… such as Support Vector Machines (SVM), Clustering, Bagging, and Deep Learning (DL) …
the threats on a block chain network. Finally, we discuss how two different techniques can be …

… This architecture can be used to design and deploy an ML-BT based data analysis system. A
… resource management in mobile blockchain networks: A deep learning approach,” in 2018 …

… be addressed before the widespread deployment of the integration of blockchain and ML,
including … survey on the integration of blockchain and ML techniques for communications and …

… effectiveness of using blockchain based decentralized machine learning approach in UAVs
and … training and creating a deployment-ready machine learning model. Furthermore, we use …

… of Blockchain and machine learning. In this work, we first cope with the challenge of
deploying a distributed ID system in IoT networks by presenting a spectral partitioning technique, …

… Recently, many communities in blockchain networks want to deploy machine learning … in
the initial step because we only consider the DML process on the blockchain network, not how …

… , and machine learning to study the blockchain running … Finally, in order to facilitate the
deployment of blockchain-based … mathematical methods to define a specific blockchain problem, …

… The primary objective of the present study is to understand the behavioral process of
blockchain adoption within organizations. Many organizations are already implementing the …

… extensive deployment. Recent efforts have explored the use of blockchain in decentralized
… Specifically, in this paper, we introduce a resource-efficient, blockchain-based solution for …

… the methodology of RTS-DELM implemented in blockchain-based smart homes to detect any
malicious activity. The approach of … In this article, we analyze the RTS-DELM deployment …