Objectives The availability of large and varied Electroencephalogram (EEG) datasets,
rapidly advances and inventions in deep learning techniques, and highly powerful and …

Mineral image segmentation is widely used in mining, sorting, exploration, composition
analysis, and other production works. The burgeoning field of deep learning provides …

Changes on lakes and rivers are of great significance for the study of global climate change.
Accurate segmentation of lakes and rivers is critical to the study of their changes. However …

Water is a vital resource that makes it possible for human life forms to exist. The need for
freshwater consumption has significantly increased in recent years. Seawater treatment …

Identification of geological features from seismic data such as faults, salt bodies, and
channels, is essential for studies of the shallow Earth, natural disaster forecasting and …

Many areas of Earth's surface with large accumulations of gas and oil even have huge
deposits of salt under the surface. Exploring such deposits helps many countries to increase …

The salt body is one of the important structures in reservoirs, but there are still challenges in
fully interpreting salt bodies from three-dimensional seismic data. In actual exploration and …

Salt dome detection in seismic images is a critical aspect of hydrocarbon exploration and
production. Salt domes are subsurface structures formed from the accumulation of salt …

Deep learning (DL) has stimulated the intelligent processing and interpretation of seismic
big data for oil and gas exploration in the past decade. In the applications to seismic …

Neural networks have been used in various computer vision applications, including noise
removal. However, removing seismic noise via deep learning approaches faces a specific …