The study examines how Natural Language Processing (NLP) can be used to automatically
detect fake news and how it can be applied to fact-checking in the disciplines of linguistics …

Abstract The Internet of Things (IoT) network is a fast-growing technology, which is efficiently
used in various applications. In an IoT network, the massive amount of connecting nodes is …

With the rapid growth in the amount of data transmissions over Internet of Things (IoT)
networks, a large amount of bursty traffic is more prone to cause serious network …

In today's digital landscape, Distributed Denial of Service (DDoS) attacks stand out as a
formidable threat to organisations all over the world. As known technology gradually …

Heart disease classification is a critical task in healthcare, aiming to diagnose patients and
provide timely treatment accurately. In this study, we employed Random Forest machine …

Apples, esteemed as one of the most widely cultivated and consumed fruits globally, hold a
profound significance not only in the agricultural sector but also in human health and …

Maize leaf diseases exhibit visible symptoms and are currently diagnosed by expert
pathologists through personal observation, but the slow manual detection methods and …

Obesity represents a pressing global health concern with profound physical and mental
implications. Its prevalence continues to rise steadily, underscoring the need for novel …

This study addresses the use of ensemble learning methods to predict various types of
anemia. The data, obtained from a healthcare dataset, encompasses nine classes …