Cited by 13Data Quality and ManagementInternet of Things and AIIoT and Edge/Fog Computing

IoT-based data quality and data preprocessing of multinational corporations

Sirisha, N., Gopikrishna, M., Ramadevi, P., Bokka, Raveendranadh, Ganesh, K.V.B., Chakravarthi, M. Kalyan·2023·The Journal of High Technology Management Research

Integrity signals

Registry

Crossref · 10.1016/j.hitech.2023.100477

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Cites

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Authors
Sirisha, N., Gopikrishna, M., Ramadevi, P., Bokka, R., Ganesh, K. V. B., & Chakravarthi, M. K.
Affiliations
  • Vardhaman College of Engineering (IN)
  • Koneru Lakshmaiah Education Foundation (IN)
  • VIT-AP University (IN)
Corresponding author
Sirisha, N.
Venue
The Journal of High Technology Management Research
Publisher
Elsevier BV
Published
2023-11
Volume
34
Issue
2
Pages
100477
ISSN
1047-8310 (ISSN-L)
OpenAlex
W4386018718
Cited by
13
References
17
Citations by year
2026: 3 · 2025: 5 · 2024: 5
FWCI
2.40
Type
journal article
Language
en
Open access
closed
Locations
The Journal of High Technology Management Research (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
Internet of Things, data preprocessing, data cleaning, multinational corporations, geospatial data, IoT architecture, management decision-making, IoT applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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