R. Lakshmana Kumar

TL;DR: In this article, a rule-based clustering algorithm is applied to cluster the patient health records and diabetic and cardio diseases are predicted using feature selection based adaptive neuro-fuzzy inference system (FS-ANFIS).

TL;DR: This paper highlights the development of a system based on Artificial Intelligence for Medical Science, where humanoids can navigate through desired destinations, diagnose an individual for Covid-19 through various parameters and make a survey of a locality for the same.

TL;DR: In this paper, two learning algorithms, namely deep learning and reinforcement learning, were developed to forecast COVID-19, which outperformed the Long Short-Term Memory (LSTM) and the Machine Learning model, Logistic Regresion (LR) in terms of error rate.

TL;DR: In this paper, a combination of the Internet of Things (IoT) and blockchain is proposed for industrial IoT, which is termed Blockchain for Industrial IoT (BIIOT).

TL;DR: In this paper, the authors present a survey on the integration of blockchain with aerial communications (BAC) and their current security issues, blockchain and its advantages, the feasibility and opportunity of applying the blockchain to resolve the current security issue in aerial communication networks.