Journal Articles
Shota Kato, Chunpu Zhang, and Manabu Kano, “Simple Algorithm for Judging Equivalence of Differential-Algebraic Equation Systems,” Scientific Reports, vol. 13, 11534 (2023) doi: 10.1038/s41598-023-38254-y
Shota Kato, Sanghong Kim, Masahiko Mizuta, and Manabu Kano, “Gray-box Model-based Predictive Control of Czochralski Process with Successive Model Update,” Journal of Chemical Engineering of Japan, vol. 55, pp. 154–161 (2022) doi: 10.1252/jcej.21we096
Shota Kato, Sanghong Kim, Masahiko Mizuta, Masanori Oshima, and Manabu Kano, “Gray-box Model-based Predictive Control of Czochralski Process,” Journal of Crystal Growth, vol. 573, p. 126299 (2021) doi: 10.1016/j.jcrysgro.2021.126299
Shota Kato, Sanghong Kim, Manabu Kano, Toshiyuki Fujiwara, and Masahiko Mizuta, “Gray-box Modeling of 300 mm Diameter Czochralski Single-crystal Si Production Process,” Journal of Crystal Growth, vol. 553, p. 125929 (2021) doi: 10.1016/j.jcrysgro.2020.125929
Conference Proceedings
Shota Kato, Makishi Yamamoto, Kotaro Nagayama, and Manabu Kano, “Two-Stage Fine-Tuning for Variable Definition Extraction from Chemical Process-related Papers,” The 2nd Workshop on Data Fusion for Artificial Intelligence (DAFUSAI) (2024) PDF
Kotaro Nagayama, Shota Kato, and Manabu Kano, “Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction,” Natural Language Processing and Information Systems (NLDB), pp. 151–165 (2024) doi: 10.1007/978-3-031-70239-6_11
Shota Kato and Manabu Kano, “Prototype of Automated Physical Model Builder: Challenges and Opportunities,” Computer Aided Chemical Engineering, vol. 53, pp. 2839–2844 (2024) doi: 10.1016/B978-0-443-28824-1.50474-9
Buyun Wang, Shota Kato, and Manabu Kano, “GAN-based Homogenous Transfer Learning Method for Regression Problems,” 2023 IEEE Conference on Control Technology and Applications (CCTA), pp. 85–90 (2023) doi: 10.1109/CCTA54093.2023.10252827
Pasindu Herath Pathirannahalage, Ayumu Nabetani, Shota Kato, Kanta Sato, Keita Yaginuma, Shuichi Tanabe, and Manabu Kano,“Setpoint Determination Method for Pharmaceutical Continuous Manufacturing: Proactive-RTD-based Approach,” 2023 IEEE Conference on Control Technology and Applications (CCTA), pp. 502–507. (2023) doi: 10.1109/CCTA54093.2023.10253250
Shota Kato and Manabu Kano, “Efficient Physical Model Building Algorithm Using Equations Extracted from Documents,” Computer Aided Chemical Engineering, vol. 52, pp. 151–156 (2023) doi: 10.1016/B978-0-443-15274-0.50025-1
Sifeng Chen, Shota Kato, Koichi Fujiwara, and Manabu Kano, “Nearest Neighbor Search-Based Modification of RRI Data with Premature Atrial Contraction and Premature Ventricular Contraction,” 2023 SICE International Symposium on Control Systems (SICE ISCS), pp. 53–57 (2023) doi: 10.23919/SICEISCS57194.2023.10079199
Chunpu Zhang, Shota Kato, and Manabu Kano, “Equivalence Judgment of Equation Groups Representing Process Dynamics,” Computer Aided Chemical Engineering, vol. 49, pp. 1513–1518 (2022) doi: 10.1016/B978-0-323-85159-6.50252-9
Shota Kato and Manabu Kano, “Towards An Automated Physical Model Builder: CSTR Case Study,” Comptuer Aided Chemical Engineering, vol. 49, pp. 1669–1674 (2022) doi: 10.1016/B978-0-323-85159-6.50278-5
Shota Kato, Kazuki Kanegami, and Manabu Kano, “ProcessBERT: A Pre-trained Language Model for Judging Equivalence of Variable Definitions in Process Models,” IFAC-PapersOnLine, vol. 55, Issue 7, pp. 957–962 (2022) doi: 10.1016/j.ifacol.2022.07.568
Preprints
Takeshi Sato, Souta Miyamoto, and Shota Kato, “Rheo-SINDy: Finding a Constitutive Model from Rheological Data for Complex Fluids Using Sparse Identification for Nonlinear Dynamics,” arXiv [cond-mat.soft] (2024) doi: 10.48550/arXiv.2403.14980
Shota Kato and Manabu Kano, “VARAT: Variable Annotation Tool for Documents on Manufacturing Processes,” Authorea (2023) doi: 10.22541/au.168877263.37125070/v1
Masaki Numoto, Shota Kato, and Manabu Kano, “Extracting Variable Definitions from Documents on Chemical Processes Utilizing Semantic Information on Variables,” Authorea (2023) doi: 10.22541/au.168837439.92384779/v1
Conference Presentations
(Under construction)