In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …

Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

Abstract Objectives Convolutional neural networks (CNNs) are increasingly applied for
medical image diagnostics. We performed a scoping review, exploring (1) use cases,(2) …

Within the recent pandemic, scientists and clinicians are engaged in seeking new
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …

The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …

Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …

Background With the advent of deep learning in modern computing there has been
unprecedented progress in image processing and segmentation. Deep learning-based …

Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to
systematically review studies employing DL for periodontal and implantological purposes. A …