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| Hokkaido University | Library | HUSCAP | |||
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Hokkaido University Collection of Scholarly and Academic Papers >
Showing results 1 to 20 of 931
Showing results 1 to 20 of 931
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Recent SubmissionsYoshida, Naoki... [et al.] (2016) Measurement of the Casimir force between a spherical gold tip and Si(111)-(7 x 7) surfaces. Japanese Journal of Applied Physics (JJAP), 55(8): 08NB20-1-08NB20-5 We have performed the measurement of Casimir force between a spherical Au tip and an atomically flat....
Hikage, Takashi... [et al.] (2016) Active implantable medical device EMI assessment for wireless power transfer operating in LF and HF bands. Physics in medicine and biology, 61(12): 4522-4536 The electromagnetic interference (EMI) imposed on active implantable medical devices by wireless pow....
Kudo, Nobuki (2017) High-Speed In Situ Observation System for Sonoporation of Cells With Size- and Position-Controlled Microbubbles. IEEE transactions on ultrasonics ferroelectrics and frequency control, 64(1): 273-280 A high-speed in situ microscopic observation system developed for basic studies on mechanisms of son....
Tabata, Koji... [et al.] (2017) An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. IEICE transactions on information and systems, E100D(5): 994-1002 We propose a heuristic approximation algorithm for the 1-median problem. The 1-median problem is the....
Sugawara, Hirotake... [et al.] (2016) Fundamental study on filter effect of confronting divergent magnetic fields applied to low-pressure inductively coupled plasmas. Japanese Journal of Applied Physics, 55(7S2): 07LD05 The electron motion under confronting divergent magnetic fields (CDMFs) applied to inductively coupl....
Suzuki, Masahiro... [et al.] (2014) Transfer learning based on the observation probability of each attribute. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), ISBN: 978-1-4799-3840-7 Machine learning is the basis of important advances
in artificial intelligence. Unlike the general ....
Takigawa, Ichigaku... [et al.] (2016) Machine-learning prediction of the d-band center for metals and bimetals. RSC advances, 6(58): 52587-52595 The d-band center for metals has been widely used in order to understand activity trends in metal-su....
Liu, Hao... [et al.] (2012) A robust energy artificial neuron based incremental self-organizing neural network with a dynamic structure. Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), ISBN: 978-1-4673-1714-6 Self-organizing neural network which is an unsupervised learning algorithm is to discover the inhere....
Liu, Hao... [et al.] (2013) An incremental self-organizing neural network based on enhanced competitive Hebbian learning. The 2013 International Joint Conference on Neural Networks (IJCNN), ISBN: 978-1-4673-6129-3 Self-organizing neural networks are important
tools for realizing unsupervised learning. Recently, ....
Backhus, Jana... [et al.] (2017) An Online Self-Constructive Normalized Gaussian Network with Localized Forgetting. IEICE transactions on fundamentals of electronics communications and computer sciences, E100A(3): 865-876 In this paper, we introduce a self-constructive Normalized Gaussian Network (NGnet) for online learn....
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