… This paper proposes a methodology where we can use intelligent software agents to … in the
blockchain networks to detect anomaly such as collusion, using supervised machine learning …

… Technologies can be implemented in education with the help of different methodologies,
contexts, and perspectives [10, 11]. Technology has strongly influenced the education system in …

… a decentralized machine learning framework based on blockchain. … We present the use of
blockchain to achieve decentralized … [60] proposed a methodology where machine learning is …

… modern and sophisticated machine learning techniques. … machine learning models to detect
anomalous transactions in various digital currency markets. We find that supervised learning …

… This study investigates the methodology of RTS-DELM implemented in blockchain-based
smart homes to detect any malicious activity. The approach of data fusion and the decision …

… machine learning and blockchain technologies is discussed in [10], where possible integrations
between blockchain and machine learning … Blockchain infrastructure holds potential to …

… In Related works section of this paper, related studies conducted in the fields of blockchain
and ML are described. Methodology section covers the methodology of the proposed system, …

… The proposed system in this research is the integration of IoT, Machine Learning (ML),
and for monitoring the manufacturing system. The environmental data are collected from IoT …

… In Section 1.1, we provided the survey methodology. The list of acronyms used is
presented in Table 2. Next, Section 2, discusses the related survey articles in ML and …

… , traceable nature of the blockchain, we employ the blockchain as the middleman, which …
private data of the outsourcer, while the blockchain is a public ledger that anyone can have …