… On the other hand, machine learning techniques enable … of combining blockchain technology
and machine learning … of applying blockchain and machine learning techniques for smart …

… can implement Blockchain technology… blockchain, then no one can modify the contents and
also if they try to do so then it will be easily identified. 1) Methodology:Blockchain: Blockchain …

… methodology for an anti-malware solution addressing Android platforms, based on advanced
machine learning … while Section III proposes a methodological framework for design and …

… introduces a methodology that can be followed when choosing a blockchain platform. The
goal of this paper will be to create a methodology to choose the best blockchain platform to …

… 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 …

… data to predict heart diseases, and demonstrated that the Support Vector Machine (SVM)
methodology offers exceptional precision. As found in this study, research hotspots include …

… Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs …
Furthermore, Blockchain (BC) techniques are becoming popular in modern IoT applications …

… and control system, there is a need to model a solution for organizing, sharing and analyzing
the disease data with trusted, privacy-preserving and interoperable methodologies to …

… In this paper, we propose a novel methodology named BBS to better characterize blockchains
at micro-architecture level as well as to more reasonably measure the similarity between …

… the blockchain machine learning-based food traceability system (BMLFTS) for designing the
adaptive blockchain-… First, machine learning techniques are applied in order to predict the …