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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9404
Abstract: Disease mapping is an important statistical tool used by epidemiologists to assess geographic variation in disease rates and identify lurking environmental risk factors from spatial patterns. Such maps rely upon spatial models for regionally aggregated…
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Keywords:
disease;
acyclic graph;
hierarchical multivariate;
multivariate ... See more keywords
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Published in 2023 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3201777
Abstract: Direct acyclic graph (DAG)-based ledger is a promising technology for the Internet of things (IoT). Compared with a single-chain topology, DAG and forking blockchain topology can solve some problems in IoT, such as high resource…
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Keywords:
convergence probability;
topology;
acyclic graph;
direct acyclic ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3105810
Abstract: Due to the distributed characteristics of federated learning (FL), the vulnerability of the global model and the coordination of devices are the main obstacle. As a promising solution of decentralization, scalability, and security, leveraging the…
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Keywords:
federated learning;
acyclic graph;
direct acyclic;
based blockchain ... See more keywords
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Published in 2020 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-020-00195-6
Abstract: Real-time data streaming fetches live sensory segments of the dataset in the heterogeneous distributed computing environment. This process assembles data chunks at a rapid encapsulation rate through a streaming technique that bundles sensor segments into…
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Keywords:
iot;
iot enabled;
spark cluster;
directed acyclic ... See more keywords
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Published in 2023 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.cn112338-20220906-00765
Abstract: Measurement bias (MB) has been described in causal structures but is still not entirely clear. In practice, the correctness of substitution estimate (SE) of effect is a prerequisite for causal inference, usually based on a…
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Keywords:
acyclic graph;
measurement system;
measurement;
measurement bias ... See more keywords