After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …

Internet of Things (IoT) devices often operate with limited resources while interacting with
users and their environment, generating a wealth of data. Machine learning models interpret …

One of the most challenging factors related to masked face age and gender identification
(MFAGI) is develo** a technique to quickly carry out identification and maintain accuracy …

Abstract As the “Internet of Medical Things (IoMT)” grows, healthcare systems can collect
and process data. It is also challenging to study public health prevention requirements. Virus …

In recent years, advances in deep learning (DL) techniques for video analysis have
developed to solve the problem of real-time processing. Automated face recognition in the …

This study focuses on enhancing office security through a smart door system, designed to
protect sensitive documents and critical data. Emphasizing exclusive access for authorized …

Success in student learning is the primary aim of the educational system. Artificial
intelligence utilizes data and machine learning to achieve excellence in student learning. In …

This paper proposes an improved strategy for the MobileNetV2 neural network (I-
MobileNetV2) in response to problems such as large parameter quantities in existing deep …

In the consumer space, deep fakes refer to highly realistic, AI-generated images, audio, or
videos that mimic real people generated by cutting-edge technologies such as Generative …

A crucial part of computer vision, face detection has many uses, such as security systems
and facial recognition. The four well-known face detection algorithms Viola-Jones, MTCNN …