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Ning Yu and Timothy Haskins
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and imp...
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Halil Alper Tokel,Rana Al Halaseh,Gholamreza Alirezaei,Rudolf Mathar
Pág. 40 - 50
The recent efforts to extend measurement and communication infrastructures in power grids have brought about new potentials for a more efficient and optimized grid operation using the data which become available. Due to this integration, on the other han...
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Bowen Xing, Xiao Wang and Zhenchong Liu
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the...
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Kristopher Campbell, Myra Lydon, Nicola-Ann Stevens and Su Taylor
This paper outlines an initial analysis of 20 years of data held on an electronic bridge management database for approximately 3500 arch bridges across Northern Ireland (NI) by the Department for Infrastructure. Arch bridges represent the largest group o...
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Luisina Pastorino and Massimiliano Zanin
Complex network theory, in conjunction with metrics able to detect causality relationships from time series, has recently emerged as an effective and intuitive way of studying delay propagation in air transport. One important step in such analysis is con...
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Shuaibin An, Jianwen Zang, Ming Yan, Baiyang Zhu and Jun Liu
Wide-speed-range vehicles are characterized by high flight altitude and high speed, with significant changes in the flight environment. Due to the strong uncertainty of its aerodynamic characteristics, higher requirements are imposed on attitude control....
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Kui Ji and Jianxiao Ma
Reserve capacity is the core of reliability analysis based on road network capacity. This article optimizes its bi-level programming model: the upper-level model has added service level coefficient and travel time limit, which realizes the unification of...
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Sara Pensieri, Federica Viti, Gabriele Moser, Sebastiano Bruno Serpico, Luca Maggiolo, Martina Pastorino, David Solarna, Andrea Cambiaso, Carlo Carraro, Cristiana Degano, Ilaria Mainenti, Silvia Seghezza and Roberto Bozzano
The growing need for interoperability among the different oceanic monitoring systems to deliver services able to answer the requirements of stakeholders and end-users led to the development of a low-cost machine-to-machine communication system able to gu...
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Dongkyun Kim and Yong-Hwan Kim
Multi-access edge computing (MEC) has become an essential technology for collecting, analyzing, and processing data generated by widely distributed user equipment (UE), wireless end-hosts, Internet of things (IoT) sensors, etc., providing real-time and h...
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Dmitry Pavlyuk
Transfer learning is a modern concept that focuses on the application of ideas, models, and algorithms, developed in one applied area, for solving a similar problem in another area. In this paper, we identify links between methodologies in two fields: vi...
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Yu Wang, Dejun Ning and Songlin Feng
In the prognostics health management (PHM) of rotating machinery, the accurate identification of bearing fault is critical. In recent years, various deep learning methods can well identify bearing fault based on monitoring data. However, facing changing ...
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Will Serrano
Online market places make their profit based on their advertisements or sales commission while businesses have the commercial interest to rank higher on recommendations to attract more customers. Web users cannot be guaranteed that the products provided ...
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Jie Yuan, Erxia Li, Chaoqun Kang, Fangyuan Chang, Tingting Yuan and Xiaoyong Li
Software-defined networking (SDN) is a modern network architecture, which separates the network control plane from the data plane. Considering the gradual migration from traditional networks to SDNs, the hybrid SDN, which consists of SDN-enabled devices ...
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Tamás Tettamanti, Arash Mohammadi, Houshyar Asadi, István Varga
Pág. 913 - 920
In the near future, autonomous vehicles will face with new challenges in several fields. One of the most exciting changes will be represented by the network-wide optimal traffic control. When driverless vehicles take over the road, classical road signali...
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Luiz Oliveira, Joel J. P. C. Rodrigues, Sergei A. Kozlov, Ricardo A. L. Rabêlo and Victor Hugo C. de Albuquerque
Due to the wide variety of uses and the diversity of features required to meet an application, Internet of Things (IoT) technologies are moving forward at a strong pace to meet this demand while at the same time trying to meet the time-to-market of these...
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Lina Huang, Tinghua Ai, Peter Van Oosterom, Xiongfeng Yan and Min Yang
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Leonardo Javier Uzcategui Montes, Nelson A. Perez Garcia
Pág. 21 34
Con el continuo crecimiento de Internet y todas sus aplicaciones, desde comercio electrónico, redes sociales, hasta el Internet de las cosas (IoT = Internet of Thinks), los ataques a las redes se han vuelto más comunes y sofisticados. Por tanto, se hace ...
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Silvano Bertoldo, Lorenzo Carosso, Emanuele Marchetta, Miryam Paredes and Marco Allegretti
LoRa (Long Range) is a proprietary radio communication technology exploiting license-free frequency bands, allowing low-rate information exchange over long distances with very low power consumption. Conventional environmental monitoring sensors have the ...
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Shobhit Aggarwal and Asis Nasipuri
The Internet of Things (IoT) enables us to gain access to a wide range of data from the physical world that can be analyzed for deriving critical state information. In this regard, machine learning (ML) is a valuable tool that can be used to develop mode...
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Tao Tao, Greg Lindsey, Jason Cao, Jueyu Wang
Pág. 1187 - 1208
Exposure to risk is a theoretically important correlate of crash risk, but many safety performance functions (SPFs) for pedestrian and bicycle traffic have yet to include the mode-specific measures of exposure. When SPFs are used in the systematic approa...
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