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Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
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Xuehao Zhai, Fangce Guo and Rajesh Krishnan
Bus bunching is a severe problem that affects the service levels of public transport systems. Most of the previous studies in the field of Bus Signal Priority (BSP) and Transit Signal Priority (TSP) focus on reducing a bus delay at signalised intersectio...
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Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho...
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Hyeon Jo, Jong-hyun Hong and Joon Yeon Choeh
In recent years, virtual online communities have experienced rapid growth. These communities enable individuals to share and manage images or websites by employing tags. A collaborative tagging system (CTS) facilitates the process by which internet users...
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Mengdi Zhang, Ye Zhao, Zhengsheng Han and Fazhan Zhao
This paper presents a 19 ps precision and 170 M samples/s time-to-digital converter (TDC) in FPGA. Through the direct count method and tapped delay line method, the coarse count and fine count can be extracted, respectively. The direct count is realized ...
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Zhicheng Deng, Xiangting You, Zhaoyang Shi, Hong Gao, Xu Hu, Zhaoyuan Yu and Linwang Yuan
The study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to differe...
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Arman Alahyari, David Pozo and Meisam Farrokhifar
With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household ...
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Fernando Peres, Enrico Fallacara, Luca Manzoni, Mauro Castelli, Ale? Popovic, Miguel Rodrigues and Pedro Estevens
Ever since the worldwide demand for gambling services started to spread, its expansion has continued steadily. To wit, online gambling is a major industry in every European country, generating billions of Euros in revenue for commercial actors and govern...
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Viacheslav Kozitsin, Iurii Katser and Dmitry Lakontsev
Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
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Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
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Ahmed Abdelmoamen Ahmed and Gbenga Agunsoye
The increasing ubiquity of network traffic and the new online applications? deployment has increased traffic analysis complexity. Traditionally, network administrators rely on recognizing well-known static ports for classifying the traffic flowing their ...
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Atiqur sm-Rahman, Chih Hung Lo and Yasmin Jahan
The news media, specifically online newspapers, is one of the powerful transmitters of discourse due to its rapid accessibility that contributes to social beliefs and attitudes that often shape our perceptions on dementia and Alzheimer?s disease. The med...
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Qingge Ji, Haoqiang Yu and Xiao Wu
Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking. For the purpose of increasing t...
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Yaqiong Li, Tongxun Wang and Zhanfeng Deng
Voltage Regulation in Distribution Systems.
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Bo Mao, Yifang Ban and Björn Laumert
Energy co-simulation can be used to analyze the dynamic energy consumption of a building or a region, which is essential for decision making in the planning and management of smart cities. To increase the accessibility of energy simulation results, a dyn...
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Canh V. Pham, Hieu V. Duong, Huan X. Hoang and My T. Thai
Competitive Influence Maximization (??????
CIM
) problem, which seeks a seed set nodes of a player or a company to propagate their product?s information while at the same time their competitors are conducting similar strategies, has been paid much attent...
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Ekaterina Nikolskaya, Petri Janhunen, Mikko Haapalainen and Yrjö Hiltunen
Black liquor, a valuable by-product of the pulp production process, is used for the recovery of chemicals and serves as an energy source for the pulp mill. Before entering the recovery unit, black liquor runs through several stages of evaporation, wherei...
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Tihana ?krinjaric
This research observes a time varying relationship between stock returns, volatilities and the online search volume in regard to selected CESEE (Central, Eastern and South-Eastern European) stock markets. The main hypothesis of the research assumes that ...
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Keng Yang
A crowdsourcing contest is one of the most popular modes of crowdsourcing and is also an important tool for an enterprise to implement open innovation. The solvers? active participation is one of the major reasons for the success of crowdsourcing contest...
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Zhigang Hu, Hui Kang and Meiguang Zheng
A distributed data stream processing system handles real-time, changeable and sudden streaming data load. Its elastic resource allocation has become a fundamental and challenging problem with a fixed strategy that will result in waste of resources or a r...
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