S. M. Riazul Islam

TL;DR: Simulation results depict that the data dissemination based-SDN supported by multi-access edge computing over SDMEV can improve the latency requirements for V2X services.

TL;DR: This paper compares the performance of five widely used ML algorithms, namely, the support vector machine, random forest, k-nearest neighbor, logistic regression, and decision tree to predict AD progression with a prediction horizon of 2.5 years and concludes that the random forest model achieves the most accurate performance compared to other models.

TL;DR: The results show that the anonymization algorithm guarantees safety features for the considered IoT system applied in context of the healthcare communication systems and includes a secure encryption process that enables health data anonymity.

TL;DR: In this paper, the authors provide an overview of recent advancements in therapeutic response prediction using machine learning, which is the most widely used branch of artificial intelligence, and highlight the current challenges in therapy response prediction for clinical practice.

TL;DR: In this paper, the secrecy performance of a mixed radio frequency-free space optical (RF-FSO) system with a variable gain relaying scheme was investigated under the attempt of wiretapping by an eavesdropper.