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11
Selective hydrogenolysis of tetrahydrofurfuryl alcohol on Pt/WO3/ZrO2 catalysts: Effect of WO3 loading amount on activity
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Selective hydrogenolysis of tetrahydrofurfuryl alcohol on Pt/WO3/ZrO2 catalysts: Effect of WO3 loading amount on activity

Feng, Shixiang ; Nagao, Aiko ; Aihara, Takeshi ; Miura, Hiroki ; Shishido, Tetsuya

Catalysis today, 2018-04, Vol.303, p.207-212 [Periódico revisado por pares]

Elsevier B.V

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12
Stochastic Stability of Genetic Networks With Disturbance Attenuation
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Stochastic Stability of Genetic Networks With Disturbance Attenuation

Chunguang Li ; Luonan Chen ; Aihara, K.

IEEE transactions on circuits and systems. II, Express briefs, 2007-10, Vol.54 (10), p.892-896 [Periódico revisado por pares]

New York: IEEE

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13
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
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A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design

Sakemi, Yusuke ; Morino, Kai ; Morie, Takashi ; Aihara, Kazuyuki

IEEE transaction on neural networks and learning systems, 2023-01, Vol.34 (1), p.394-408

United States: IEEE

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14
Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networks
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Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networks

Ebato, Yudai ; Nobukawa, Sou ; Sakemi, Yusuke ; Nishimura, Haruhiko ; Kanamaru, Takashi ; Sviridova, Nina ; Aihara, Kazuyuki

Scientific reports, 2024-04, Vol.14 (1), p.8631-8631, Article 8631 [Periódico revisado por pares]

England: Nature Publishing Group

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15
A 18.7 TOPS/W Mixed-Signal Spiking Neural Network Processor With 8-bit Synaptic Weight On-Chip Learning That Operates in the Continuous-Time Domain
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A 18.7 TOPS/W Mixed-Signal Spiking Neural Network Processor With 8-bit Synaptic Weight On-Chip Learning That Operates in the Continuous-Time Domain

Uenohara, Seiji ; Aihara, Kazuyuki

IEEE access, 2022, Vol.10, p.48338-48348 [Periódico revisado por pares]

Piscataway: IEEE

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16
Data-Driven Bridge Weigh-In-Motion
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Data-Driven Bridge Weigh-In-Motion

Kawakatsu, Takaya ; Aihara, Kenro ; Takasu, Atsuhiro ; Nagayama, Tomonori ; Adachi, Jun

IEEE sensors journal, 2023-08, Vol.23 (15), p.1-1 [Periódico revisado por pares]

New York: IEEE

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17
Membrane InGaAsP Mach-Zehnder Modulator Integrated With Optical Amplifier on Si Platform
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Membrane InGaAsP Mach-Zehnder Modulator Integrated With Optical Amplifier on Si Platform

Hiraki, Tatsurou ; Aihara, Takuma ; Fujii, Takuro ; Takeda, Koji ; Kakitsuka, Takaaki ; Tsuchizawa, Tai ; Matsuo, Shinji

Journal of lightwave technology, 2020-06, Vol.38 (11), p.3030-3036 [Periódico revisado por pares]

New York: IEEE

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18
Energy-efficient firing patterns with sparse bursts in the Chay neuron model
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Energy-efficient firing patterns with sparse bursts in the Chay neuron model

Zhu, Fengyun ; Wang, Rubin ; Aihara, Kazuyuki ; Pan, Xiaochuan

Nonlinear dynamics, 2020-05, Vol.100 (3), p.2657-2672 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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19
Acid and base catalysis of SrTiO3 nanoparticles for C–C bond-forming reactions
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Acid and base catalysis of SrTiO3 nanoparticles for C–C bond-forming reactions

Aihara, Takeshi ; Aoki, Wataru ; Hara, Michikazu ; Kamata, Keigo

Catalysis today, 2024-02, Vol.428, p.114448, Article 114448 [Periódico revisado por pares]

Elsevier B.V

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20
One-step formation of ZrON thin film on surface of carbon fine particles for membrane electrode assembly
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One-step formation of ZrON thin film on surface of carbon fine particles for membrane electrode assembly

Aihara, Yudai ; Iida, Takashi ; Kodama, Kakeru ; Iwata, Hiroshi ; Sekiya, Takao

Journal of vacuum science and technology. B, Nanotechnology & microelectronics, 2024-05, Vol.42 (3) [Periódico revisado por pares]

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