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Saeed Khodabakhshzadeh, Mohsen ZAYANDEHROODI, Seyyed Abdolmajid Jalaee ESFANDABADI
Pág. 58 - 72
Healthcare bubbles can cause instability in healthcare system. This study investigates the possibility of single and multiple healthcare bubbles in Iran healthcare market. We applied ADF, SADF and GSADF methods of Left-Tailed Augmented Dickey-Fuller to l...
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Tse-Chuan Hsu
With the rapid development of the Internet of Things (IoT) in recent years, many IoT devices use communication systems to transmit data. Data packets are inevitably at risk of tampering during data transmission, which can lead to information errors and d...
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Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with...
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Rehab O. Abdel Rahman, Ahmed M. El-Kamash and Yung-Tse Hung
Permeable concrete is a class of materials that has long been tested and implemented to control water pollution. Its application in low-impact development practices has proved its efficiency in mitigating some of the impacts of urbanization on the enviro...
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Hamidi Abdul Aziz, Siti Fatihah Ramli and Yung-Tse Hung
Leachate generation is among the main challenging issues that landfill operators must handle. Leachate is created when decomposed materials and rainwater pass through the waste. Leachate carries many harmful pollutants, with high concentrations of BOD, C...
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Youssra Ahouach, Abdennasser Baali, Abdellah Boushaba, Oualid Hakam, Khalil Azennoud, Aziza Lyazidi, Safaa Benmessaoud, Amine Assouguem, Mohammed Kara, Mona Abdullah Alsaigh, Amal M. Al-Mohaimeed and Tse-Wei Chen
In order to qualify and quantify the impact of sediment contamination in hydric settings by metallic trace elements (MTE) emanating from the controlled dump of Fez city (northern Morocco), leachate and sediment sample analyses were carried out. The leach...
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Xuan Di, Rongye Shi, Zhaobin Mo and Yongjie Fu
For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks (DN...
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Huy Thanh Vo, Tsuyoshi Imai, Masato Fukushima, Tasuma Suzuki, Hiraku Sakuma, Takashi Hitomi and Yung-Tse Hung
This study aims to demonstrate the effectiveness of using biological oxidation for hydrogen sulfide (H2S) control. A long-term experiment was conducted using a rod-shaped electrode made of highly conductive concrete, which provided an electron pathway fo...
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Ka Seng Chou, Teng Lai Wong, Kei Long Wong, Lu Shen, Davide Aguiari, Rita Tse, Su-Kit Tang and Giovanni Pau
This research addresses the challenges of visually impaired individuals? independent travel by avoiding obstacles. The study proposes a distance estimation method for uncontrolled three-dimensional environments to aid navigation towards labeled target ob...
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Muhammad Usama, Rui Ma, Jason Hart and Mikaela Wojcik
Traffic state estimation (TSE) is a critical component of the efficient intelligent transportation systems (ITS) operations. In the literature, TSE methods are divided into model-driven methods and data-driven methods. Each approach has its limitations. ...
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