Results 11 to 20 of about 36,814 (268)
In this paper, we investigate a class of nonautonomous fractional diffusion equations (NFDEs). Firstly, under the condition of weighted Hölder continuity, the existence and two estimates of classical solutions are obtained by virtue of the properties of ...
Jia Mu, Yang Liu, Huanhuan Zhang
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Industrial coordination constitutes a crucial aspect of regional integration, and evaluation of industrial collaboration holds significant practical importance in elucidating industrial processes and advancing industrial development.
Lin Aiyuan +4 more
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In this paper, a generalized Gronwall inequality is demonstrated, playing an important role in the study of fractional differential equations. In addition, with the fixed-point theorem and the properties of Mittag–Leffler functions, some results of the ...
Jia Mu, Jiecuo Nan, Yong Zhou
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The contemporary surge in data production is fueled by diverse factors, with contributions from numerous stakeholders across various sectors. Comparing the volumes at play among different big data entities is challenging due to the scarcity of publicly ...
Luca Clissa +4 more
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Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta +1 more
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Real-Time UAV Trash Monitoring System
This study proposes a marine trash detection system based on unmanned aerial vehicles (UAVs) and aims to replace manpower with UAVs to detect marine trash efficiently and provide information to government agencies regarding real-time trash pollution ...
Yu-Hsien Liao, Jih-Gau Juang
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Search Techniques for the Web of Things: A Taxonomy and Survey
The Web of Things aims to make physical world objects and their data accessible through standard Web technologies to enable intelligent applications and sophisticated data analytics.
Yuchao Zhou +3 more
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We present a general-purpose, loss less compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the inference procedure used in the probabilistic model underpinning deplump are introduced that yield the computational asyptotics necessary for stream compression. We demonstrate the
Bartlett, N, Wood, F
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Incremental Entity Blocking over Heterogeneous Streaming Data
Web systems have become a valuable source of semi-structured and streaming data. In this sense, Entity Resolution (ER) has become a key solution for integrating multiple data sources or identifying similarities between data items, namely entities.
Tiago Brasileiro Araújo +4 more
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Toward Budgeted Online Kernel Ridge Regression on Streaming Data
“Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online ...
Fuhao Gao +3 more
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