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Zhuoming Xu, Hanlin Liu, Jian Li, Qianqian Zhang and Yan Tang
Knowledge graph-based recommendation methods are a hot research topic in the field of recommender systems in recent years. As a mainstream knowledge graph-based recommendation method, the propagation-based recommendation method captures users? potential ...
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Zhongkai Dang, Lixiang Li, Haipeng Peng and Jiaxuan Zhang
Since the outbreak of COVID-19, in addition to the continuous increment in the number of infected patients, the number of COVID-19-related papers has also increased significantly. According to the statistics, its number even exceeds the research of some ...
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Jens M. Hovem and Hefeng Dong
Acoustics is important for all underwater systems for object detection, classification, surveillance systems, and communication. However, underwater acoustics is often difficult to understand, and even the most carefully conducted measurements may often ...
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Salaheddin Hosseinzadeh, Hadi Larijani, Krystyna Curtis and Andrew Wixted
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model. This reduces the tra...
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Anton Rahmadi,Miftakhur Rohmah,Unis Sagena
Pág. pp. 82 - 96
The laboratory is a research powerhouse being a transportation membrane to propagate new and proven knowledge. This paper aims to descriptively disseminate the concept of horizontal integration from research in tropical functional food resources to teach...
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Jianjin Wang, Peng Shi, Peng Jiang, Jianwei Hu, Simin Qu, Xingyu Chen, Yingbing Chen, Yunqiu Dai and Ziwei Xiao
Flooding contributes to tremendous hazards every year; more accurate forecasting may significantly mitigate the damages and loss caused by flood disasters. Current hydrological models are either purely knowledge-based or data-driven. A combination of dat...
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Jianjin Wang, Peng Shi, Peng Jiang, Jianwei Hu, Simin Qu, Xingyu Chen, Yingbing Chen, Yunqiu Dai, Ziwei Xiao
Pág. 1 - 16
Flooding contributes to tremendous hazards every year; more accurate forecasting may significantly mitigate the damages and loss caused by flood disasters. Current hydrological models are either purely knowledge-based or data-driven. A combination of dat...
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Marie-Therese Charlotte Evans, Majid Latifi, Mominul Ahsan and Julfikar Haider
Keyword extraction from Knowledge Bases underpins the definition of relevancy in Digital Library search systems. However, it is the pertinent task of Joint Relation Extraction, which populates the Knowledge Bases from which results are retrieved. Recent ...
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Liang Chen, Yuyi Yang, Zhenheng Wang, Jian Zhang, Shaowu Zhou and Lianghong Wu
Underwater robot perception is a critical task. Due to the complex underwater environment and low quality of optical images, it is difficult to obtain accurate and stable target position information using traditional methods, making it unable to meet pra...
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Julien Touboul, Veronica Morales-Marquez and Kostas Belibassakis
The wave?current?seabed interaction problem is studied by using a coupled-mode system developed for modeling wave scattering by non-homogeneous, sheared currents in variable bathymetry regions. The model is based on a modal series expansion of wave veloc...
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Yuyuan Zhou, Chao Sun and Lei Xie
Environmental mismatch degrades the performance of source localization and tracking methods in shallow water. One solution is to estimate source parameters and the key environmental parameters simultaneously from the acoustic data. In this paper, an unco...
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Arno Duijster, Arno Volker, Frenk Van den Berg and Carola Celada-Casero
The applicability of laser ultrasonics for the determination of grain size and phase composition in steels under different temperatures was investigated. This was done by obtaining the velocity and attenuation of propagating ultrasonic waves in a simulat...
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Bert Cox, Chesney Buyle, Daan Delabie, Lieven De Strycker and Liesbet Van der Perre
The digital transformation is exciting the uptake of Internet-of-Things technologies, and raises the questions surrounding our knowledge of the positions of many of these things. A review of indoor localization technologies summarized in this paper shows...
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Natalia Mikhailova, Ivan Smirnov and Bulat Yakupov
In engineering problems associated with acoustic wave propagation in a liquid, cavitation onset could be an adverse phenomenon, or, conversely, a required process. In both cases, knowledge of the ultrasonic parameters that lead to cavitation onset under ...
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Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni and Marialaura Previti
A real-time news spreading is now available for everyone, especially thanks to Online Social Networks (OSNs) that easily endorse gate watching, so the collective intelligence and knowledge of dedicated communities are exploited to filter the news flow an...
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Oskar Bschorr and Hans-Joachim Raida
The method used to factorize the longitudinal wave equation has been known for many decades. Using this knowledge, the classical 2nd-order partial differential Equation (PDE) established by Cauchy has been split into two 1st-order PDEs, in alignment with...
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Alessia Sarica, Maria Grazia Vaccaro, Andrea Quattrone and Aldo Quattrone
Cluster analysis is widely applied in the neuropsychological field for exploring patterns in cognitive profiles, but traditional hierarchical and non-hierarchical approaches could be often poorly effective or even inapplicable on certain type of data. Mo...
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Luigi Calabrese and Edoardo Proverbio
The complex nature of the damage evolution in stress corrosion cracking (SCC) leads to explore for new investigation technologies in order to better identify the mechanisms that supervise the initiation and evolution of the damage as well to provide an i...
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Carlos Cunha, Marina Tenório, Daniel F. Lima, Arthur Rebouças, Luís C. Neves and Jorge M. Branco
Despite their favorable physical and mechanical properties for structural use, tropical woods, such as Iroko (Milicia excelsa), present knowledge gaps to be filled mainly about their mechanical characterization, which currently limit their use or result ...
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Aida Boudhaouia and Patrice Wira
This article presents a real-time data analysis platform to forecast water consumption with Machine-Learning (ML) techniques. The strategy fully relies on a web-oriented architecture to ensure better management and optimized monitoring of water consumpti...
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