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A study on different deep learning algorithms used in deep neural nets: MLP SOM and DBN
J Naskath, G Sivakamasundari, AAS Begum - Wireless personal …, 2023 - Springer
Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …
nonlinear layers that learns various levels of data representations. Deep learning employs …
Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks
S Tamizharasi, B Arunadevi, SN Deepa - Wireless Networks, 2023 - Springer
In mobile ad-hoc networks (MANETs) always the quality-of-service (QoS) routing problem
remains to exist and as a non-deterministic polynomial hard problem it is necessary to …
remains to exist and as a non-deterministic polynomial hard problem it is necessary to …
Deep Learning for MANET Routing
Power control and scheduling are among the most well-known resource allocation
challenges in wireless networks, and are often solved as optimization problems with …
challenges in wireless networks, and are often solved as optimization problems with …
Presenting a new routing protocol to improve energy consumption and congestion control in MANET communication networks using fuzzy logic
S Tabatabaei, H Shahraki - Fuzzy Systems and its Applications, 2023 - jfsa.fuzzy.ir
With the advancement of wireless communication technology, MANET networks have
attracted a lot of attention due to the improvement of flexibility and cost reduction. Mobile …
attracted a lot of attention due to the improvement of flexibility and cost reduction. Mobile …