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Hyper-optimized Machine Learning and Deep Learning Methods For Geo-spatial and Temporal Function Estimation
(2018-08-13)
Owing to a high degree of freedom in human mobility, accurate modelling/estimation of human mobility function remains a challenge. Numerous work in the literature have tried to address the challenge using various traditional ...
Performance Comparison Of Spatial Indexing Structures For Different Query Types
R-Trees are among the most popular multidimensional access methods suitable for indexing two dimensional spatial data and point data. R-Trees are found in most of the spatial database systems for indexing the spatial data. ...