Variations in the concentrations and distribution of suspended particulate matter (SPM) of
lakes can be used to show the responses of lake environment to climate and landscape …

Accurate monitoring of the spatial-temporal distribution and variability of phytoplankton
group (PG) composition is of vital importance in better understanding of marine ecosystem …

Phytoplankton play a central role in the planetary cycling of important elements and
compounds. Understanding how phytoplankton are responding to climate change is …

Agricultural land abandonment (ALA) is becoming a growing phenomenon around the world
that needs to be monitored and quantified. A massive abandonment of citrus orchards has …

With the reduction of large oil spills because of stricter regulations and safety measures, the
question of how to manage smaller oil spills arises. Few on-site analytical tools are available …

Characterizing global phytoplankton pigment profiles in the ocean is crucial for
comprehending phytoplankton dynamics. This study develops a self-attention-based deep …

Decision-making plays a critical role in an individual's interpersonal interactions and
cognitive processes. Due to the issue of strong subjectivity in the classification research of …

Recent geospatial machine learning studies have shown that the results of model evaluation
via cross-validation (CV) are strongly affected by the dissimilarity between the sample data …

Decision-making is an integral part of an individual's life. Due to the small amount of data in
the art design decision dataset, we increase the amount of data using data augmentation …

The primary focus of this chapter is to provide readers with a comprehensive understanding
of the fundamental ideas of machine learning, its evolutionary background, and its wide …