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Wafa Njima
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2020 – today
- 2024
- [c10]Celine Serbouh, Wafa Njima, Iness Ahriz:
Generative Adversarial Networks based Data Recovery for Indoor Localization. WCNC 2024: 1-6 - [i2]Yaya Etiabi, Wafa Njima, El Mehdi Amhoud:
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks. CoRR abs/2405.11079 (2024) - 2023
- [c9]Idowu Ajayi, Wafa Njima:
Radar Interference Mitigation Using CNN Autoencoders with Spatial Attention. ISWCS 2023: 1-6 - [c8]Yaya Etiabi, Wafa Njima, El Mehdi Amhoud:
Federated Learning based Hierarchical 3D Indoor Localization. WCNC 2023: 1-6 - [i1]Yaya Etiabi, Wafa Njima, El Mehdi Amhoud:
Federated Learning based Hierarchical 3D Indoor Localization. CoRR abs/2303.00450 (2023) - 2022
- [j4]Wafa Njima, Ahmad Bazzi, Marwa Chafii:
DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning. IEEE Access 10: 69896-69909 (2022) - [c7]Celine Serbouh, Iness Ahriz, Wafa Njima, Amina Lammari:
Cluster based Indoor Localization for Energy Consumption Enhancement. FiCloud 2022: 277-281 - [c6]Hongxiu Zhao, Wafa Njima, Xun Zhang, Faouzi Bader:
High Resolution Visible-Light Localization in Industrial Dynamic Environment: A Robustness Approach based on the PSO Algorithm. IPIN 2022: 1-8 - 2021
- [j3]Wafa Njima, Marwa Chafii, Arsenia Chorti, Raed M. Shubair, H. Vincent Poor:
Indoor Localization Using Data Augmentation via Selective Generative Adversarial Networks. IEEE Access 9: 98337-98347 (2021) - [c5]Wafa Njima, Marwa Chafii, Ahmad Nimr, Gerhard P. Fettweis:
Convolutional Neural Networks based Denoising for Indoor Localization. VTC Spring 2021: 1-6 - 2020
- [j2]Wafa Njima, Marwa Chafii, Ahmad Nimr, Gerhard P. Fettweis:
Deep Learning Based Data Recovery for Localization. IEEE Access 8: 175741-175752 (2020) - [c4]Iness Ahriz, Michel Terré, Wafa Njima:
Autoencoder Matrix Completion Based Indoor Localization. ACSSC 2020: 1323-1326
2010 – 2019
- 2019
- [b1]Wafa Njima:
Méthodes de localisation de capteurs dans le contexte de l'Internet des Objets. (Sensor localization methods in the context of the Internet of Things). Conservatoire national des arts et métiers, Paris, France, 2019 - [j1]Wafa Njima, Iness Ahriz, Rafik Zayani, Michel Terré, Ridha Bouallegue:
Deep CNN for Indoor Localization in IoT-Sensor Systems. Sensors 19(14): 3127 (2019) - [c3]Wafa Njima, Michel Terré, Iness Ahriz, Rafik Zayani, Ridha Bouallegue:
Localization by inversion of the Taylor Expansion of the received power. PIMRC 2019: 1-6 - 2017
- [c2]Wafa Njima, Iness Ahriz, Rafik Zayani, Michel Terré, Ridha Bouallegue:
Smart probabilistic approach with RSSI fingerprinting for indoor localization. SoftCOM 2017: 1-6 - [c1]Wafa Njima, Iness Ahriz, Rafik Zayani, Michel Terré, Ridha Bouallegue:
Comparison of similarity approaches for indoor localization. WiMob 2017: 349-354
Coauthor Index
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last updated on 2024-09-05 23:44 CEST by the dblp team
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