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Titlebook: Intelligent Transport Systems for Everyone’s Mobility; Tsunenori Mine,Akira Fukuda,Shigemi Ishida Book 2019 Springer Nature Singapore Pte

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樓主: Corrugate
21#
發(fā)表于 2025-3-25 04:16:02 | 只看該作者
Hiroaki Ikeuchi,Kiichiro Hatoyama,Ryota Kusakabe,Ikumi Kariyade a series of novel attempts in improving the clinical environment, shielding the treatment noise, carrying out painless dental treatment, and adopting minimally invasive treatment, which has gained fabulous effect in clinic. Dental anxiety (DA) is a common psychological disorder in dental treatmen
22#
發(fā)表于 2025-3-25 07:51:48 | 只看該作者
Taishi Sawabe,Shohei Ota,Masayuki Kanbara,Norimichi Ukita,Tetsushi Ikeda,Luis Yoichi Morales Saiki,Ade a series of novel attempts in improving the clinical environment, shielding the treatment noise, carrying out painless dental treatment, and adopting minimally invasive treatment, which has gained fabulous effect in clinic. Dental anxiety (DA) is a common psychological disorder in dental treatmen
23#
發(fā)表于 2025-3-25 15:17:46 | 只看該作者
24#
發(fā)表于 2025-3-25 17:24:59 | 只看該作者
25#
發(fā)表于 2025-3-25 22:11:12 | 只看該作者
26#
發(fā)表于 2025-3-26 01:19:38 | 只看該作者
ITS technologies, infrastructure, and their applications to.This book presents the latest, most interesting research efforts regarding Intelligent Transport System (ITS) technologies, from theory to practice. The book’s main theme is “Mobility for everyone by ITS”; accordingly, it gathers a range o
27#
發(fā)表于 2025-3-26 07:00:12 | 只看該作者
28#
發(fā)表于 2025-3-26 10:11:16 | 只看該作者
29#
發(fā)表于 2025-3-26 15:29:47 | 只看該作者
Study on Simultaneous-Action Discrimination System Using the Neural Networkaccuracy changes greatly depending on the surrounding environment. In this study, our research group suggests a discrimination method of simultaneous-walking and simultaneous-cycling which is robust against the above problem by learning tri-axial acceleration sensor information of a smartphone with a neural network.
30#
發(fā)表于 2025-3-26 20:12:30 | 只看該作者
Dynamic Arrival Time Estimation Model and Visualization Method for Bus Traffic combination of a multiple-regression model and a Kalman filter. The visualization model analyzes relationships between delays and various factors. The goal of this study is to realize a society where people can use buses more comfortably.
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