Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...
This paper presents TiNA, a scheme for minimizing energy consumption in sensor networks by exploiting end-user tolerance to temporal coherency. TiNA utilizes temporal coherency to...
Mohamed A. Sharaf, Jonathan Beaver, Alexandros Lab...
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
This work tackles the problem of answer-aggregation for continuous spatio-temporal range queries in distributed settings. We assume a grid-like coverage of the spatial universe of...
Goce Trajcevski, Hui Ding, Peter Scheuermann, Isab...
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...