Mobility prediction based on machine learning

T Anagnostopoulos, C Anagnostopoulos… - 2011 IEEE 12th …, 2011 - ieeexplore.ieee.org
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …

Mobility Prediction Based on Machine Learning

T Anagnostopoulos, C Anagnostopoulos… - 2011 IEEE 12th …, 2011 - computer.org
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …

Mobility Prediction Based on Machine Learning

T Anagnostopoulos, C Anagnostopoulos… - 2011 - eprints.gla.ac.uk
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …

[PDF][PDF] Mobility Prediction based on Machine Learning

T Anagnostopoulos, C Anagnostopoulos… - researchgate.net
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …

[PDF][PDF] Mobility Prediction based on Machine Learning

T Anagnostopoulos, C Anagnostopoulos… - academia.edu
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …

Mobility Prediction Based on Machine Learning

T Anagnostopoulos, C Anagnostopoulos… - Proceedings of the …, 2011 - dl.acm.org
Mobile applications are required to operate in highly dynamic pervasive computing
environments of dynamic nature and predict the location of mobile users in order to act …