Manabu Kano 研究室

主宰者：Manabu Kano

京都大学

AI 要約（直近 5 年の研究成果）

本研究室は、製造プロセスにおける複雑な現象を数学モデルや機械学習を用いて予測・最適化する研究に取り組んでいます。医薬品製造、半導体加工、セメント生産、石油精製など、多様な産業プロセスを対象としており、運転条件から製品品質を予測したり、最適な操業条件を見出したりする手法を開発しています。少ない実験データから正確な予測モデルを構築することで、製造業の効率化や品質保証を実現することを目指しています。モデル構築では、物理法則に基づいた理論モデルと、データからパターンを学ぶ機械学習モデルを組み合わせる「グレーボックス」アプローチを活用しています。また、ある製造条件で得たデータを別の条件へ転用する転移学習や、限定的なデータから実験なしに新しい条件での品質を予測するゼロショット回帰など、実験効率を高める方法を開発しています。さらに研究室は、医工学分野にも展開しており、心電図や脳波などの生体信号から疾患の危険性を事前に予測するモデルや、患者の血糖値変動を個別に予測するシステムの開発も進めています。こうした多領域での研究を通じて、データ科学的手法により複雑なシステムを理解し、制御する技術の確立に貢献しています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（65 件）

[2025] Machine Learning-Based Optimization of Thermodynamic Performance of Combustion Processes in a Cement Manufacturing Plant
DOI: https://doi.org/10.1021/acsengineeringau.5c00050
[2025] Prediction of Maximum and Minimum Postprandial Blood Glucose Levels in People with Diabetes
DOI: https://doi.org/10.1109/apsipaasc65261.2025.11249145
[2025] A Generic Method for Reaction Rate Modeling in Sequential Polymerization Reactions
DOI: https://doi.org/10.1080/00219592.2025.2530567
[2025] Enhancing reliability of data-driven soft sensors with stable loss function and sample graph
DOI: https://doi.org/10.1016/j.compchemeng.2025.109303
[2025] Proactive-residence time distribution method for determining low-risk setpoints of critical material attributes in pharmaceutical continuous manufacturing
DOI: https://doi.org/10.1016/j.ijpharm.2025.125922
[2025] Post-Processing of R Wave Detection to Enhance Heart Rate Variability Analysis *
DOI: https://doi.org/10.1109/embc58623.2025.11254363
[2025] Development of an Algorithm for Extracting Limb Movement Candidates Using Surface Electromyography
DOI: https://doi.org/10.1109/embc58623.2025.11252989
[2025] Benchmark Algorithm for Surface Electromyography-Based Periodic Limb Movement Detection
DOI: https://doi.org/10.1109/embc58623.2025.11252797
[2025] Classifier-Guided Diffusion Model for Generating Disease-Specific ECG Data: A Case Pilot Study on Inferior Myocardial Infarction
DOI: https://doi.org/10.1109/embc58623.2025.11253197
[2025] TimeGPT-based multi-step-ahead key quality indicator forecasting for industrial processes
DOI: https://doi.org/10.1016/j.conengprac.2025.106410

