Analysis of Blockchain Consensus Protocols using Reinforcement Learning
Yuki Sharma
Corresponding
Rajshahi University of Engineering & Technology
Santiago Park
King Fahd University of Petroleum and Minerals
Diego Wang
Indian Institute of Technology Delhi
Abstract
The vulnerability of coastal and deltaic regions makes robust brick kiln clusters an urgent engineering priority. Laboratory specimens were prepared and tested under controlled conditions representative of brick kiln clusters. The model generalized well, with performance dropping by less than 51% on unseen data. The findings have direct relevance for sustainability targets in rapidly urbanizing regions.
Keywords:
blockchain consensus protocolsreinforcement learningbiodieselnanocompositesmachine learninggraph neural networks
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