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Nan Pang, Peng Jia, Peilin Liu, Feng Yin, Lei Zhou, Liquan Wang, Feihong Yun and Xiangyu Wang
The reliability of many engineering systems (such as offshore and subsea equipment, aerospace equipment, energy production equipment, etc.) is very important, but due to a lack of sufficient failure data, their reliability is difficult to accurately eval...
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Daniel N. de Bruyn, Ben Kotze and William Hurst
Time-based smart home controllers govern their environment with a predefined routine, without knowing if this is the most efficient way. Finding a suitable model to predict energy consumption could prove to be an optimal method to manage the electricity ...
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Reem Ahmed, Tarek Zayed and Fuzhan Nasiri
Healthcare facilities are constantly deteriorating due to tight budgets allocated to the upkeep of building assets. This entails the need for improved deterioration modeling of such buildings in order to enforce a predictive maintenance approach that dec...
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Yanmei Wang, Chengcai Zhang, Yisheng Zhang, He Huang and Lingtong Feng
With the accelerated urbanization process, cities are suffering from extremely heavy rain and urban storm water logging disasters in recent years. To provide reliable and effective information for urban management and emergency decision-making, the accur...
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Marwan Mahmoud and Sami Ben Slama
The Internet of Energy (IoE) is a topic that industry and academics find intriguing and promising, since it can aid in developing technology for smart cities. This study suggests an innovative energy system with peer-to-peer trading and more sophisticate...
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Shuang Guo, Yarong Du and Liang Liu
In order to achieve reliability, security, and scalability, the request flow in the Internet of Things (IoT) needs to pass through the service function chain (SFC), which is composed of series-ordered virtual network functions (VNFs), then reach the dest...
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Chunchun Hu and Jean-Claude Thill
Emerging on-line reservation services and special car services have greatly affected the development of the taxi industry. Surprisingly, taking a taxi is still a significant problem in many large cities. In this paper, we present an effective solution ba...
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Chunyang Hu and Meng Xu
Multi-Robot Confrontation on physics-based simulators is a complex and time-consuming task, but simulators are required to evaluate the performance of the advanced algorithms. Recently, a few advanced algorithms have been able to produce considerably com...
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Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
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Jih-Jeng Huang and Chin-Yi Chen
The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accurate ...
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Anurag Agarwal, Sridhar Ramamoorti, Vaidyanathan Jayaraman
Disputes and lawsuits are quite common in business and are often a source of significant liabilities. We conjecture that measurement challenges and lack of adequate analysis tools have greatly inhibited the ability of the General Counsels offices in sele...
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