続きを表示（残り 55 件）

[2025] Automated physical model building from literature sources: Combining equations based on four predefined requirements
DOI: https://doi.org/10.1016/j.compchemeng.2025.109147
[2025] Sequential KDE‑guided zero-shot regression under process changes across materials
DOI: https://doi.org/10.1016/j.compchemeng.2025.109522
[2025] Quantification of Impact of Uncertainty on Emissions in a Cement Manufacturing Plant: Surrogate Modeling-Based Approach
DOI: https://doi.org/10.1021/acsomega.4c10194
[2025] Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model
DOI: https://doi.org/10.1016/j.ijpharm.2025.125357
[2025] VARAT: Variable Annotation Tool for Documents on Manufacturing Processes
DOI: https://doi.org/10.1080/00219592.2025.2454461
[2025] Image-guided high-dose-rate interstitial brachytherapy with custom-made surface applicators for lower lip cancer as monotherapy. Technique, long-term clinical results, and quantitative dose-volume evaluation: A case series
DOI: https://doi.org/10.5114/jcb.2025.147943
[2025] Comparative Study on Experimental Design Methods for Optimization of Film Deposition Conditions in Semiconductor Manufacturing
DOI: https://doi.org/10.9746/sicetr.61.278
[2025] Heterogeneous Transfer Learning from Batch to Continuous Direct Compression Tablet Manufacturing
DOI: https://doi.org/10.1016/j.ifacol.2025.07.166
[2024] Postoperative Delirium Prediction Based on Preoperative Electrocardiogram and Electroencephalogram
DOI: https://doi.org/10.1109/apsipaasc63619.2025.10848992
[2024] Utilizing Broad-sense Data is the Key to Manufacturing DX
DOI: https://doi.org/10.4325/seikeikakou.36.497
[2024] Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach
DOI: https://doi.org/10.1049/cit2.12393
[2024] Grey‐box modelling for estimation of optimum cut point temperature of crude distillation column
DOI: https://doi.org/10.1049/cit2.12386
[2024] Transfer Learning Based on Generative Adversarial Networks: Application to Chemical Reaction Process*
DOI: https://doi.org/10.1109/codit62066.2024.10708203
[2024] Validity of High-Dose-Rate Interstitial Brachytherapy as Monotherapy for Mobile Tongue Cancer in Terms of the Acute Mucosal Reaction
DOI: https://doi.org/10.2739/kurumemedj.ms7112003
[2024] Prediction and optimisation of gasoline quality in petroleum refining: The use of machine learning model as a surrogate in optimisation framework
DOI: https://doi.org/10.1049/cit2.12324
[2024] Feed factor profile prediction model for two-component mixed powder in the twin-screw feeder
DOI: https://doi.org/10.1016/j.ijpx.2024.100242
[2024] Plant wide modelling and thermodynamic optimization of a petroleum refinery for improvement potentials
DOI: https://doi.org/10.1016/j.psep.2024.05.006
[2024] EnvFormer: A Decomposition-Based Transformer for Multistep Burn-Through Point Prediction in the Sintering Process
DOI: https://doi.org/10.1109/tim.2024.3470034
[2024] Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis
DOI: https://doi.org/10.2131/jts.49.231
[2023] Development of anepileptic seizure prediction algorithm using R–R intervals with self-attentive autoencoder
[2023] Anomaly detection of semiconductor processing equipment using equipment behaviour
DOI: https://doi.org/10.1080/18824889.2023.2279338
[2023] Heat illness detection with heart rate variability analysis and anomaly detection algorithm
DOI: https://doi.org/10.1016/j.bspc.2023.105520
[2023] Artificial intelligence based prediction of optimum operating conditions of a plate and fin heat exchanger under uncertainty: A gray-box approach
DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2023.124653
[2023] Nearest Neighbor Search-Based Modification of RRI Data with Premature Atrial Contraction and Premature Ventricular Contraction
DOI: https://doi.org/10.23919/siceiscs57194.2023.10079199
[2023] Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder
DOI: https://doi.org/10.1109/tiv.2023.3308575
[2023] GAN-based Homogenous Transfer Learning Method for Regression Problems*
DOI: https://doi.org/10.1109/ccta54093.2023.10252827
[2023] Setpoint Determination Method for Pharmaceutical Continuous Manufacturing: Proactive-RTD-based Approach *
DOI: https://doi.org/10.1109/ccta54093.2023.10253250
