Nanomaterials (NMs) possess unique properties that render them highly suitable for
developing sensitive and selective nanosensors across various domains. This review aims …

We describe a machine learning (ML) approach to processing the signals collected from a
COVID-19 optical-based detector. Multilayer perceptron (MLP) and support vector machine …

This research paper investigates the role of Artificial Intelligence (AI) and Machine Learning
(ML) in Cybersecurity Threat Detection. With the increasing frequency and complexity of …

Deepfake content is artificially created or altered using artificial intelligence (AI) methods to
appear real. Synthesis can include audio, video, images, and text. Deepfakes may now …

The creation and propagation of disinformation on social media is a growing concern. The
widespread dissemination of disinformation can have destructive effects on people's …

The spread of fake news among Arabic media including social media represents a great
challenge to the integrity of information and the trust of the public in it. In this paper, we …

This paper focuses on the detection of fake accounts on Instagram and proposes a novel
solution that aims to address this problem. More specifically, a machine learning-based …

Examining facial expressions is a crucial aspect that garners attention due to its significance
in divulging emotional states. This study delves into employing a robust deep learning …

Fake profiles, on Instagram, pose significant challenges in online spaces. These profiles are
fabricated with the intention to mislead and deceive by assuming the identity of genuine …

Few shot classification is the task of classifying unseen classes having only a few samples of
each of these unseen classes. A traditional approach of using the transfer learning on the …