Transfer learning approach for human activity recognition based on continuous wavelet transform

O Pavliuk, M Mishchuk, C Strauss - Algorithms, 2023‏ - mdpi.com
Over the last few years, human activity recognition (HAR) has drawn increasing interest from
the scientific community. This attention is mainly attributable to the proliferation of wearable …

Machine Learning-Based Direct Source Localization for Passive Movement-Driven Virtual Large Array

SL Shih, CK Wen, C Yuen, S ** - IEEE Transactions on …, 2025‏ - ieeexplore.ieee.org
This paper introduces a novel smartphone-enabled localization technology for ambient
Internet of Things (IoT) devices, leveraging the widespread use of smartphones. By utilizing …

M2-Net: Multi-Task Learning-Based Multi-Band Signal Recognition Network

X Zhang, P Wang, Y Ma, J Jiao, S Wu… - IEEE Internet of Things …, 2025‏ - ieeexplore.ieee.org
Traditional signal recognition requires the design of multiple different deep neural networks
to handle different signal recognition tasks, which not only fails to take into account the …

Regularized Multi-Label Learning Empowered Joint Activity Recognition and Indoor Localization With CSI Fingerprints

Y Wang, H Zhao, T Ohtsuki, H Sari… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Contactless Wi-Fi sensing, using channel state information (CSI) fingerprints, plays a pivotal
role in communication, smart healthcare, and industrial automation. Deep learning has …

Proactive Crowdsourced Monitoring and Sensing With Expansible Activity Recognition Based on Internet of Things Localization

LW Chen, CW Liao, JX Liu - IEEE Internet of Things Journal, 2025‏ - ieeexplore.ieee.org
This paper proposes a Proactive Crowdsourced Monitoring and Sensing (PCMS) framework
with the designed Smart iBeacon device to accurately recognize the activities of an …

[HTML][HTML] PA Scheme: A Robust and Lightweight Wi-Fi Device Identification Approach for Enhancing Industrial Security

Z Xu, Q Lu, F Chen, H Zhang, H **an - Electronics, 2025‏ - mdpi.com
The increasing dependence on Wi-Fi for device-to-device communication in industrial
environments has introduced significant security and privacy challenges. In such wireless …

Ứng dụng mạng neural nhân tạo–mô hình DenseNet trong dự đoán đặc tính điện tử của vật liệu

HT Hoàng, ĐTH Nhạn, NT Tiên - Tạp chí Khoa học Đại học Cần …, 2024‏ - ctujsvn.ctu.edu.vn
In this study, we present a workflow for data-driven materials science discovery using a
machine learning (ML) algorithm-an artificial neural network (ANN). The focus is on …