Zobrazeno 1 - 10 of 73 pro vyhledávání: '"Akira Matsuzaki"'
1
Akademický článek
Analysis of sequential ruminal temperature sensor data from dairy cows to identify cow subgroups by clustering and predict calving through supervised machine learning
Autor: Eri FURUKAWA, Yojiro YANAGAWA, Akira MATSUZAKI, Heejin KIM, Hanako BAI, Masashi TAKAHASHI, Seiji KATAGIRI, Shogo HIGAKI
Publikováno v: The Journal of Reproduction and Development, Vol 69, Iss 2, Pp 103-108 (2023)
The present study investigated the applicability of a calving prediction model based on supervised machine learning of ruminal temperature (RT) data in dairy cows. The existence of cow subgroups for prepartum RT changes was also examined, and the pre
Externí odkaz: https://doaj.org/article/0221c974ac4145498cdc5ea23b208252
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2
Akademický článek
Oxygen Reduction Activity and Interfacial Structures of La0.8Sr0.2CoO3 at Initial Electrochemical Process in an Alkaline Solution
Autor: Akira MATSUZAKI, Masaaki HIRAYAMA, Shouya OHGUCHI, Mamoru KOMO, Atsunori IKEZAWA, Kota SUZUKI, Kazuhisa TAMURA, Hajime ARAI, Ryoji KANNO
Publikováno v: Electrochemistry, Vol 90, Iss 10, Pp 107001-107001 (2022)
Oxygen reduction and evolution reactions (ORR and OER, respectively) of perovskite-type La0.8Sr0.2CoO3 were characterized using two-dimensional model electrodes with different reaction planes (001), (110), and (111). Synthesized by pulsed laser depos
Externí odkaz: https://doaj.org/article/83a2ca7a27f345a684a68a77597a94c1
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3
Akademický článek
Deep Cross-Project Software Reliability Growth Model Using Project Similarity-Based Clustering
Autor: Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki
Publikováno v: Mathematics, Vol 9, Iss 22, p 2945 (2021)
Software reliability is an essential characteristic for ensuring the qualities of software products. Predicting the potential number of bugs from the beginning of a development project allows practitioners to make the appropriate decisions regarding
Externí odkaz: https://doaj.org/article/3b8cfe7004ee41788bbe8bc1602e1a4d
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4
Methods of inoculation of plant growth-promoting rhizobacteria in specialty maize genotypes under organic agriculture system
Autor: Andréia de Oliveira, Marcelo Akira Saito, Alessandra Guedes Baleroni, Robson Akira Matsuzaki, Filipe Bertagna, Amanda Tami Kuroda Colevate, Carlos Alberto Scapim, Leandro Simoes Azevedo Gonçalves
Publikováno v: Acta Scientiarum. Agronomy, Volume: 44, Article number: e54910, Published: 13 JUN 2022
Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e54910
Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e54910
Acta Scientiarum. Agronomy
Universidade Estadual de Maringá (UEM)
instacron:UEM
Organic agriculture systems have the nutrients supplied by plant or animal by-products, bioinoculants, and compost-based products as earthworm composts and green manures. However, the quantitative and qualitative parameters of soil amendments depend
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0521d1d80228c89c4736e8769e3d736
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212022000105025&lng=en&tlng=en
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5
Data-Driven Persona Retrospective Based on Persona Significance Index in B-to-B Software Development
Autor: Kiyoshi Honda, Yasuhiro Watanabe, Takayoshi Suzuki, Hironori Washizaki, Yoshiaki Fukazawa, Masahiro Taga, Akira Matsuzaki
Publikováno v: International Journal of Software Engineering and Knowledge Engineering. 31:117-146
Business-to-Business (B-to-B) software development companies develop services to satisfy their customers’ requirements. Developers should prioritize customer satisfaction because customers greatly influence agile software development. However, sati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36d1da2e5b55c34060d545bb36bd0035
https://doi.org/10.1142/s0218194021500029
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8
Deep Cross-Project Software Reliability Growth Model Using Project Similarity-Based Clustering
Autor: Akira Matsuzaki, Hironori Washizaki, Kyawt Kyawt San, Kiyoshi Honda, Masahiro Taga, Yoshiaki Fukazawa
Publikováno v: Mathematics, Vol 9, Iss 2945, p 2945 (2021)
Mathematics
Volume 9
Issue 22
Software reliability is an essential characteristic for ensuring the qualities of software products. Predicting the potential number of bugs from the beginning of a development project allows practitioners to make the appropriate decisions regarding
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::943441f185a5cb791cf4ef55225a3d92
https://www.mdpi.com/2227-7390/9/22/2945
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9
Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering
Autor: Yoshiaki Fukazawa, Hironori Washizaki, Akira Matsuzaki, Kiyoshi Honda, Masahiro Taga, Kyawt Kyawt San
Software reliability is an important characteristic for ensuring the qualities of software products. Predicting the potential number of bugs from the beginning of a development project allows practitioners to make the appropriate decisions regarding
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a43eb3ea39c8bfedb78dd4ad30cfcca1
https://doi.org/10.20944/preprints202110.0237.v1
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