… integral part of blockchain network. … blockchain and machine learning in this article. Then,
we presented a comprehensive taxonomy for integration of blockchain and machine learning …

… blockchain based secure data. Analytics on these data raises the importance of arisen
technology Machine Learning (… Vector Machines (SVM), clustering, bagging, and Deep Learning (…

… system for managers to predict an organization's probability of successful blockchain adoption
using a machine learning technique. The study conceptualizes blockchain technology as …

… Through Artificial Intelligence and its deep learning capacities, blockchain can improve its
implementation, automation, and securitization of the data transacted, or analyzed. Further …

… Motivated by this, proposed a blockchain and federated learning-based data management
… It is a privacy-preserving, distributed machine learning approach that trains data on a …

… the integration of blockchain and ML, including resource management, data processing…
blockchain and ML technologies. We identify several important aspects of integrating blockchain …

… To overcome this problem Machine Learning and Blockchain can be used, BT has a distributed
… Machine Learning (ML) in the field of Artificial Intelligence focus on building applications …

… of IoT, blockchain, and machine learning demonstrates the … adaptation mechanism of machine
learning and blockchain in … applications based on machine learning, blockchain, and IoT …

… RL empowers blockchain networks with adaptive and intelligent decision-making capabilities.
RL agents can learn to identify attack patterns, anticipate vulnerabilities, and respond to …

… enabling resources, and adaptive consensus protocols. Moreover, inspired by the … of deep
learning used in the blockchain, we also present an adaptive management approach by deep …