Enhancing Explainability in Mobility Data Science through a combination of methods
In the domain of Mobility Data Science, the intricate task of interpreting models trained on
trajectory data, and elucidating the spatio-temporal movement of entities, has persistently …
trajectory data, and elucidating the spatio-temporal movement of entities, has persistently …
SOCIALLY RESPONSIBLE USE OF ARTIFICIAL INTELLIGENCE IN SMART CITIES: AN ETHICAL IMPERATIVE
D POPESCUL, LD RADU - EUFIRE-RE 2024, 2024 - ceeol.com
Currently, Artificial Intelligence (AI) is promisingly complementing the technological
landscape associated with smart cities, consisting of contextual combinations of solutions …
landscape associated with smart cities, consisting of contextual combinations of solutions …
GeoXAI 를활용한서울시탄소흡수예측지도제작
김근한 - 한국기후변화학회지, 2023 - dbpia.co.kr
With the announcement of the carbon neutral green growth basic plan, it became necessary
to calculate carbon absorption at the city level. Because existing methods require a lot of …
to calculate carbon absorption at the city level. Because existing methods require a lot of …
[HTML][HTML] GeoAI: key developments & insights
LLM AI - anitagraser.com
Background A week ago, I had the pleasure to attend a “Specialist Meeting” on GeoAI here
in Vienna, meeting over 40 researchers from around the world, from Master students to …
in Vienna, meeting over 40 researchers from around the world, from Master students to …
[HTML][HTML] Author Archives: underdark
LLM AI - anitagraser.com
Background A week ago, I had the pleasure to attend a “Specialist Meeting” on GeoAI here
in Vienna, meeting over 40 researchers from around the world, from Master students to …
in Vienna, meeting over 40 researchers from around the world, from Master students to …