1 |
Study on woody biomass Stirling cycle for cold region houses Obara S, Kito S, Hoshi A, Sasaki S International Journal of Energy Research, 33(2), 152, 2009 |
2 |
Exergy analysis of the woody biomass Stirling engine and PEM-FC combined system with exhaust heat reforming Obara S, Tanno I, Kito S, Hoshi A, Sasaki S International Journal of Hydrogen Energy, 33(9), 2289, 2008 |
3 |
Partial differentiation of neural network for the analysis of factors controlling catalytic activity Hattori T, Kito S Applied Catalysis A: General, 327(2), 157, 2007 |
4 |
Analysis of catalytic performance by partial differentiation of neural network pattern Kito S, Hattori T Chemical Engineering Science, 62(18-20), 5575, 2007 |
5 |
Analysis of factors controlling catalytic activity by neural network Hattori T, Kito S Catalysis Today, 111(3-4), 328, 2006 |
6 |
Response to "comment on'design of a propane ammoxidation catalyst using artificial neural networks and genetic algorithms'" Kito S, Hattori T Industrial & Engineering Chemistry Research, 45(24), 8225, 2006 |
7 |
Application of neural network to estimation of catalyst deactivation in methanol conversion Kito S, Satsuma A, Ishikura T, Niwa M, Murakami Y, Hattori I Catalysis Today, 97(1), 41, 2004 |
8 |
Cleavage of nucleolin and argyrophilic nucleolar organizer region associated proteins in apoptosis-induced cells Kito S, Shimizu K, Okamura H, Yoshida K, Morimoto H, Fujita M, Morimoto Y, Ohba T, Haneji T Biochemical and Biophysical Research Communications, 300(4), 950, 2003 |
9 |
Where did the money go? The cost and performance of the largest commercial sector DSM programs Eto J, Kito S, Shown L, Sonnenblick R Energy Journal, 21(2), 23, 2000 |
10 |
Neural-Network as a Tool for Catalyst Development Hattori T, Kito S Catalysis Today, 23(4), 347, 1995 |