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Hassan El Alami
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2020 – today
- 2024
- [c13]Hassan El Alami, Danda B. Rawat:
DroneDefGANt: A Generative AI-Based Approach for Detecting UAS Attacks and Faults. ICC 2024: 1933-1938 - [c12]Hassan El Alami, Danda B. Rawat:
A Novel Neural Networks-based Framework for APT Detection in Networked Autonomous Systems. ICCCN 2024: 1-6 - [i3]Danda B. Rawat, Hassan El Alami, Desta Haileselassie Hagos:
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. CoRR abs/2405.04718 (2024) - [i2]Hassan El Alami, Danda B. Rawat:
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications. CoRR abs/2409.02270 (2024) - 2023
- [j8]Danda B. Rawat, Hassan El Alami:
Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives. IEEE Internet Things Mag. 6(1): 14-18 (2023) - [c11]Hassan El Alami, Danda B. Rawat:
Detection of Zero-Day Attacks using CNN and LSTM in Networked Autonomous Systems 'IEEE CNS 23 Poster'. CNS 2023: 1-2 - [c10]Hassan El Alami, Neji Mensi, Danda B. Rawat:
On the Study of Joint Naive Bayes and Multi-Layer Perception for Detecting GPS Jamming in U AS. GLOBECOM 2023: 443-448 - [c9]Neji Mensi, Hassan El Alami, Danda B. Rawat:
Energy-Aware Lightweight PLKG in IMDs: A Deep Dive into the Effects of Channel Fading Models. GLOBECOM 2023: 5013-5018 - [c8]Hassan El Alami, Kendal Hall, Danda B. Rawat:
Comparative Study of Machine Learning Techniques for Detecting GPS Spoofing Attacks on Mission Critical Military IoT Devices. ICC Workshops 2023: 512-517 - [i1]Danda B. Rawat, Hassan El Alami:
Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives. CoRR abs/2302.01125 (2023) - 2022
- [c7]Ghilas Aissou, Selma Benouadah, Hassan El Alami, Naima Kaabouch:
Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS. CCWC 2022: 208-214 - [c6]Farah Chahlaoui, Hamza Dahmouni, Hassan El Alami:
Multipath-routing based load-balancing in SDN networks. CIoT 2022: 180-185 - [c5]Imad Hajjaji, Hassan El Alami, Rafiq El Alami, Hamza Dahmouni:
Energy Consumption Characterization in University Campus Microgrid Based on Power Data Analysis. FiCloud 2022: 107-112 - [d1]Ghilas Aissou
, Selma Benouadah
A DATASET for GPS Spoofing Detection on Autonomous Vehicles. IEEE DataPort, 2022 - 2021
- [j7]Sidna Jeddou, Amine Baïna, Najid Abdallah, Hassan El Alami:
Power Consumption prediction of IoT application Protocols Based on Linear Regression. Int. J. Artif. Intell. Mach. Learn. 11(2): 0 (2021) - [c4]Imad Hajjaji, Hassan El Alami
Evaluation of Artificial Intelligence Algorithms for Predicting Power Consumption in University Campus Microgrid. IWCMC 2021: 2121-2126 - 2020
- [j6]Nezha El Idrissi
New Routing Technique to Enhance Energy Efficiency and Maximize Lifetime of the Network in WSNs. Int. J. Wirel. Networks Broadband Technol. 9(2): 81-93 (2020) - [c3]Sidna Jeddou, Amine Baïna, Abdallah Najid, Hassan El Alami
Analysis and evaluation of communication Protocols for IoT Applications. SITA 2020: 42:1-42:6
2010 – 2019
- 2019
- [j5]Hassan El Alami
ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks. IEEE Access 7: 107142-107153 (2019) - 2018
- [j4]Hassan El Alami
MS-routing-G i : routing technique to minimise energy consumption and packet loss in WSNs with mobile sink. IET Networks 7(6): 422-428 (2018) - [j3]Hassan El Alami
EEA: Clustering Algorithm for Energy-Efficient Adaptive in Wireless Sensor Networks. Int. J. Wirel. Networks Broadband Technol. 7(2): 19-37 (2018) - 2017
- [j2]Hassan El Alami
Routing-Gi: routing technique to enhance energy efficiency in WSNs. Int. J. Ad Hoc Ubiquitous Comput. 25(4): 241-251 (2017) - [j1]Hassan El Alami
Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks. Int. J. Fuzzy Syst. Appl. 6(4): 63-82 (2017) - 2016
- [c2]Hassan El Alami
A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks. AECIA 2016: 68-76 - 2015
- [c1]Hassan El Alami
CFFL: Cluster formation using fuzzy logic for wireless sensor networks. AICCSA 2015: 1-6
Coauthor Index
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last updated on 2024-10-07 01:26 CEST by the dblp team
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