Significant Location Detection & Prediction in Cellular Networks using Artificial Neural Networks

@article{Leca2015SignificantLD,
  title={Significant Location Detection & Prediction in Cellular Networks using Artificial Neural Networks},
  author={Cristian-Liviu Leca and I. Nicolaescu and Cristian-Iulian R{\^i}ncu},
  journal={Computer Science and Information Technology},
  year={2015},
  volume={3},
  pages={81-89}
}
Location services and applications, based on network data or global positioning systems, are greatly influencing and changing the way people use mobile phone networks by improving not only user-applications but also the network management part. These applications and services can be further developed by introducing location prediction. We design a system that logs cell id and timestamp data from the users' mobile device, detects the significance of the location to the user, such as home and… Expand
7 Citations
Recent advances in location prediction methods for cellular communication networks
  • 3
STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location
  • 21
  • PDF
Trajectory Prediction Based on Machine Learning
Characteristics of crowdsourcing for outdoor radio fingerprinting positioning
  • 3

References

SHOWING 1-10 OF 20 REFERENCES
Location Prediction of Mobility Management Using Soft Computing Techniques in Cellular Network
  • 9
  • PDF
Predicting future locations with hidden Markov models
  • 252
  • PDF
Location prediction and mobility modelling for enhanced localization solution
  • 22
Location Prediction of Vehicles in VANETs Using A Kalman Filter
  • 42
Predicting a user's next cell with supervised learning based on channel states
  • 37
  • PDF
Next Place Prediction using Mobile Data
  • 32
  • PDF
A Location Prediction Algorithm for Mobile Communications Using Directional Antennas
  • 5
  • PDF
...
1
2
...