Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Duy-Tai Dinh"'
Autor:
Hirosuke Matsui, Yuta Muramoto, Ryusei Niwa, Takashi Kakubo, Naoya Amino, Tomoya Uruga, Minh-Quyet Ha, Duy-Tai Dinh, Hieu-Chi Dam, Mizuki Tada
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-10 (2023)
Abstract The sulfidation of copper derived from copper-zinc alloy (brass) in sulfur-containing rubber, used for plating steel-cord-reinforced rubber tires, is suggested to be the key reaction for the adhesive behavior between brass and rubber in tire
Externí odkaz:
https://doaj.org/article/1955eec4ccec4221a27e0d20927ba32d
Publikováno v:
IEEE Access, Vol 11, Pp 61161-61172 (2023)
The explosive growth of player-versus-player games and tournaments has catapulted esports games into a rapidly expanding force in the gaming industry. However, novice and armature players’ voices are often inadvertently overlooked because of a lack
Externí odkaz:
https://doaj.org/article/53170d756e4844329b88c678deb48533
Autor:
Hirosuke Matsui, Yuta Muramoto, Takashi Kakubo, Naoya Amino, Tomoya Uruga, Minh-Quyet Ha, Duy-Tai Dinh, Hieu Dam, Mizuki Tada
The sulfidation of Cu derived from Cu-Zn alloy (brass) in S-containing rubber, which is used for plating steel-cord-reinforced rubber tires, is suggested to be the key reaction for adhesive behavior between brass and rubber in tires. However, the het
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::639ab0feebc8e2a71d605991ff98e596
https://doi.org/10.21203/rs.3.rs-2677133/v1
https://doi.org/10.21203/rs.3.rs-2677133/v1
Publikováno v:
Information Sciences. 571:418-442
This paper proposes a novel framework for clustering mixed numerical and categorical data with missing values. It integrates the imputation and clustering steps into a single process, which results in an algorithm named C lustering M ixed Numerical a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0366c9371d72b63fbfb9c08b2bd6274
https://doi.org/10.1016/j.ins.2021.04.076
https://doi.org/10.1016/j.ins.2021.04.076
Autor:
Duy-Tai Dinh, Van-Nam Huynh
Publikováno v:
Applied Intelligence. 50:2610-2632
The performance of a partitional clustering algorithm is influenced by the initial random choice of cluster centers. Different runs of the clustering algorithm on the same data set often yield different results. This paper addresses that challenge by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e03d83f4129a7717c898f30d8912d3
https://doi.org/10.1007/s10489-020-01677-5
https://doi.org/10.1007/s10489-020-01677-5
Publikováno v:
Logic Journal of the IGPL. 28:19-32
Discovering high-utility itemsets (HUIs) consists of finding sets of items that yield a high profit in customer transaction databases. An important limitation of traditional high-utility itemset mining (HUIM) is that only the utility measure is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a856780faaaa42697be86de90e5cc6
https://doi.org/10.1093/jigpal/jzz068
https://doi.org/10.1093/jigpal/jzz068
Publikováno v:
Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications.
The Covid-19 outbreak affected the operations of various businesses due to the temporary closure of several industries. Virtual Reality (VR) technology has experienced a surge in demand. As a new form of human-computer interaction, VR introduces new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cfb495046dd9b81c261fd487ceb85db
https://doi.org/10.54941/ahfe100859
https://doi.org/10.54941/ahfe100859
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
Millions of players are active on gaming service platforms such as Twitch and Steam every month, but few researchers pay attention to their comments and experience. Among many types of games, hardcore games attract game enthusiasts with highly great
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c66361fa264a44178c7538e97af8f8
https://doi.org/10.54941/ahfe1001077
https://doi.org/10.54941/ahfe1001077
Akademický článek
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Publikováno v:
Periodic Pattern Mining ISBN: 9789811639630
Periodic itemset mining is the task of finding all the sets of items (events or symbols) that regularly appear in a sequence. One of the most important applications is customer behavior analysis, where a periodic itemset found in a sequence of custom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad3420e65159435d79d9f2622ceb58e
https://doi.org/10.1007/978-981-16-3964-7_8
https://doi.org/10.1007/978-981-16-3964-7_8