E-LIB Suche - Ergebnisse für: Obuchi, Takuya

1

In Silico Experiments of Mobile Bionanosensor Networks for ..:

, In: Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication,

Okaie, Yutaka ; Obuchi, Takuya ; Hara, Takahiro. - p. 1-6 , 2015

2

Cooperative Target Tracking by a Mobile Bionanosensor Netwo..:

Okaie, Yutaka ; Nakano, Tadashi ; Hara, Takahiro...
IEEE Transactions on NanoBioscience. 13 (2014) 3 - p. 267-277 , 2014

Link: https://doi.org/10.1109/..

3

Mobility and Controllability of Bio-nanomachines:

Yutaka Okaie ; Tadashi Nakano ; Takuya Obuchi..
http://eudl.eu/doi/10.4108/eai.3-12-2015.2262426. , 2016

Link: https://doi.org/10.4108/..

4

Poly(I:C) promotes neurotoxic amyloid β accumulation throug..:

Yamamoto, Naoki ; Tokumon, Takuya ; Obuchi, Ayako...
Journal of Neurochemistry. 163 (2022) 6 - p. 517-530 , 2022

Link: https://doi.org/10.1111/..

5

Assessing transfer entropy from biochemical data:

Imaizumi, Takuya ; Umeki, Nobuhisa ; Yoshizawa, Ryo...
Physical Review E. 105 (2022) 3 - p. , 2022

Link: https://doi.org/10.1103/..

6

Integral field unit for the existing imaging and spectrosco..:

Ozaki, Shinobu ; Fukushima, Mitsuhiro ; Iwashita, Hikaru...
Publications of the Astronomical Society of Japan. 72 (2020) 6 - p. , 2020

Link: https://doi.org/10.1093/..

7

Objective and efficient inference for couplings in neuronal..:

Terada, Yu ; Obuchi, Tomoyuki ; Isomura, Takuya.
Journal of Statistical Mechanics: Theory and Experiment. 2019 (2019) 12 - p. 124010 , 2019

Link: https://doi.org/10.1088/..

8

Identification of blood biomarkers in glioblastoma by SWATH..:

Miyauchi, Eisuke ; Furuta, Takuya ; Ohtsuki, Sumio...
PLOS ONE. 13 (2018) 3 - p. e0193799 , 2018

Link: https://doi.org/10.1371/..

9

In-Vehicle Voice Interface with Improved Utterance Classifi..:

HOMMA, Takeshi ; OBUCHI, Yasunari ; SHIMA, Kazuaki...
IEICE Transactions on Information and Systems. E101.D (2018) 12 - p. 3123-3137 , 2018

Link: https://doi.org/10.1587/..

10

Front cover: Large‐scale multiplex absolute protein quantif..:

Nakamura, Kenji ; Hirayama‐Kurogi, Mio ; Ito, Shingo...
PROTEOMICS. 16 (2016) 15-16 - p. , 2016

Link: https://doi.org/10.1002/..

11

Large‐scale multiplex absolute protein quantification of dr..:

Nakamura, Kenji ; Hirayama‐Kurogi, Mio ; Ito, Shingo...
PROTEOMICS. 16 (2016) 15-16 - p. 2106-2117 , 2016

Link: https://doi.org/10.1002/..

12

Assessing transfer entropy from biochemical data:

Imaizumi, Takuya ; Umeki, Nobuhisa ; Yoshizawa, Ryo...
http://arxiv.org/abs/2111.04931. , 2021

Link: http://arxiv.org/abs/211..

13

Neural Network Libraries: A Deep Learning Framework Designe..:

Narihira, Takuya ; Alonsogarcia, Javier ; Cardinaux, Fabien...
http://arxiv.org/abs/2102.06725. , 2021

Link: http://arxiv.org/abs/210..

14

Inferring neuronal couplings from spiking data using a syst..:

Terada, Yu ; Obuchi, Tomoyuki ; Isomura, Takuya.
http://arxiv.org/abs/1803.04738. , 2018

Link: http://arxiv.org/abs/180..

15

Objective and efficient inference for couplings in neuronal..:

Terada, Yu ; Obuchi, Tomoyuki ; Isomura, Takuya.
http://arxiv.org/abs/1805.07061. , 2018

Link: http://arxiv.org/abs/180..