N. Deepa

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: This research proposes an expert system by integrating sensor networks with Artificial Intelligence systems such as neural networks and Multi-Layer Perceptron (MLP) for the assessment of agriculture land suitability.

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 study, a machine learning based model implementing a random forest regression algorithm is used to predict the battery life of IoT devices and it is proved that the proposed model performs better than other state-of-art regression algorithms in preserving the batterylife of IoT Devices.