Multidimensional nuclear magnetic resonance (NMR) spectroscopy is used to examine the
chemical structures of the studied systems. Unfortunately, the application of NMR spectra is …

Pathological diagnosis is the gold standard for disease assessment in clinical practice. It is
conducted by inspecting the specimen at the microscopical level. Therefore, a very high …

Nowadays, satellite images are used in various governmental applications, such as
urbanization and monitoring the environment. Spatial resolution is an element of crucial …

Diatom is a dominant phytoplankton and commonly found in oceans or waterways. The
captured phytoplankton microscopic images suffer from low contrast and surrounding debris …

Computed tomography (CT) and magnetic resonance imaging (MRI) are widely utilized
modalities for primary clinical imaging, providing crucial anatomical and pathological …

Image Super-Resolution is a technique that is used to obtain high-resolution, realistic
images from low-resolution input images. Deep learning algorithms such as SRCNN …

This paper presents how this image super-resolution works in different areas in the real
world. The technique of converting low-quality pictures into high-resolution images is …

Image superresolution (ISR) is a hot topic. With the success of deep learning, the
convolutional neural network‐based ISR makes great progress recently. However, most …

Ultrasound (US) simulators are safe and cost-effective alternatives to real US systems for
education and research. Numerical simulators employ heavy computations and simplifying …

Water is the most momentous for all types of species, this need is notably more predominant
for anthropoids, and this is since blood in the anthropoid body requires about 90% of water …