Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

No system entity within a contemporary distributed cyber system can be entirely trusted.
Hence, the classic centralized trust management method cannot be directly applied to it …

Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

Fake news is frequently disseminated through social media, which significantly impacts
public perception and individual decision-making. Accurate identification of fake news on …

Abstract The Internet of Medical Things (IoMT) has emerged as a significant research area in
the medical field, enabling the transmission of various types of data to the cloud for analysis …

This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …

Enhancing the utilization of new energy consumption relies significantly on mid-to-long-term
load forecasting. However, current studies face limitations in effectively extracting and …

We propose a mathematical model to analyze the monkeypox disease in the context of the
known cases of the USA epidemic. We formulate the model and obtain their essential …