The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Fire detection based on vision sensor and support vector machines
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
The Nature of Statistical Learning Theory
Vapnik, V. N. (2000) · Springer eBooks · doi:10.1007/978-1-4757-3264-1 · Cited by 10,696
An early fire-detection method based on image processing
Chen, T.-H., Wu, P.-H., & Chiou, Y.-C. (2005) · 2004 International Conference on Image Processing, 2004. ICIP '04. · doi:10.1109/icip.2004.1421401 · Cited by 644
Computer vision based method for real-time fire and flame detection
Töreyin, B. U., Dedeoğlu, Y., Güdükbay, U., & Çetin, A. E. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.06.015 · Cited by 639
Algorithms for cooperative multisensor surveillance
Collins, R. T., Lipton, A. J., Fujiyoshi, H., & Kanade, T. (2001) · Proceedings of the IEEE · doi:10.1109/5.959341 · Cited by 599
Learning gender with support faces
Moghaddam, B., & Yang, M.-H. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000244 · Cited by 598
Purely buoyant diffusion flames : some experimental results
McCaffrey, B. J. (1979) · doi:10.6028/nbs.ir.79-1910 · Cited by 540
Phillips III, W., Shah, M., & da Vitoria Lobo, N. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(01)00135-0 · Cited by 275
Liu, C.-B., & Ahuja, N. (2004) · Cited by 195
Liu, C.-B., & Ahuja, N. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1333722 · Cited by 144
Cited by
Muhammad, K., Ahmad, J., & Baik, S. W. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.04.083 · Cited by 558
Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications
Muhammad, K., Ahmad, J., Lv, Z., Bellavista, P., Yang, P., & Baik, S. W. (2019) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2018.2830099 · Cited by 537
Foggia, P., Saggese, A., & Vento, M. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2392531 · Cited by 483
Forest fire and smoke detection using deep learning-based learning without forgetting
Sathishkumar, V. E., Cho, J., Subramanian, M., & Naren, O. S. (2023) · Fire Ecology · doi:10.1186/s42408-022-00165-0 · Cited by 259
Hashemzadeh, M., & Zademehdi, A. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.04.019 · Cited by 100
Metadata
- Authors
- Ko, B. C., Cheong, K.-H., & Nam, J.-Y.
- Venue
- Fire Safety Journal
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 44
- Issue
- 3
- Pages
- 322-329
- ISSN
- 0379-7112 (ISSN-L)
- OpenAlex
- W1971256340
- Cited by
- 388
- References
- 12
- FWCI
- 57.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Ko, B. C., Cheong, K.-H., & Nam, J.-Y. (2009). Fire detection based on vision sensor and support vector machines. Fire Safety Journal. https://doi.org/10.1016/j.firesaf.2008.07.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
