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A machine learning approach to predict the k-coverage proba..:
Nagar, Jaiprakash
;
Chaturvedi, Sanjay Kumar
;
Soh, Sieteng
.
Expert Systems with Applications. 226 (2023) - p. 120160 , 2023
Link:
https://doi.org/10.1016/j.eswa.2023.120160
RT Journal T1
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.eswa.2023.120160&Exemplar=1&LAN=DE A1 Nagar, Jaiprakash A1 Chaturvedi, Sanjay Kumar A1 Soh, Sieteng A1 Singh, Abhilash PB Elsevier BV YR 2023 SN 0957-4174 JF Expert Systems with Applications VO 226 SP 120160 LK http://dx.doi.org/https://doi.org/10.1016/j.eswa.2023.120160 DO https://doi.org/10.1016/j.eswa.2023.120160 SF ELIB - SuUB Bremen
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