | microwave evaporation dimensionless number | SY-57 | 171 |
| Day 1 | A126 | Mixing prediction based on Poincaré map in an oscillatory baffled reactor at low oscillatory Reynolds number | Oscillatory flow Laminar mixing Poincare map | ST-22 | 852 |
| Day 2 | H201 | Elucidation of appropriate data acquisition conditions for API concentration prediction by NIR | NIR Spectrum diffuse reflectance measurement API concentration prediction | ST-21 | 741 |
| Day 2 | E202 | Temperature and pH Dependent Prediction Method for Generated Silica Scale Based on Computational Chemistry | silica scale prediction method computational chemistry | SY-83 | 151 |
| Day 2 | PA203 | Prediction of the polymer gel-solvent interaction parameter χ using support vector regression | polymer gel interaction parameter machine learning | SY-79 | 178 |
| Day 2 | PA249 | Prediction Model for Polymorphs of Coated Glycine in Particle Composites Using a Taylor Continuous Crystallizer | Crystal Polymorph Continuous Crystallization Machine Learning | SY-79 | 893 |
| Day 2 | H203 | Novel encoding method for high dimensional power consumption data in distributed energy system for short-term electricity demand forecasting | electricity demand prediction distributed energy system big data | ST-21 | 550 |
| Day 2 | H205 | Gaussian Process Regression Approaches for Process Optimization: A Case Study of Interface State Density Prediction between Insulator and Semiconductor | Gaussian process regression length-scale Metal-oxide-semiconductor | ST-21 | 204 |
| Day 2 | PA246 | Energy prediction by neural network with self-supervised learning for catalyst | Neural networks self-supervised learning catalyst energy prediction | SY-79 | 559 |
| Day 2 | E208 | Hydrological simulation for the prediction of algal growth in the Murou Dam Reservoir | Hydrological simulation Murou Dam Reservoir SWAT | SY-83 | 601 |
| Day 2 | Y213 | [Review lecture] Proposal of Molecular Representation and Inference Methods for Biodegradability Prediction QSAR System | Decision support system biodegradation chemical descriptors | SY-51 | 182 |
| Day 2 | S216 | Improvement of COSMO-SAC method for estimating vapor pressure of metal complex | COSMO-SAC metal complex vapor pressure | ST-24 | 824 |
| Day 2 | E217 | Prediction of the CO2 gas flow quantity of the CCU reproduction tower by AI technology | CCU CO2 AI technology | SY-83 | 748 |
| Day 2 | D221 | Prediction of power number and flow pattern in a horizontal cylindrical mixing tank by CFD | Horizontal cylindrical tank CFD VOF | SY-56 | 630 |
| Day 3 | Z301 | Prediction of densities of homogeneous phase fluid mixtures for a CO2/organic solvent system using an Artificial Neural Network | Artificial Neural Network carbon dioxide density | SY-51 | 377 |
| Day 3 | H305 | Simulation of crosslinked network structure formation and prediction of physical properties of bifunctional monomers using a lattice model | lattice model cross-link photopolymerization | SY-82 | 159 |
| Day 3 | E307 | [Invited lecture] Dependence of strain on the radical degradation rate of fluororubber sealant - Prediction of O-ring degradation using Finite Elements Methods - | Radical attack Fluororubber | SY-84 | 1066 |
| Day 3 | S319 | Prediction of aerobic fermentation behavior of waste mushroom bed in a fed-batch reactor | microbial kinetics waste biomass utilization CO2 and heat supply | ST-29 | 988 |
| DispCtl: |
|---|
Technical program
Technical sessions (Wide)
(For narrow screen)
Session programs
Search in technical program
SCEJ 54th Autumn Meeting (Fukuoka, 2023)
© 2023 The Society of Chemical Engineers, Japan. All rights reserved.For more information contact Organizing Committee of SCEJ 54th Autumn Meeting
E-mail: inquiry-54f
www4.scej.org