Titlebook: Data Communication and Networks; Proceedings of GUCON Lakhmi C. Jain,George A. Tsihrintzis,Dilip Kumar S Conference proceedings 2020 Spring

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Data Communication and Networks978-981-15-0132-6Series ISSN 2194-5357 Series E-ISSN 2194-5365

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assail

Petechiae

Climate Change and Arctic FisheriesWe have employed a chosen set of machine learning models?to solve the 3-CNF-SAT problem. Through f1-scores, we obtain how these algorithms perform at solving the?problem as a classification task. The implication?of this endeavour is exciting given the property of the NP-complete class problems being polynomial-time reducible to each other.

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GRACE

Corral

Trade Performance of CFGT in Asiation of individual node in the network. We have used AODV routing protocol for the analysis of individual node energy utilization in different mode of their operation. Finally, we observed that in receiving mode nodes average energy consumption is higher as compared to transmit mode operation.

archaeology

fastness

,Fault Classification in a Transmission Line Using Levenberg–Marquardt Algorithm Based Artificial Ned under normal and faulty conditions for different fault locations and fault impedances. The learning of feed forward ANN-based fault classifier is carried out using Levenberg–Marquardt algorithm for training the data obtained for IEEE 14 bus system.