The mechanization of farming is currently the most pressing problem facing humanity and a
burgeoning academic field. Over the last decade, there has been an explosion of Internet of …

Emotion detection is a growing field of research in computer vision, in particular ARCore
technology has opened new possibilities for real-time emotion detection using mobile …

This research study analyzes the state-of-the-art research works in face detection systems,
with a focus on machine learning approaches. The review covers recent studies that employ …

Cross-Site Scripting (XSS) represents one of the most prevalent application layer attacks
perpetrated by an attacker, a client, and the web server. Cyber-attacks steal clients' …

Community mask use is an efficacious non-pharmacologic way to minimize viral infection
spread. It is a recommendation that individuals wear face masks as protective gear. Under …

Digital Twin's popularity is growing in the past few years due to its great potential in
manufacturing, healthcare, and other electronic infrastructures. A digital twin presents a …

Precisely monitoring of animal cranial regions is crucial in various fields, such as wildlife
preservation, farming, and ecological investigation. The current study introduces a deep …

The detection and classification of faults in optical fiber networks are essential for
maintaining their performance and uninterrupted service, as they are vital communication …

Apple leaf diseases must be precisely and robustly classified in order to manage disease in
orchards. In this project, classification accuracy will be increased by combining deep …

The domain of aerospace image classification has observed noteworthy progressions with
the emergence of deep learning methodologies. The potential of deep learning models in …