Multi-target Trajectory Generation Method Based on Motion Features [PDF]
Jisuanji kexueIn the maritime multi-target tracking context of space tracking vessels,the trajectory correlation of target ships has remained a formidable challenge.Owing to the highly dynamic nature of the oceanic environment and the irregularity as well as ...
ZHANG Haoran, WANG Guiling
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A data pipeline for e-large-scale assessments: Better automation, quality assurance, and efficiency
International Journal of Assessment Tools in Education, 2023 The increasing volume of large-scale assessment data poses a challenge for testing organizations to manage data and conduct psychometric analysis efficiently.
Charles Anifowose +2 more
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Cloud cover : monitoring large-scale clouds with Varanus [PDF]
, 2015 This research was supported by a Royal Society Industry Fellowship and an Amazon Web Services (AWS) grant.Cloud computing has quickly become the de facto means to deploy large scale systems in a robust and cost effective manner.
Barker, Adam David +3 more
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Hierarchical Hypergraph-based Attention Neural Network for Service Recommendation [PDF]
Jisuanji kexueWith the rapid growth of various services and APIs on the Internet and the Web,it has become increasingly challenging for developers to quickly and accurately find APIs that meet their needs,thus requiring an efficient recommendation system.Currently,the
YANG Dongsheng, WANG Guiling, ZHENG Xin
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Consistency Analysis of Large-scale Energy Storage Batteries [PDF]
E3S Web of Conferences, 2022 With the development of large-scale electrochemical energy storage power stations, lithium-ion batteries have unique advantages in terms of re-energy density, power density, and cycle life, and are applied to power system energy storage devices. However,
Ping Xueliang +4 more
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The uses of process data in large-scale educational assessments:OECD Education Working Paper 286
, 2023 The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large ...
Maddox, Bryan
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A Correlation Driven Approach with Edge Services for Predictive Industrial Maintenance
Sensors, 2018 Predictive industrial maintenance promotes proactive scheduling of maintenance to minimize unexpected device anomalies/faults. Almost all current predictive industrial maintenance techniques construct a model based on prior knowledge or data at build ...
Meiling Zhu, Chen Liu
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Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]
, 2009 Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Yuan, Yinyin +3 more
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Data for Distributed switched large-scale systems
, 2023 This is the data for a discrete-time distributed switched large-scale system employed for testing our proposed method. I includes four interacting subsystems.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Alinia Ahandani, M (via Mendeley Data) +1 more
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The correctness of large scale analysis of genomic data
Foundations of Computing and Decision Sciences, 2021 Implementing a large genomic project is a demanding task, also from the computer science point of view. Besides collecting many genome samples and sequencing them, there is processing of a huge amount of data at every stage of their production and ...
Wojciechowski Pawel +3 more
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