Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2024-32
Improved image classification models using deep learning for image classification of young sorghum and young poaceae weeds
Ryoga Inui, Tadayoshi Horita, Masakazu Akiba (PTU)
pp. 1 - 6
NC2024-33
Brain-information based grouping for preference estimation in video delivery
Taisei Oishi, Ryoichi Shinkuma (SIT), Naoya Maeda (NTT DATA), Satoshi Nishida (NICT)
pp. 7 - 10
NC2024-34
Study on the effectiveness of the combination of QLoRA and Bayesian inference
Yusuke Takaya, Shozo Saeki, Takashi Sasaki, Minoru Kawahara, Hirohisa Aman (Ehime Univ.)
pp. 11 - 16
NC2024-35
Lightweight computation in inference of SNN models for LSI
Kei Sakamoto, Yuhei Kobayashi, Hiroto Kitani, Masahiro Iida (Kumamoto Univ)
pp. 17 - 22
NC2024-36
Evaluation of lightweight methods for SNN models using sound source localisation task
Hiroto Kitani, Kei Sakamoto, Masahiro Iida (Kumamoto Univ)
pp. 23 - 28
NC2024-37
Analog CMOS circuit implementation of STDP and its application to classification tasks
Yosuke Iida, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ)
pp. 29 - 32
NC2024-38
A neuromorphic spatio-temporal spike pattern detection model considers glutamate spillover
Shunta Furuichi, Takashi Kohno (The Univ. of Tokyo)
pp. 33 - 36
NC2024-39
Multi-layered Action Preparations by Premotor Neurons and Their Implications for Modern AI
Kazuhiro Sakamoto (TMPU), Naohiro Saito, Hajime Mushiake (Tohoku Univ.)
pp. 37 - 40
NC2024-40
Analysis of structure-function relationships in neuronal networks using a Markov chain model
Nobuaki Monma, Hideaki Yamamoto, Naoya Fujiwara, Shigeo Sato (Tohoku Univ.)
pp. 41 - 44
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.