Hamza Djelouat

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Compressive Sensing

Activity Detection

Hardware Implementation

Channel Estimation

Top Venues

IEEE Trans. Wirel. Commun.

iThings/GreenCom/CPSCom/SmartData

Publications

Leatile Marata, Onel Luis Alcaraz López, Andreas Hauptmann, Hamza Djelouat, Hirley Alves
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Hamza Djelouat, Markus Leinonen, Markku J. Juntti
Joint Estimation of Clustered user Activity and Correlated Channels with Unknown Covariance in mMTC. ICASSP (2023)
Leatile Marata, Onel Luis Alcaraz López, Hamza Djelouat, Markus Leinonen, Hirley Alves, Markku J. Juntti
Joint Coherent and Non-Coherent Detection and Decoding Techniques for Heterogeneous Networks. IEEE Trans. Wirel. Commun. 22 (3) (2023)
Hamza Djelouat, Markku J. Juntti, Mikko J. Sillanpää
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern. ACSSC (2023)
Hamza Djelouat, Markus Leinonen, Markku J. Juntti
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC. IEEE Trans. Wirel. Commun. 21 (8) (2022)
Ayman Al-Kababji, Abbes Amira, Faycal Bensaali, Abdulah Jarouf, Lisan Shidqi, Hamza Djelouat
An IoT-Based Framework for Remote Fall Monitoring. CoRR (2021)
Mara Nikolaidou, Christos Kotronis, Ioannis Routis, Elena Politi, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Hamza Djelouat, Abbes Amira, Faycal Bensaali
Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study. Health Informatics J. 27 (1) (2021)
Hamza Djelouat, Markus Leinonen, Lucas Ribeiro, Markku J. Juntti
Joint User Identification and Channel Estimation via Exploiting Spatial Channel Covariance in mMTC. IEEE Wirel. Commun. Lett. 10 (4) (2021)
Hamza Djelouat, Markus Leinonen, Markku J. Juntti
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC. ICASSP (2021)
Hamza Djelouat, Leatile Marata, Markus Leinonen, Hirley Alves, Markku J. Juntti
User Activity Detection and Channel Estimation of Spatially Correlated Channels via AMP in Massive MTC. ACSCC (2021)
Ayman Al-Kababji, Abbes Amira, Faycal Bensaali, Abdulah Jarouf, Lisan Shidqi, Hamza Djelouat
An IoT-based framework for remote fall monitoring. Biomed. Signal Process. Control. 67 (2021)
Lucas Ribeiro, Markus Leinonen, Hamza Djelouat, Markku J. Juntti
Channel Charting for Pilot Reuse in mMTC with Spatially Correlated MIMO Channels. GLOBECOM (Workshops) (2020)
Hamza Djelouat, Abbes Amira, Faycal Bensaali, Issam Boukhennoufa
Secure compressive sensing for ECG monitoring. Comput. Secur. 88 (2020)
Hamza Djelouat, Mohammed Al Disi, Issam Boukhennoufa, Abbes Amira, Faycal Bensaali, Christos Kotronis, Elena Politis, Mara Nikolaidou, George Dimitrakopoulos
Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device. Microprocess. Microsystems 72 (2020)
Christos Kotronis, Ioannis Routis, Elena Politis, Mara Nikolaidou, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Abbes Amira, Faycal Bensaali, Hamza Djelouat
Evaluating Internet of Medical Things (IoMT)-Based Systems from a Human-Centric Perspective. Internet Things 8 (2019)
Hamza Djelouat, Abbes Amira, Faycal Bensaali
Compressive Sensing-Based IoT Applications: A Review. J. Sens. Actuator Networks 7 (4) (2018)
Hamza Baali, Xiaojun Zhai, Hamza Djelouat, Abbes Amira, Faycal Bensaali
Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation. IEEE Access 6 (2018)
Mohammed Al Disi, Hamza Djelouat, Abbes Amira, Faycal Bensaali
The Accuracy and Efficacy of Real-Time Compressed ECG Signal Reconstruction on a Heterogeneous Multicore Edge-Device. DSD (2018)
Hamza Djelouat, Mohammed Al Disi, Abbes Amira, Faycal Bensaali, Xiaojun Zhai
Compressive Sensing Based ECG Biometric System. IntelliSys (2) (2018)
Mohammed Al Disi, Hamza Djelouat, Christos Kotronis, Elena Politis, Abbes Amira, Faycal Bensaali, George Dimitrakopoulos, Guillaume Alinier
ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints. IEEE Access 6 (2018)
Mohammed Al Disi, Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Chris Kontronis, George Dimitrakopoulos, Guillaume Alinier
An Efficient Compressive Sensing Method for Connected Health Applications. IntelliSys (2) (2018)
Christos Kotronis, G. Minou, George Dimitrakopoulos, Mara Nikolaidou, Dimosthenis Anagnostopoulos, Abbes Amira, Faycal Bensaali, Hamza Baali, Hamza Djelouat
Managing Criticalities of e-Health IoT systems. ICUWB (2017)
Amine Ait Si Ali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Mohieddine Benammar, Amine Bermak
Electronic nose system on the Zynq SoC platform. Microprocess. Microsystems 53 (2017)
Hamza Djelouat, Amine Ait Si Ali, Abbes Amira, Faycal Bensaali
Compressive sensing based electronic nose platform. Digit. Signal Process. 60 (2017)
Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Xiaojun Zhai
QRS Complexes Classification Using Dictionary Learning and Pietra Index. iThings/GreenCom/CPSCom/SmartData (2017)
Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali
Joint sparsity recovery for compressive sensing based EEG system. ICUWB (2017)
Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Xiaojun Zhai
Efficient hardware implementation of the l1 - Regularized least squares for IoT edge computing. ICUWB (2017)
Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System. Wirel. Commun. Mob. Comput. 2017 (2017)
Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali
IoT Based Compressive Sensing for ECG Monitoring. iThings/GreenCom/CPSCom/SmartData (2017)
Muhammad Ali Akbar, Hamza Djelouat, Amine Ait Si Ali, Abbes Amira, Faycal Bensaali, Mohieddine Benammar, Amine Bermak
Design and Performance Evaluation of a Committee Machine for Gas Identification. IntelliSys (2) (2016)