Object detection or localization is an incremental step in progression from coarse to fine
digital image inference. It not only provides the classes of the image objects, but also …

After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

Flood forecasting is an essential requirement in integrated water resource management.
This paper suggests a Long Short-Term Memory (LSTM) neural network model for flood …

Data‐driven science is heralded as a new paradigm in materials science. In this field, data is
the new resource, and knowledge is extracted from materials datasets that are too big or …

The electroencephalogram (EEG) provides a non-invasive, minimally restrictive, and
relatively low-cost measure of mesoscale brain dynamics with high temporal resolution …

Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …

Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …

The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or
substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as …

Objectives Deep convolutional neural networks (CNNs) are a rapidly emerging new area of
medical research, and have yielded impressive results in diagnosis and prediction in the …