Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Metasurfaces have provided unprecedented freedom for manipulating electromagnetic
waves. In metasurface design, massive meta-atoms have to be optimized to produce the …

The impact of price and price changes should not be ignored while designing algorithms for
predicting customer choice. Consumer preferences should be modeled with consideration of …

Probabilistic forecasting is significant in coping with the strong uncertainty of photovoltaic
(PV) power, which provides the occurrence scope and corresponding probability information …

During the production of carbon fiber composites (CFC), various forming methods and
complex processes can introduce different types of defects, with lamination defects being a …

Convolutional neural networks (CNNs) are deep learning models used widely for solving
various tasks like computer vision and speech recognition. CNNs are developed manually …

Magnetic resonance (MR) and computer tomography (CT) images are two typical types of
medical images that provide mutually-complementary information for accurate clinical …

The panoramic dental X-ray images are an essential diagnostic tool used by dentists to
detect the symptoms in an early stage and develop appropriate treatment plans. In recent …

Magnetic resonance (MR) and computer tomography (CT) imaging are valuable tools for
diagnosing diseases and planning treatment. However, limitations such as radiation …

We investigate a satellites-based spectrum sensing system in the presence of low signal-to-
noise ratio (SNR) conditions. Such a low SNR is also called SNR wall in the energy …