Big data analytics and computational intelligence for cyber–physical systems: recent trends and state of the art applications
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AI algorithms can be used to analyze passenger data to predict behavior, preferences and improve personalized service offerings.
“AI algorithms can be used to analyze passenger data to predict behavior, preferences and improve personalized service offerings.”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [118]
Cites
Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2205597 · Cited by 10,260 · see citing works
Building high-level features using large scale unsupervised learning
Le, Q. V. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6639343 · Cited by 1,695 · see citing works
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187 · see citing works
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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
A survey towards an integration of big data analytics to big insights for value-creation
Saggi, M. K., & Jain, S. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.010 · Cited by 494 · see citing works
Digital transformation in water organizations
Boyle, C., Ryan, G., Bhandari, P., Law, K. M. Y., Gong, J., & Creighton, D. (2022) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001555 · Cited by 70 · see citing works
Recent trends in computational intelligence for educational big data analysis
Ikegwu, A. C., Nweke, H. F., & Anikwe, C. V. (2024) · Iran Journal of Computer Science · doi:10.1007/s42044-023-00158-5 · Cited by 53 · see citing works
- Authors
- Iqbal, R., Doctor, F., More, B., Mahmud, S., & Yousuf, U.
- Affiliations
- Coventry University (GB)
- University of Essex (GB)
- Corresponding author
- Iqbal, Rahat
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 105
- Pages
- 766-778
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2769202530
- Cited by
- 155
- References
- 3
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 27 · 2023: 21 · 2022: 31 · 2021: 16 · 2020: 11 · 2019: 7 · 2018: 9
- FWCI
- 13.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Future Generation Computer Systems (publishedVersion)
- Open Access at Essex (University of Essex) (acceptedVersion)
- Pure (Coventry University) (submittedVersion)
- Funders
- Technology Strategy Board
- European Regional Development Fund
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
- Keywords
- big data analytics, computational intelligence, cyber-physical systems, deep belief network, autoencoder, agglomerative clustering, temporal sequence processing, health data, intelligent transportation systems, cyber-physical architecture, soft computing
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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