Results 21 to 30 of about 1,173,915 (264)
Data-driven Approaches to Edge Caching [PDF]
Proceedings of the 2018 Workshop on Networking for Emerging Applications and Technologies, 2018 Content caching at network edge is a promising solution for serving emerging high-throughput low-delay applications, such as virtual reality, augmented reality and Internet-of-Things. The traditional caching algorithms need to adapt to the edge networking environment since old traffic assumptions may no longer hold.
Guangyu Li +6 more
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Data-driven approaches to empirical discovery [PDF]
Artificial Intelligence, 1989 Abstract In this paper we track the development of research in empirical discovery. We focus on four machine discovery systems that share a number of features: the use of data-driven heuristics to constrain the search for numeric laws; a reliance on theoretical terms; and the recursive application of a few general discovery methods.
Pat Langley, Jan M. Zytkow
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A TASK-DRIVEN DISASTER DATA LINK APPROACH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, cases data, simulation data, disaster products and so on.
L. Y. Qiu, Q. Zhu, J. Y. Gu, Z. Q. Du
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Soil erosion susceptibility mapping in Bangladesh
Ecological Indicators, 2023 This study aims to draw a scientific framework for plotting soil erosion susceptibility in the Chittagong Hill Tracts of Bangladesh by comparing existing approaches.
Halima Sadia +2 more
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Data in Brief, 2020 The presented cross-sectional dataset can be employed to analyze the governmental, trade, and competitiveness relationships of official COVID-19 reports. It contains 18 COVID-19 variables generated based on the official reports of 138 countries (European
Marcell Tamás Kurbucz
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A Logical Approach to Data-Driven Classification [PDF]
, 2003 We present a flexible approach for extracting hierarchical classifications from data, which employs the logic of affirmative assertions. The basic observation is that each set of rules induced by the data canonically determines a classificational hierarchy.
Rainer Osswald, Wiebke Petersen
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Is There 'ONE way' of Learning? A Data-driven Approach [PDF]
Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020 Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, in learning tasks that are exploratory by design, such as constructivist learning activities ...
Jauwairia Nasir +2 more
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A data driven approach to update public transport service elasticities
Journal of Public Transportation, 2023 Understanding the passenger demand impacts of public transport service changes is a fundamental aspect of transport planning. The main objective of this study is to derive an updated Generalised Journey Time (GJT) elasticity for urban and metropolitan ...
Howard Wong, Menno Yap
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Urban ScienceCities are increasingly recognized as complex systems, emerging through conditional and history-dependent urban processes. To understand a complex urban phenomenon to the point where we can act on it, we need a quantitative yet holistic approach. In this
Muieen Cader +3 more
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Data-Driven Anomaly Detection Approach for Time-Series Streaming Data
Sensors, 2020 Recently, wireless sensor networks (WSNs) have been extensively deployed to monitor environments. Sensor nodes are susceptible to fault generation due to hardware and software failures in harsh environments.
Minghu Zhang +3 more
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