Výsledky vyhledávání - "Hideaki Kawano"

Akademický článek

Machine learning model for discrimination of mild dementia patients using acoustic features

Autor: Kazu Nishikawa, Kuwahara Akihiro, Rin Hirakawa, Hideaki Kawano, Yoshihisa Nakatoh

Publikováno v: Cognitive Robotics, Vol 2, Iss , Pp 21-29 (2022)

In previous research on dementia discrimination by voice, a method using multiple acoustic features by machine learning has been proposed. However, they do not focus on speech analysis in mild dementia patients (MCI). Therefore, we propose a dementia

Externí odkaz: https://doaj.org/article/f1a8b05305484ca7b2b3c943b247d4ab

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Akademický článek

Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM)

Autor: Akihiro Kuwahara, Kazu Nishikawa, Rin Hirakawa, Hideaki Kawano, Yoshihisa Nakatoh

Publikováno v: Cognitive Robotics, Vol 2, Iss , Pp 50-59 (2022)

With the advent of the information society, the eyes' health is threatened all over the world. Rules and systems have been proposed to avoid these problems, but most users do not use them due to the physical and time constraints and costs involved an

Externí odkaz: https://doaj.org/article/6d40267615694f7c92e77cd7a98ef8d6

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Akademický článek

An artificial neural network−pharmacokinetic model and its interpretation using Shapley additive explanations

Autor: Chika Ogami, Yasuhiro Tsuji, Hiroto Seki, Hideaki Kawano, Hideto To, Yoshiaki Matsumoto, Hiroyuki Hosono

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 7, Pp 760-768 (2021)

Abstract We developed a method to apply artificial neural networks (ANNs) for predicting time‐series pharmacokinetics (PKs), and an interpretable the ANN‐PK model, which can explain the evidence of prediction by applying Shapley additive explanat

Externí odkaz: https://doaj.org/article/ea378b8796b448b7b48260805607fd56

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Akademický článek

Efficient and Small Network Using Multi-Trim Network Structure for Tactile Object Recognition on Embedded Systems

Autor: Pornthep Sarakon, Hideaki Kawano, Kazuhiro Shimonomura, Seiichi Serikawa

Publikováno v: IEEE Access, Vol 8, Pp 144277-144291 (2020)

Tactile object recognition (TOR) is critical in robot perception. However, as an embedded system, a robot brain has a fixed resource budget and is unsuitable for modern convolutional neural networks (CNNs). To bridge this gap, we present a simple net

Externí odkaz: https://doaj.org/article/82db908b73024b72a65d789d7196620f

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Akademický článek

A 63-kDa Periplasmic Protein of the Endonuclear Symbiotic Bacterium Holospora obtusa Secreted to the Outside of the Bacterium during the Early Infection Process Binds Weakly to the Macronuclear DNA of the Host Paramecium caudatum

Autor: Masahiro Fujishima, Hideaki Kawano, Isamu Miyakawa

Publikováno v: Microorganisms, Vol 11, Iss 1, p 155 (2023)

The Gram-negative bacterium Holospora obtusa is a macronucleus-specific symbiont of the ciliate Paramecium caudatum. It is known that an infection of this bacterium induces high level expressions of the host hsp60 and hsp70 genes, and the host cell a

Externí odkaz: https://doaj.org/article/4689094ab92c436ea3870ce993610317

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