Digital Transformation of Airline Management as the Basis of Innovative Development
Integrity signals
Registry
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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?
Robotic cargo handlers can use ML algorithms to optimize their movements and avoid collisions with other cargo handling equipment.
“For example, robotic cargo handlers can use DL algorithms to identify and sort cargo based on size, weight, and destination, and they can use ML algorithms to optimize their movements and avoid collisions with other cargo handling equipment [115] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [115]
Robotic cargo handlers can use DL algorithms to identify and sort cargo based on size, weight, and destination.
“For example, robotic cargo handlers can use DL algorithms to identify and sort cargo based on size, weight, and destination, and they can use ML algorithms to optimize their movements and avoid collisions with other cargo handling equipment [115] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [115]
Cited by
Sorted by citations
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
- Authors
- Sukhorukov, A., Koryagin, N., Sulyagina, J., Ulitskaya, N., & Eroshkin, S.
- Affiliations
- Plekhanov Russian University of Economics (RU)
- Russian State Social University (RU)
- Moscow Automobile and Road Construction State Technical University (RU)
- Corresponding author
- Eroshkin, Sergey
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 845-854
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2997385816
- Cited by
- 15
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 4
- FWCI
- 11.55
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Transport and Logistics Innovations
- Keywords
- digital transformation, airline management, management information systems, airline industry, innovative development, management technologies
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.
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