Daniel AlShamaa

According to our database, Daniel AlShamaa authored at least 16 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir

IEEE Trans. Aerosp. Electron. Syst., 2020

An Evidential Framework for Localization of Sensors in Indoor Environments.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir

Sensors, 2020

Statistical learning for sensor localization in wireless networks.

Daniel AlShamaa, Farah Chehade, Paul Honeine

CoRR, 2020

2019

Measurement of Gait Speed using a Doppler Radar: Influence of Acceleration and Deceleration Zones.

Daniel AlShamaa, Aly Chkeir, Racha Soubra, Farah Mourad-Chehade

Proceedings of the IEEE Sensors Applications Symposium, 2019

A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People.

Daniel AlShamaa, Aly Chkeir, Farah Mourad-Chehade, Paul Honeine

Proceedings of the IEEE Sensors Applications Symposium, 2019

Target Localization using Machine Learning and Belief Functions: Application for Elderly People in Indoor Environments.

Daniel AlShamaa, Aly Chkeir, Farah Mourad-Chehade

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Doppler Radar System for In-Home Gait Characterization using Wavelet Transform Analysis.

Racha Soubra, Aly Chkeir, Farah Mourad-Chehade, Daniel AlShamaa

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Gait Speed Measurement using a Doppler Radar Sensor for In-Home Functional Capacity Tests.

Daniel AlShamaa, Aly Chkeir, Racha Soubra

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Indoor Localization of Sensors: Application to Dependent Elderly People. (Localisation indoor des capteurs : applications pour des personnes âgées dépendantes).

Daniel AlShamaa

PhD thesis, 2018

A hierarchical classification method using belief functions.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Signal Process., 2018

A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the 26th European Signal Processing Conference, 2018

The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the Belief Functions: Theory and Applications, 2018

2016

Zoning-based localization in indoor sensor networks using belief functions theory.

Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016