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Aymen Hamrouni
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2020 – today
- 2023
- [j7]Aymen Hamrouni, Hakim Ghazzai, Hamid Menouar, Yehia Massoud:
Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges. IEEE Internet Things Mag. 6(4): 74-80 (2023) - [c7]Aymen Hamrouni, Raby Hamadi, Hakim Ghazzai, Yehia Massoud:
Real-time Video Frame De-raining using Disentangled Generative Models. SM 2023: 116-120 - [c6]Yuqi Zuo, Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud:
V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring. SM 2023: 154-159 - 2022
- [j6]Aymen Hamrouni, Abdullah Khanfor, Hakim Ghazzai, Yehia Massoud:
Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects. IEEE Access 10: 107330-107345 (2022) - [j5]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Low-Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks. IEEE Internet Things J. 9(1): 813-829 (2022) - [c5]Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud:
Multi-modal Asymmetric Autoencoders for Massive Photo Collection Applications. APCCAS 2022: 50-54 - [c4]Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud:
Service Discovery in Social Internet of Things using Graph Neural Networks. MWSCAS 2022: 1-4 - [i7]Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud:
Service Discovery in Social Internet of Things using Graph Neural Networks. CoRR abs/2205.12711 (2022) - 2021
- [j4]Hassana Ganame, Yingzhuang Liu, Aymen Hamrouni, Hakim Ghazzai, Hua Chen:
Evolutionary Algorithms for 5G Multi-Tier Radio Access Network Planning. IEEE Access 9: 30386-30403 (2021) - [j3]Aymen Hamrouni, Turki Alelyani, Hakim Ghazzai, Yehia Massoud:
Toward Collaborative Mobile Crowdsourcing. IEEE Internet Things Mag. 4(2): 88-94 (2021) - [i6]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Towards Collaborative Mobile Crowdsourcing. CoRR abs/2104.05626 (2021) - [i5]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks. CoRR abs/2106.00717 (2021) - 2020
- [j2]Aymen Hamrouni, Hakim Ghazzai, Yehia Massoud:
Many-to-Many Recruitment and Scheduling in Spatial Mobile Crowdsourcing. IEEE Access 8: 48707-48719 (2020) - [j1]Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha, Yehia Massoud:
A Spatial Mobile Crowdsourcing Framework for Event Reporting. IEEE Trans. Comput. Soc. Syst. 7(2): 477-491 (2020) - [c3]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
An Evolutionary Algorithm for Collaborative Mobile Crowdsourcing Recruitment in Socially Connected IoT Systems. GCAIoT 2020: 1-6 - [i4]Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai, Ye Yang, Yehia Massoud:
A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT. CoRR abs/2004.08751 (2020) - [i3]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems. CoRR abs/2004.11512 (2020) - [i2]Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha, Yehia Massoud:
A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting. CoRR abs/2004.13251 (2020) - [i1]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing. CoRR abs/2004.13881 (2020)
2010 – 2019
- 2019
- [c2]Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing. ICM 2019: 66-69 - [c1]Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha, Yehia Massoud:
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting. MWSCAS 2019: 198-202
Coauthor Index
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