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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 33, Number 7(1) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2311-2319
S&M2619 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3278 Published: July 6, 2021 Optimal Pricing Based on Real-time Monitoring of Hotel Information [PDF] Xiaojie Chen, Chan Wang, Jiali Chen, Huixu Yang, Chih-Hsien Hsia, and Shun-Jhen Huang (Received December 31, 2020; Accepted May 24, 2021) Keywords: monitoring system, crawler program, best pricing, data mining, software testing
Online travel agencies (OTAs) are becoming popular nowadays. Travelers now search for and compare room prices of hotels online, which makes the competition between hotels in terms of room price fierce. For convenient and precise information on room prices, we propose a real-time monitoring system of room prices for hotel management to follow the changes in hotel information. The system finds the best price and provides a reference room price. The results show that the proposed method proposes the optimal price by considering competitors’ prices. The results of this research provide a basis for improving existing travel and hotel reservation services for travelers.
Corresponding author: Chan Wang, Huixu Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Xiaojie Chen, Chan Wang, Jiali Chen, Huixu Yang, Chih-Hsien Hsia, and Shun-Jhen Huang, Optimal Pricing Based on Real-time Monitoring of Hotel Information, Sens. Mater., Vol. 33, No. 7, 2021, p. 2311-2319. |
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- Deep Learning Prediction Model of Mortality Including Brain-type Natriuretic Peptide in Patients with Acute Decompensated Heart Failure
Hirotaka Takizawa, Masatoshi Minamisawa, Hirohiko Motoki, Koichiro Kuwahara, and Masaki Yamaguchi
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