Deciphering the deep: machine learning approaches to understanding oceanic ecosystems
The role of machine learning in oceanic research. Application of artificial intelligence in oceanography. Forecasting ocean currents using ML models. Implementation of ML algorithms for the analysis of marine biodiversity and deep-sea ecosystems.
Подобные документы
Observation of the main changes in the snow cover area of the Mongolian plateau using the MODIS remote probe, analysis of the spatial and temporal characteristics of the height of the cover, comparison of the maximum snow cover area for 12 years.
статья, добавлен 17.05.2022Analysis of water resources management systems in the Tekeze river basin. Lack of any bilateral agreements between the riparian states of the Tekeze River Basin. Clash of interests between the Tekeze basin countries. Permanent conflict in the region.
статья, добавлен 07.04.2021Review and analysis of size and age structure of the economically active population of the Kemerovo region and the Altai territory. Characteristics of the effect of migration on the population size and age structure of active female and male population.
статья, добавлен 28.09.2016