Sparse system identification is the data-driven process of obtaining parsimonious differential
equations that describe the evolution of a dynamical system, balancing model complexity …

The monitoring and evaluation of air quality is a topic of great global interest as, with the
decline of air quality, there are negative effects on human health and ecosystems. Thus, the …

The sparse identification of nonlinear dynamics (SINDy) has been established as an
effective technique to produce interpretable models of dynamical systems from time …

One of the priority tasks in the field of meteorology is the search for solving problems related
to the assessment and forecasting of the quality of the air environment. The article presents …

Data is widely recognized as a crucial player in the fourth industrial revolution, in which
engineers and computers must harness data to enhance the efficiency of industrial …

Рассмотрена проблема загрязнения атмосферного воздуха в регионах. Уделено
внимание разработке и внедрению автоматизированных систем контроля загрязнения …

Harmful algal blooms (HABs) are one of the major environmental concerns, as they have
various negative effects on public health, recreational services, ecological balance, wildlife …