Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Inspired by biological neurons, the activation functions play an essential part in the learning
process of any artificial neural network (ANN) commonly used in many real-world problems …

Artificial Neural Networks (ANNs) are modern computing methods that have been used
extensively in solving many complicated problems in the physical world. The attractiveness …

The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …

Non-destructive testing (NDT) is a set of techniques used for material inspection and
detection of defects. Ultrasonic testing (UT) is one of the NDT techniques, commonly used to …

CNNs and other deep learners are now state-of-the-art in medical imaging research.
However, the small sample size of many medical data sets dampens performance and …

Convolutional neural networks (CNNs) have become a useful tool for a wide range of
applications such as text classification. However, CNNs are not always sufficiently accurate …

Voice conversion (VC) emerged as a significant domain of research in the field of speech
synthesis in recent years due to its emerging application in voice-assistive technologies …

In computer vision and image analysis, Convolutional Neural Networks (CNNs) and other
deep-learning models are at the forefront of research and development. These advanced …

Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …