As a particular type of artificial neural networks, self-organizing maps (SOMs) are trained
using an unsupervised, competitive learning to produce a low-dimensional, discretized …

Coupled ocean-atmosphere science steadily advances with increasing information obtained
from long-records of in situ observations, multiple-year archives of remotely sensed satellite …

Machine learning approaches are valuable methods in hyperspectral remote sensing,
especially for the classification of land cover or for the regression of physical parameters …

Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …

Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …

Effective characterization of lithology is vital for the conceptualization of complex aquifer
systems, which is a prerequisite for the development of reliable groundwater-flow and …

Kecukupan konsumsi pangan merupakan salah satu penunjang terbentuknya sumber daya
manusia unggul yang menjadi fokus kebijakan pembangunan di Indonesia. Agar konsumsi …

In situ observations are vital to improving our understanding of the variability and dynamics
of the ocean. A critical component of the ocean circulation is the strong, narrow, and highly …

An understanding of how sound travels is necessary to gain knowledge of an underwater
environment. However, variability in the underwater domain makes it difficult to get a reliable …

Epilepsy is a nervous disorder occurring in the cerebral cortex location of the brain which is
caused by irregular harmonization of neurons. Since the existence of this disorder is …