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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3027980
Abstract: As an important driving factor of emerging Internet-of-Things (IoT) applications, machine learning algorithms are currently facing the challenge of how to “clean” data noise, that is introduced during the training process (e.g., asynchronous execution and…
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Keywords:
edge intelligence;
data cleaning;
federated data;
privacy ... See more keywords
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Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2020.3021704
Abstract: In this article, we propose a system for automatically classifying and cleaning location images in large-scale image databases uploaded by arbitrary users. Detecting incorrect scenes uploaded by users and maintaining the correctness of the database…
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Keywords:
data cleaning;
system;
multiresolution dissimilarity;
dissimilarity calculation ... See more keywords
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Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2938861
Abstract: With the advent of 5G, the industrial Internet of Things has developed rapidly. The industrial sensor-cloud system (SCS) has also received widespread attention. In the future, a large number of integrated sensors that simultaneously collect…
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Keywords:
data cleaning;
cloud;
mobile edge;
big data ... See more keywords
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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3044719
Abstract: A fast wind turbine abnormal data cleaning algorithm via image processing for wind turbine power generation performance measurement and evaluation is proposed in this paper. The proposed method includes two stages, data cleaning and data…
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Keywords:
performance;
wind turbine;
data cleaning;
power ... See more keywords
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Published in 2020 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-020-01315-7
Abstract: Background The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are…
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Keywords:
reporting;
data cleaning;
facility;
process ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0267280
Abstract: With the advent of high-throughput assays, a large number of biological experiments can be carried out. Image-based assays are among the most accessible and inexpensive technologies for this purpose. Indeed, these assays have proved to…
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Keywords:
cell;
cell profiling;
image based;
data cleaning ... See more keywords
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Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220492
Abstract: With the available data in healthcare, healthcare organizations and practitioners require interoperable, efficient, and non-time-consuming data exchange. Currently, several cases aim to the exchanged data security, without considering the complexity of the data to be…
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Keywords:
data compression;
ontology driven;
driven data;
ontology ... See more keywords
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Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220664
Abstract: Log data, captured during use of mobile health (mHealth) applications by health providers, can play an important role in informing nature of user engagement with the application. The log data can also be employed in…
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Keywords:
health;
mhealth;
log;
log data ... See more keywords
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Published in 2020 at "Biogeosciences"
DOI: 10.5194/bg-17-1367-2020
Abstract: Abstract. The sources of systematic error responsible for introducing significant biases in the eddy covariance (EC) flux computation are manifold, and their correct identification is made difficult by the lack of reference values, by the…
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Keywords:
procedure;
data cleaning;
eddy covariance;
cleaning procedure ... See more keywords