Abstract Machine learning-based geospatial applications offer unique opportunities for
environmental monitoring due to domains and scales adaptability and computational …

Satellite data allows us to solve a wide range of challenging tasks remotely, including
monitoring changing environmental conditions, assessing resources, and evaluating …

With the rise of electronic data, particularly Earth observation data, data-based geospatial
modelling using machine learning (ML) has gained popularity in environmental research …

Рассматривается применение физически информированных нейронных сетей с
использованием многослойных персептронов для решения задач Коши, в которых …

Оперативный мониторинг природной и техногенной среды на множестве длин волн
электромагнитного излучения обеспечивает получение уникальных данных …

To promote a healthy lifestyle in China, we began by examining the issue of unhealthy
eating habits among urban white-collar workers. By conducting field surveys and using …

In the last decade, e-commerce has developed rapidly and created convenience for
consumers. In order to increase operational efficiency and improve service quality, many e …

Swarm intelligence optimisation algorithm is currently a hot spot in the field of algorithm
research, and this paper focuses on swarm intelligence optimisation algorithm based on …