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[HTML][HTML] Deep learning on spatiotemporal graphs: a systematic review, methodological landscape, and research opportunities
Deep learning approaches, given their low cost and high reliability, have gained much
popularity in different subjects, such as computer vision and natural language processing …
popularity in different subjects, such as computer vision and natural language processing …
[HTML][HTML] Improving the Cosine Consistency Index for the analytic hierarchy process for solving multi-criteria decision making problems
G Khatwani, AK Kar - Applied computing and informatics, 2017 - Elsevier
Abstract Analytic Hierarchy Process (AHP) is one of the popular decision support systems for
multi-criteria decision making problems. The AHP has different theories for prioritization …
multi-criteria decision making problems. The AHP has different theories for prioritization …
A multi-level semantic scene interpretation strategy for change interpretation in remote sensing imagery
Remotely sensed images represent an important source of information for monitoring land
changes that may occur. There is, therefore, a need to analyze and interpret such …
changes that may occur. There is, therefore, a need to analyze and interpret such …
A survey of modelling trends in temporal GIS
The main achievements of spatio-temporal modelling in the field of Geographic Information
Science that spans the past three decades are surveyed. This article offers an overview of:(i) …
Science that spans the past three decades are surveyed. This article offers an overview of:(i) …
Theseus: A framework for managing knowledge graphs about geographical divisions and their evolution
This article presents the Theseus Framework designed for the automatic creation of
knowledge graphs (KGs) that describe the evolution of geographical divisions (GD) over …
knowledge graphs (KGs) that describe the evolution of geographical divisions (GD) over …