[PDF][PDF] Ontological model to predict user mobility

A Zaguia, R Alroobaea - International Journal of Advanced …, 2019 - researchgate.net
With the remarkable technological evolution of mobile devices, the use of computing
resources has become possible at any time and independent of the geographical position of …

Mobility prediction based on collective movement behaviors in public WLANs

TVT Duong, DQ Tran - 2015 Science and Information …, 2015 - ieeexplore.ieee.org
Predicting the location of a mobile user in public WLANs such as city or campus WLANs has
received increasing interest over the past decade. Public WLAN enable mobile users use …

Interactive diorama: A virtual reality (VR) reconstruction of the anatomy lesson of doctor Nicolaes Tulp by Rembrandt, 1632

L Díaz-Kommonen - … on Mixed and Augmented Reality (ISMAR …, 2017 - ieeexplore.ieee.org
This document describes some aspects of a design and research project undertaken during
the years 2013-2017 by the Systems of Representation research group in the Department of …

Utilizing massive spatiotemporal samples for efficient and accurate trajectory prediction

A Chan, FWB Li - IEEE Transactions on Mobile Computing, 2012 - ieeexplore.ieee.org
Trajectory prediction is widespread in mobile computing, and helps support wireless
network operation, location-based services, and applications in pervasive computing …

[图书][B] Machine learning in pervasive computing

S Idowu, C Åhlund, O Schelén, R Brännström - 2013 - diva-portal.org
Increase in data quantities and number of pervasive systems has resulted in many decision-
making systems. Most of these systems employ Machine Learning (ML) in various practical …

Proactive serving decreases user delay exponentially

S Zhang, L Huang, M Chen, X Liu - ACM SIGMETRICS Performance …, 2015 - dl.acm.org
In online service systems, the delay experienced by a user from the service request to the
service completion is one of the most critical performance metrics. To improve user delay …

Context aware and pattern oriented machine learning framework (CAPOMF) for Android

R Ravindran, R Suchdev, Y Tanna… - … on Advances in …, 2014 - ieeexplore.ieee.org
Context-aware computing refers to a very peculiar kind of application that can sense the
physical environment and behave accordingly. This feature of context awareness can be …

Smart indoor localization using machine learning techniques

VA Ugave - 2014 - search.proquest.com
The advancement of smartphone devices has led to a generation of new applications and
solutions. These devices give away a great deal of information about the user (location …

[PDF][PDF] A survey to location-based context prediction

C Voigtmann, K David - First Workshop on recent advances in …, 2012 - ibr.cs.tu-bs.de
In recent years, beginning with the Neural Network Home Project, several approaches
addressing context prediction have been published. This paper gives an overview of the …

Optimization of 5G virtual-cell based coordinated multipoint networks using deep machine learning

M Elkourdi, A Mazin, RD Gitlin - International Journal of Wireless & …, 2018 - papers.ssrn.com
Providing seamless mobility and a uniform user experience, independent of location, is an
important challenge for 5G wireless networks. The combination of Coordinated Multipoint …