The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Neural classification of lung sounds using wavelet coefficients
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Citations
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,372
(2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,370
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
Hagan, M., Demuth, H. B., Beale, M. H., & Jes?s, O. D. (2016) · Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia) · Cited by 5,133
Adapting to Unknown Smoothness via Wavelet Shrinkage
Donoho, D. L., & Johnstone, I. M. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476626 · Cited by 4,630
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Riedmiller, M., & Braun, H. (2002) · IEEE International Conference on Neural Networks · doi:10.1109/icnn.1993.298623 · Cited by 3,917
Abe, S. (2001) · Springer eBooks · doi:10.1007/978-1-4471-0285-4 · Cited by 3,721
Respiratory Sounds: Advances Beyond the Stethoscope
PASTERKAMP, H., KRAMAN, S. S., & WODICKA, G. R. (1997) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.156.3.9701115 · Cited by 634
A review of evidence of health benefit from artificial neural networks in medical intervention
Lisboa, P. J. G. (2002) · Neural Networks · doi:10.1016/s0893-6080(01)00111-3 · Cited by 458
Cited by
EEG signal classification using wavelet feature extraction and a mixture of expert model.
SUBASI, A. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.02.005 · Cited by 1,182
EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks
Jahankhani, P., Kodogiannis, V., & Revett, K. (2006) · IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) · doi:10.1109/jva.2006.17 · Cited by 313
Epileptic seizure detection using hybrid machine learning methods
Subasi, A., Kevric, J., & Abdullah Canbaz, M. (2019) · Neural Computing and Applications · doi:10.1007/s00521-017-3003-y · Cited by 309
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
SUBASI, A. (2005) · Expert Systems with Applications · doi:10.1016/j.eswa.2004.12.027 · Cited by 289
Classification of lung sounds using convolutional neural networks
Aykanat, M., Kılıç, Ö., Kurt, B., & Saryal, S. (2017) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-017-0213-2 · Cited by 256
Metadata
- Authors
- Kandaswamy, A., Kumar, C. S., Ramanathan, R. P., Jayaraman, S., & Malmurugan, N.
- Venue
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 34
- Issue
- 6
- Pages
- 523-537
- ISSN
- 0010-4825 (ISSN-L)
- OpenAlex
- W1980128308
- Cited by
- 370
- References
- 18
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural classification of lung sounds using wavelet coefficients. https://app.cochat.ai/papers/10.1016/s0010-4825(03)00092-1
- The paper
- Kandaswamy, A., Kumar, C. S., Ramanathan, R. P., Jayaraman, S., & Malmurugan, N. (2004). Neural classification of lung sounds using wavelet coefficients. Computers in Biology and Medicine. https://doi.org/10.1016/s0010-4825(03)00092-1
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.
