B. Prabadevi

TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.

TL;DR: A comprehensive survey on blockchain for big data, focusing on up-to-date approaches, opportunities, and future directions is provided, including blockchain for secure big data acquisition, data storage, data analytics, and data privacy preservation.

TL;DR: The proposed scheme RASGD improves the regularization of the classification model by using weight decay methods, namely least absolute shrinkage and selection operator and ridge regression methods, and attains an accuracy of 92%, which is better than the other selected classifiers.

TL;DR: In this article, state-of-the-art machine learning algorithms, namely Support Vector Machines (SVM), KNN, Logistic Regression, Naive Bayes, Neural Networks, and Decision Tree classifier, have been deployed for predicting the stability of the smart grid.

TL;DR: In this paper, a novel edge-of-things (BEoT) architecture for supporting industrial applications under the management of blockchain at the network edge in a wide range of IoT use cases such as smart home, smart healthcare, smart grid, and smart transportation is presented.