Optimal Cellular Microscopic Pattern Recognizer- (OCMPR-) Based Wireless Detection Network for Efficiently Leveraging the Parallel Distributed Processing Capabilities

Recognizing patterns associated with particular events enables the detection of specific critical changes in the events. Due to the resource constraints inherent in WSNs, pattern recognition is highly dependent on the complexity of the computation, the number of iterations, and the requirements for...

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Detalles Bibliográficos
Autores principales: Kaleeswaran, D., Kavitha, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402381/
https://www.ncbi.nlm.nih.gov/pubmed/36072309
http://dx.doi.org/10.1155/2022/5875260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402381/
https://www.ncbi.nlm.nih.gov/pubmed/36072309
http://dx.doi.org/10.1155/2022/5875260

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