Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry M Kano, Y Nakagawa Computers & Chemical Engineering 32 (1-2), 12-24, 2008 | 569 | 2008 |
Monitoring independent components for fault detection M Kano, S Tanaka, S Hasebe, I Hashimoto, H Ohno AIChE Journal 49 (4), 969-976, 2003 | 519 | 2003 |
Soft‐sensor development using correlation‐based just‐in‐time modeling K Fujiwara, M Kano, S Hasebe, A Takinami AIChE Journal 55 (7), 1754-1765, 2009 | 350 | 2009 |
A new multivariate statistical process monitoring method using principal component analysis M Kano, S Hasebe, I Hashimoto, H Ohno Computers & chemical engineering 25 (7-8), 1103-1113, 2001 | 330 | 2001 |
The state of the art in chemical process control in Japan: Good practice and questionnaire survey M Kano, M Ogawa Journal of Process control 20 (9), 969-982, 2010 | 323 | 2010 |
Biodiesel production from palm oil, its by-products, and mill effluent: A review KA Zahan, M Kano Energies 11 (8), 2132, 2018 | 301 | 2018 |
Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem M Kano, K Nagao, S Hasebe, I Hashimoto, H Ohno, R Strauss, BR Bakshi Computers & chemical engineering 26 (2), 161-174, 2002 | 265 | 2002 |
CFD-based optimal design of manifold in plate-fin microdevices O Tonomura, S Tanaka, M Noda, M Kano, S Hasebe, I Hashimoto Chemical Engineering Journal 101 (1-3), 397-402, 2004 | 262 | 2004 |
Practical model and detection algorithm for valve stiction M Kano, H Maruta, H Kugemoto, K Shimizu IFAC Proceedings Volumes 37 (9), 859-864, 2004 | 245 | 2004 |
Inferential control system of distillation compositions using dynamic partial least squares regression M Kano, K Miyazaki, S Hasebe, I Hashimoto Journal of process control 10 (2-3), 157-166, 2000 | 236 | 2000 |
Heart rate variability-based driver drowsiness detection and its validation with EEG K Fujiwara, E Abe, K Kamata, C Nakayama, Y Suzuki, T Yamakawa, ... IEEE transactions on biomedical engineering 66 (6), 1769-1778, 2018 | 217 | 2018 |
Virtual Sensing Technology in Process Industries: Trends and Challenges Revealed by Recent Industrial Applications M KANO, K FUJIWARA Journal of Chemical Engineering of Japan 46 (1), 1-17, 2013 | 213 | 2013 |
Evolution of multivariate statistical process control: application of independent component analysis and external analysis M Kano, S Hasebe, I Hashimoto, H Ohno Computers & chemical engineering 28 (6-7), 1157-1166, 2004 | 202 | 2004 |
Epileptic seizure prediction based on multivariate statistical process control of heart rate variability features K Fujiwara, M Miyajima, T Yamakawa, E Abe, Y Suzuki, Y Sawada, ... IEEE Transactions on Biomedical Engineering 63 (6), 1321-1332, 2015 | 200 | 2015 |
Statistical process monitoring based on dissimilarity of process data M Kano, S Hasebe, I Hashimoto, H Ohno AIChE Journal 48 (6), 1231-1240, 2002 | 189 | 2002 |
Estimation of active pharmaceutical ingredients content using locally weighted partial least squares and statistical wavelength selection S Kim, M Kano, H Nakagawa, S Hasebe International journal of pharmaceutics 421 (2), 269-274, 2011 | 165 | 2011 |
Comparison of statistical process monitoring methods: application to the Eastman challenge problem M Kano, K Nagao, S Hasebe, I Hashimoto, H Ohno, R Strauss, B Bakshi Computers & Chemical Engineering 24 (2-7), 175-181, 2000 | 115 | 2000 |
Development of soft-sensor using locally weighted PLS with adaptive similarity measure S Kim, R Okajima, M Kano, S Hasebe Chemometrics and Intelligent Laboratory Systems 124, 43-49, 2013 | 111 | 2013 |
Long-Term Industrial Applications of Inferential Control Based on Just-In-Time Soft-sensors: Economical Impact and Challenges S Kim, M Kano, S Hasebe, A Takinami, T Seki Industrial & Engineering Chemistry Research 124, 43-49, 2013 | 103 | 2013 |
Adaptive virtual metrology design for semiconductor dry etching process through locally weighted partial least squares T Hirai, M Kano IEEE Transactions on Semiconductor Manufacturing 28 (2), 137-144, 2015 | 98 | 2015 |