The outbreak and spread of COVID-19 remind us again of the devastating attack that human-
to-human transmitted respiratory infectious diseases (H-HRIDs) bring to global economics …

We present a novel approach for estimating the proportional distributions of function types
(ie functional distributions) in an urban area through learning semantics preserved …

News recommendation systems? purpose is to tackle the immense amount of news and
offer personalized recommendations to users. A major issue in news recommendation is to …

The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …

Points-of-interests (POIs) have been proven to be indicative for sensing urban land use in
numerous studies. However, recent progress mainly relies on spatial co-occurrence patterns …

A news-recommendation system is designed to deal with massive amounts of news and
provide personalized recommendations for users. Accurately modeling of news and users is …

Region similarity learning plays an essential role in applications such as business site
selection, region recommendation, and urban planning. Earlier studies mainly represent …

With the increasing availability of Point-of-Interest (PoI) data driven by the widespread
adoption of location-based services, there is a growing demand to comprehend the …

Modeling trajectory data with generic-purpose dense representations has become a
prevalent paradigm for various downstream applications, such as trajectory classification …

Книга исследует наблюдение серебристых облаков из космоса и с Земли.
Серебристые облака рассматриваются как сложная система. Книга описывает …