Published in Traitement du Signal, 2026
Study of sampling parameters and localization performance in 5G environments. Under review.
Recommended citation: Lin, H., Li, S., Peng, W., & Purmehdi, H. Under review.
Published in Neural Computing and Applications, 2026
Structured attention network for indoor localization. Under review.
Recommended citation: Lin, H., Li, S., & Peng, W. Under review.
Published in Ad Hoc Networks, 2026
A dual-mode indoor localization framework using temporal learning and knowledge distillation.
Recommended citation: Lin, H., Chen, Y., Li, S., & Peng, W. (2026). Ad Hoc Networks.
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Published in Internet of Things, 2026
Indoor localization method combining transformed fingerprints, similarity filtering, and adaptive selection.
Recommended citation: Lin, H., Li, S., Peng, W., & Peng, A. (2026). Internet of Things.
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Published in Expert Systems with Applications, 2025
A group matching method for reducing search space in signal-based indoor localization.
Recommended citation: Lin, H., Li, S., & Peng, W. (2025). Expert Systems with Applications.
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Published in Automation in Construction, 2023
Two-stage clustering approach for improving indoor positioning accuracy.
Recommended citation: Lin, H., Purmehdi, H., Fei, X., Zhao, Y., Isac, A., Louafi, H., & Peng, W. (2023). Automation in Construction.
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Published in Engineering Proceedings, 2024
Conference paper on deep learning for hand movement recognition from surface EMG signals.
Recommended citation: Khorram, A., Lin, H., & Peng, W. (2024). Engineering Proceedings.
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Published in Engineering Proceedings, 2024
Conference paper on using SOM neural networks to improve K-Means cancer classification.
Recommended citation: Nakhaeepishkesh, M., Peng, W., & Lin, H. (2024). Engineering Proceedings.
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Published in IEEE Future Networks World Forum, 2022
Conference paper on NR-V2X simulation in a 5G environment using OMNeT++.
Recommended citation: Pusapati, S., Selim, B., Nie, Y., Lin, H., & Peng, W. (2022). IEEE Future Networks World Forum.
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Published in IEEE Future Networks World Forum, 2022
Conference paper on building 5G fingerprint datasets for accurate indoor positioning.
Recommended citation: Lin, H., Purmehdi, H., Zhao, Y., & Peng, W. (2022). IEEE Future Networks World Forum.
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