Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices
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articleno = 11957,
author = {Agiollo, Andrea and Omicini, Andrea},
doi = {10.3390/app112411957},
iris = {11585/842440},
issn = {2076-3417},
journal = {Applied Sciences},
keywords = {Load Classification; Neural Networks; Embedding; Hyper-constrained Devices},
month = dec,
note = {Special Issue ``Artificial Intelligence and Data Engineering in Engineering Applications''},
number = 24,
publisher = {MDPI},
scholar = {14515352047550375229},
scopus = {2-s2.0-85121296114},
title = {Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices},
url = {https://www.mdpi.com/2076-3417/11/24/11957},
url-openaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
urlopenaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
urlpdf = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
volume = 11,
wos = {000735509300001},
year = 2021
}