… cryptocurrency time series using machine learning (ML) approach. Focus on studying of the
financial time series allows to analyze the methodological … in the methodology for assessing …

… A newer and more efficient methodology is required to prevent phishing attempts. This … on
machine-learning algorithms, which can accurately predict phishing attempts in the blockchain…

… a blockchain-based learning platform for machine learning … combine blockchain technologies
and machine learning models … using a dedicated blockchain and a fair rewarding system. …

… for task allocation in blockchain-based crowdsourcing … Machine Learning (ML) models, to
improve the task allocation performance and maintain worker engagement. Existing blockchain…

… In this section, we present the proposed methodology for the prediction problem. We first
discuss the … We then briefly discuss the machine learning models used in order to predict the …

… Blockchain to mitigate attacks on FL algorithms operating in Internet of Things (IoT) systems.
Integrating Blockchain … approach for the integration of Blockchain with FL to provide privacy-…

… The Ethereum blockchain platform is another popular blockchain platform … machine learning
contracts; Evaluating and exchanging machine learning models on the Ethereum blockchain…

… based on machine learning and blockchain. There are two machine learning algorithms—…
The machine learning techniques train the dataset based on the fraudulent and integrated …

… through the blockchain, edge computing, and machine learning to … of blockchain, edge
computing, and machine learning … Blockchain technology utilizes the data transmission and the …

… Design/methodology/approach The research employs structural equation modelling (SEM)
and a machine learning approach to identify factors influencing the ABT behaviour that …