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Manabu Kano

Manabu Kano

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8804
World Ranking
6063
National Ranking
111

Overview

Manabu Kano is affiliated with Kyoto University in Japan and specializes in the field of engineering, with a particular focus on control and systems engineering. Their research spans several subfields including mechanical engineering, artificial intelligence, biomedical engineering, and cognitive neuroscience.

Their work involves multiple main topics of study, particularly:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Mineral Processing and Grinding
  • Heart Rate Variability and Autonomic Control
  • Spectroscopy and Chemometric Analyses
  • Process Optimization and Integration
  • Advanced Statistical Process Monitoring

Manabu Kano has contributed extensively to scientific publications. Some notable recent papers include:

  • Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis (2020), published in Frontiers in Public Health
  • Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability (2020), published in Sensors
  • Data-driven soft sensors in blast furnace ironmaking: a survey (2023), published in Frontiers of Information Technology & Electronic Engineering
  • Gray-box Soft Sensors in Process Industry: Current Practice, and Future Prospects in Era of Big Data (2020), published in Processes
  • Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes (2021), published in IEEE Transactions on Automation Science and Engineering

Frequent co-authors collaborating with Manabu Kano include:

  • Shota Kato
  • Koichi Fujiwara
  • Xinmin Zhang
  • Iftikhar Ahmad
  • Hakan Çalışkan

Regarding publication venues, Kano's work appears most often in:

  • Computers & Chemical Engineering
  • IFAC-PapersOnLine
  • Chemical and Pharmaceutical Bulletin
  • CAAI Transactions on Intelligence Technology
  • International Journal of Pharmaceutics

Best Publications

  • Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry

    Manabu Kano;Yoshiaki Nakagawa

  • Monitoring independent components for fault detection

    Manabu Kano;Shouhei Tanaka;Shinji Hasebe;Iori Hashimoto

  • Soft‐sensor development using correlation‐based just‐in‐time modeling

    Koichi Fujiwara;Koichi Fujiwara;Manabu Kano;Manabu Kano;Shinji Hasebe;Shinji Hasebe;Akitoshi Takinami;Akitoshi Takinami

  • A new multivariate statistical process monitoring method using principal component analysis

    Manabu Kano;Shinji Hasebe;Iori Hashimoto;Hiromu Ohno

  • The state of the art in chemical process control in Japan: Good practice and questionnaire survey

    Manabu Kano;Morimasa Ogawa

  • Biodiesel Production from Palm Oil, Its By-Products, and Mill Effluent: A Review

    Khairul Azly Zahan;Manabu Kano

  • CFD-based optimal design of manifold in plate-fin microdevices

    Osamu Tonomura;Shotaro Tanaka;Masaru Noda;Manabu Kano

  • Inferential control system of distillation compositions using dynamic partial least squares regression

    Manabu Kano;Koichi Miyazaki;Shinji Hasebe;Iori Hashimoto

  • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem

    Manabu Kano;Koji Nagao;Shinji Hasebe;Iori Hashimoto

  • Practical Model and Detection Algorithm for Valve Stiction

    Manabu Kano;Hiroshi Maruta;Hidekazu Kugemoto;Keiko Shimizu

  • Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG

    Koichi Fujiwara;Erika Abe;Keisuke Kamata;Chikao Nakayama

  • Virtual Sensing Technology in Process Industries: Trends and Challenges Revealed by Recent Industrial Applications

    Manabu Kano;Koichi Fujiwara

  • Statistical process monitoring based on dissimilarity of process data

    Manabu Kano;Shinji Hasebe;Iori Hashimoto;Hiromu Ohno

  • Evolution of multivariate statistical process control: application of independent component analysis and external analysis

    Manabu Kano;Shinji Hasebe;Iori Hashimoto;Hiromu Ohno

  • Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features

    Koichi Fujiwara;Miho Miyajima;Toshitaka Yamakawa;Erika Abe

  • Estimation of active pharmaceutical ingredients content using locally weighted partial least squares and statistical wavelength selection.

    Sanghong Kim;Manabu Kano;Hiroshi Nakagawa;Shinji Hasebe

  • Detection and Diagnosis of Stiction in Control Loops State of the Art and Advanced Methods

    Shoukat Choudhury;Peter He;Alexander Horch;Manabu Kano

  • Development of soft-sensor using locally weighted PLS with adaptive similarity measure

    Sanghong Kim;Ryota Okajima;Manabu Kano;Shinji Hasebe

  • Comparison of statistical process monitoring methods: application to the Eastman challenge problem

    Manabu Kano;Koji Nagao;Shinji Hasebe;Iori Hashimoto

  • Adaptive Virtual Metrology Design for Semiconductor Dry Etching Process Through Locally Weighted Partial Least Squares

    Toshiya Hirai;Manabu Kano

  • Covariance-based Locally Weighted Partial Least Squares for High- Performance Adaptive Modeling

    Koji Hazama;Manabu Kano

Frequent Co-Authors

Bhavik R. Bakshi
Bhavik R. Bakshi The Ohio State University
Sirish L. Shah
Sirish L. Shah University of Alberta
S. Joe Qin
S. Joe Qin Lingnan University
Zhiqiang Ge
Zhiqiang Ge Zhejiang University
Zhihuan Song
Zhihuan Song Zhejiang University
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Christos Georgakis
Christos Georgakis Tufts University
Juergen Hahn
Juergen Hahn Rensselaer Polytechnic Institute
Nina F. Thornhill
Nina F. Thornhill Imperial College London
Hirofumi Takeuchi
Hirofumi Takeuchi Gifu Pharmaceutical University

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