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Despite the development of various deep learning methods for Wi-Fi sensing, package loss often results in noncontinuous estimation of the Channel State Information (CSI), which negatively impacts the performance of the learning models.
T. Eiter and H. Mannila, “Computing discrete Fréchet distance,” 1994
1994
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural computation
1997
Earlier work this paper cites.
L. R. Medsker and L. Jain, “Recurrent neural networks,” Design and Applications
2001
Earlier work this paper cites.
H. Abdelnasser, M. Youssef, and K. A. Harras, “WiGest: A ubiquitous WiFi-based gesture recognition system,” in 2015 IEEE conference on computer communications (INFOCOM)
2015
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. March, and V. Lempitsky, “Domain-adversarial training of neural networks,” Journal of machine learning research
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems
2017
Cited alongside, same era.
2018
Cited alongside, same era.
2019
Cited alongside, same era.
H. Wong and T. Luo, “Man-in-the-middle attacks on MQTT-based IoT using BERT based adversarial message generation,” in KDD 2020 AIoT Workshop
2020
Cited alongside, same era.
B. Guo, W. Zuo, S. Wang, W. Lyu, Z. Hong, Y. Ding, T. He, and D. Zhang, “WEPOS: Weak-supervised indoor positioning with unlabeled Wi-Fi for on-demand delivery,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
2022
Later among the works it cites.
G. Zhu, Z. Lyu, X. Jiao, P. Liu, M. Chen, J. Xu, S. Cui, and P. Zhang, “Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G,” Science China Information Sciences
2023
Later among the works it cites.
D. Wen, P. Liu, G. Zhu, Y. Shi, J. Xu, Y. C. Eldar, and S. Cui, “Task-oriented sensing, computation, and communication integration for multi-device edge AI,” IEEE Transactions on Wireless Communications
2023
Later among the works it cites.
X. Li, F. Liu, Z. Zhou, G. Zhu, S. Wang, K. Huang, and Y. Gong, “Integrated sensing, communication, and computation over-the-air: MIMO beamforming design,” IEEE Transactions on Wireless Communications
2023
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2020
Cited alongside, same era.
X. Sun, H. Ai, J. Tao, T. Hu, and Y. Cheng, “BERT-ADLOC: A secure crowdsourced indoor localization system based on BLE fingerprints,” Applied Soft Computing
2021
Cited alongside, same era.
P. Liu, G. Zhu, S. Wang, W. Jiang, W. Luo, H. V. Poor, and S. Cui, “Toward ambient intelligence: Federated edge learning with task-oriented sensing, computation, and communication integration,” IEEE Journal of Selected Topics in Signal Processing
2022
Cited alongside, same era.
Later among the works it cites.
Q. Zhang, H. Zhu, P. Wang, E. Chen, and H. Xiong, “Hierarchical Wi-Fi trajectory embedding for indoor user mobility pattern analysis,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
2023
Later among the works it cites.
Z. Wang, Q. Kong, B. Wei, L. Zhang, and A. Tian, “Radio map construction based on BERT for fingerprint-based indoor positioning system,” EURASIP Journal on Wireless Communications and Networking
2023
Later among the works it cites.