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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Building 5G Fingerprint Datasets for Accurate Indoor Positioning
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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Simulation of NR-V2X in a 5G Environment using OMNeT++
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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Two-stage clustering for improved indoor positioning accuracy
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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A Self-Organizing Map Artificial Neural Network to Improve the K-Means Algorithm on the Classification of Different Cancers
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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A Novel SFDN+ DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals
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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Group matching method for search-space reduction, development, proof, and comparison
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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An enhanced group matching method with transformed fingerprints, similarity filtering, and adaptive selection for indoor localization
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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A dual-mode framework for indoor localization via temporal learning and knowledge distillation
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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A prior-probability-driven structured attention network for indoor localization
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.
Exploring sampling parameters and localization performance in a multi-layer, multi-structure 5G environment
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.
Query-Adaptive Local Regression for High-Dimensional Spectral Analysis
Published in Chemometrics and Intelligent Laboratory Systems, 2026
Query-adaptive regression for high-dimensional spectral analysis under p > n conditions.
Recommended citation: Li, S., Lin, H., & Peng, W. (2026). Query-Adaptive Local Regression for High Dimensional Spectral Analysis. Chemometrics and Intelligent Laboratory Systems, 105800.
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