… blockchain adoption using a machine learning technique. The study conceptualizes
blockchain … The factors influencing the blockchain adoption behavior were modeled using the …

… In order to demonstrate the proposed architecture for ML adoption in blockchain-based
smart applications, we present a case study, as shown in Figure 6. In this case study, we study …

… adoption and develops a framework for estimating the likelihood of the TAB. This research
is one of the initial works on TAB that uses machine learning algorithms to estimate adoption …

… a resource-efficient, blockchain-based solution for secure and … Deep Extreme Learning
Machine (DELM). In this proposed approach, the Smart Home Architecture based in Blockchain is …

… that primarily used either machine learning (ML), blockchain technology, or both. Main
objective, layer-oriented, countermeasures-oriented, and smart applicationsoriented are the four …

… raises the importance of arising technology Machine Learning (ML). ml … study on ml adoption
we BTbased present applications … on ml adoption in the blockchain-based good application. …

… a machine learning-based method that simplifies the digital signing process. The method
provides … The objective of this article is to propose a novel method that will enable an automatic …

… This study employs a machine learning approach to examine … prediction accuracy of blockchain
technology (BT) adoption. The … First, we examine blockchain adoption at the institutional …

… deep neural networks results with shallow ANN approach. The aim of the study is to compare
the findings generated, by applying deep … study also used deep learning based of artificial …

… adoption of blockchain technology (ABT) amongst SMEs. Design/methodology/approach
The research employs structural equation modelling (SEM) and a machine learning approach …