Deep Learning-based Computer Vision Algorithms, Immersive Analytics and Simulation Software, and Virtual Reality Modeling Tools in Digital Twin-driven Smart Manufacturing
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
YOLO supports traffic management systems by providing real-time information on road conditions.
“YOLO also supports traffic management systems by providing real-time information on road conditions [51].”
From YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO (2024) · cites this paper as [51]
Cited by
Sorted by citations
YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492 · see citing works
Nagy, M., & Lăzăroiu, G. (2022) · Mathematics · doi:10.3390/math10193543 · Cited by 65 · see citing works
- Venue
- Economics, Management, and Financial Markets
- Publisher
- Addleton Academic Publishers
- Published
- 2022
- Volume
- 17
- Issue
- 2
- Pages
- 67
- ISSN
- 1842-3191 (ISSN-L)
- OpenAlex
- W4285224970
- Cited by
- 30
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 11 · 2022: 7
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Economics Management and Financial Markets (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- deep learning, computer vision, immersive analytics, simulation software, virtual reality modeling, digital twin, smart manufacturing
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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