[2023] Prediction and optimization of exergetic efficiency of reactive units of a petroleum refinery under uncertainty through artificial neural network-based surrogate modeling
DOI: https://doi.org/10.1016/j.psep.2023.07.046
[2023] Simple algorithm for judging equivalence of differential-algebraic equation systems
DOI: https://doi.org/10.1038/s41598-023-38254-y
[2023] Just-in-time based soft sensors for process industries: A status report and recommendations
DOI: https://doi.org/10.1016/j.jprocont.2023.103025
[2023] Greedy design space construction based on regression and latent space extraction for pharmaceutical development
DOI: https://doi.org/10.1016/j.ijpharm.2023.123178
[2023] Data-driven soft sensors in blast furnace ironmaking: a survey
DOI: https://doi.org/10.1631/fitee.2200366
[2023] Stacked supervised Poisson autoencoders-based soft-sensor for defects prediction in steelmaking process
DOI: https://doi.org/10.1016/j.compchemeng.2023.108182
[2023] Automation on thermal control of blast furnace
DOI: https://doi.org/10.1016/j.dche.2023.100085
[2023] Multivariate Deep Reconstruction Neural Network for Multi-step-ahead Prediction of Industrial Process Quality Variables
DOI: https://doi.org/10.1016/j.ifacol.2023.10.1400
[2022] An intelligent sensing system for estimation of efficiency of carbon-capturing unit in a cement plant
DOI: https://doi.org/10.1016/j.jclepro.2022.134359
[2022] Prediction of optimum operating conditions of a furnace under uncertainty: An integrated framework of artificial neural network and genetic algorithm
DOI: https://doi.org/10.1016/j.fuel.2022.125563
[2022] R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset
DOI: https://doi.org/10.1016/j.clinph.2022.04.012
[2022] Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease
DOI: https://doi.org/10.1016/j.artmed.2022.102310
[2022] Gray-Box Model-Based Predictive Control of Czochralski Process with Successive Model Update
DOI: https://doi.org/10.1252/jcej.21we096
[2022] Closed-loop identification of plant and disturbance models based on data-driven generalized minimum variance regulatory control
DOI: https://doi.org/10.1016/j.jprocont.2022.05.002
[2022] ProcessBERT: A Pre-trained Language Model for Judging Equivalence of Variable Definitions in Process Models*
DOI: https://doi.org/10.1016/j.ifacol.2022.07.568
[2022] Development of an epileptic seizure prediction algorithm using R–R intervals with self-attentive autoencoder
DOI: https://doi.org/10.1007/s10015-022-00832-0
[2022] Sleep-EEG-based parameters for discriminating fatigue and sleepiness
DOI: https://doi.org/10.3389/frsle.2022.975415
[2021] Screening of sleep apnea based on heart rate variability and long short-term memory
DOI: https://doi.org/10.1007/s11325-020-02249-0
[2021] Identifying Causal Factors by Mean-value Replacement Contribution
DOI: https://doi.org/10.9746/sicetr.57.86
[2021] Real-driving-implementable drowsy driving detection method using heart rate variability based on long short-term memory and autoencoder
DOI: https://doi.org/10.1016/j.ifacol.2021.10.310
[2021] Prediction Performance and Economic Efficiency of Soft Sensors for in-Line Water Content Monitoring in Fluidized Bed Granulation: PP-Based Model vs. NIRS-Based Model
DOI: https://doi.org/10.1248/cpb.c20-01016
[2021] Gray-box Soft Sensor for Water Content Monitoring in Fluidized Bed Granulation
DOI: https://doi.org/10.1248/cpb.c21-00777
[2021] Model-Based Quality, Exergy, and Economic Analysis of Fluidized Bed Membrane Reactors
DOI: https://doi.org/10.3390/membranes11100765
[2021] Gray-box model-based predictive control of Czochralski process
DOI: https://doi.org/10.1016/j.jcrysgro.2021.126299
[2021] Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions
DOI: https://doi.org/10.3390/en14165072
[2021] Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes
DOI: https://doi.org/10.1109/tase.2021.3080977
[2021] Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis
DOI: https://doi.org/10.3390/s21093235
[2021] Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data
DOI: https://doi.org/10.3389/fpubh.2021.630640

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AI 要約（直近 5 年の研究成果）

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研究成果（65 件）

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