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   Articles with "data partitioning" as a keyword



Molecular phylogeny of the aquatic beetle family Noteridae (Coleoptera: Adephaga) with an emphasis on data partitioning strategies.

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recommendations! Published in 2017 at "Molecular phylogenetics and evolution"

DOI: 10.1016/j.ympev.2016.10.016

Abstract: The first molecular phylogenetic hypothesis for the aquatic beetle family Noteridae is inferred using DNA sequence data from five gene fragments (mitochondrial and nuclear): COI, H3, 16S, 18S, and 28S. Our analysis is the most… read more here.

Keywords: partitioning strategies; beetle family; family noteridae; family ... See more keywords

Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3177449

Abstract: Considering the wide application of multiple types of sensors with diversified data sensing and collection capabilities, we focus on the resulting hybrid data partitioning among the local data set distributed at the edge sensors, especially… read more here.

Keywords: hybrid data; dynamic quantization; data partitioning; allocation dynamic ... See more keywords

Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning

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recommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2024.3383748

Abstract: Electronic healthcare (e-health) allows smart devices and medical institutions to collaboratively collect patients’ data, which is trained by artificial intelligence (AI) technologies to help doctors make diagnosis. By allowing multiple devices to train models collaboratively,… read more here.

Keywords: data partitioning; learning health; hybrid federated; federated learning ... See more keywords

Optimizing Data Locality by Integrating Intermediate Data Partitioning and Reduce Task Scheduling in Spark Framework

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recommendations! Published in 2025 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2025.3611388

Abstract: Data locality is crucial for distributed computing systems (e.g., Spark and Hadoop), which is the main factor considered in the task scheduling. Simultaneously, the effects of data locality on reduce tasks are determined by the… read more here.

Keywords: data locality; data partitioning; intermediate data; task scheduling ... See more keywords

DIAERESIS: RDF data partitioning and query processing on SPARK

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recommendations! Published in 2024 at "Semantic Web"

DOI: 10.3233/sw-243554

Abstract: The explosion of the web and the abundance of linked data demand effective and efficient methods for storage, management, and querying. Apache Spark is one of the most widely used engines for big data processing,… read more here.

Keywords: data partitioning; query answering; diaeresis; query ... See more keywords

Comparing Different Data Partitioning Strategies for Segmenting Areas Affected by COVID-19 in CT Scans

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recommendations! Published in 2024 at "Diagnostics"

DOI: 10.3390/diagnostics14242791

Abstract: Background/Objectives: According to the World Health Organization, the gold standard for diagnosing COVID-19 is the Reverse Transcription Polymerase Chain Reaction (RT-PCR) test. However, to confirm the diagnosis in patients who have negative results but still… read more here.

Keywords: covid; data partitioning; segmentation; performance ... See more keywords