[HTML][HTML] Construction 4.0 in a narrow and broad sense: a systematic and comprehensive literature review

J van der Heijden - Building and Environment, 2023 - Elsevier
This article presents a systematic review that assesses the implication of Construction 4.0
from both a narrow perspective centred on technology adaptation, and a broader …

[HTML][HTML] Advancements in TinyML: Applications, Limitations, and Impact on IoT Devices

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2024 - mdpi.com
Artificial Intelligence (AI) and Machine Learning (ML) have experienced rapid growth in both
industry and academia. However, the current ML and AI models demand significant …

Joint optimization risk factor and energy consumption in IoT networks with TinyML-enabled internet of UAVs

R Liu, M **e, A Liu, H Song - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
The high mobility of Internet unmanned aerial vehicles (IUAVs) has attracted attention in the
field of data collection. With the rapid development of the Internet of Things (IoT), more and …

[HTML][HTML] An evaluation methodology to determine the actual limitations of a tinyml-based solution

G Delnevo, S Mirri, C Prandi, P Manzoni - Internet of Things, 2023 - Elsevier
Abstract Tiny Machine Learning (TinyML) is an expanding research area based on pushing
intelligence to the edge and bringing machine learning techniques to very small devices and …

LOPdM: A Low-power On-device Predictive Maintenance System Based on Self-powered Sensing and TinyML

Z Chen, Y Gao, J Liang - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Predictive maintenance (PdM) has emerged as a prominent strategy that can recognize the
current state and predict the future trend of machines. It helps prevent disastrous …

Leveraging acoustic emission and machine learning for concrete materials damage classification on embedded devices

Y Zhang, V Adin, S Bader… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For the field of structural health monitoring (SHM), acoustic emission (AE) technology is
important as a damage identification technique that does not cause secondary damage to …

[HTML][HTML] Indoor positioning systems in industry 4.0 applications: Current status, opportunities, and future trends

P Li, W Wu, Z Zhao, GQ Huang - Digital Engineering, 2024 - Elsevier
In the context of Industry 4.0, the precise location information of resources is fundamental for
orchestrating myriad operations and processes. In outdoor environments, the Global …

TinyML algorithms for Big Data Management in large-scale IoT systems

A Karras, A Giannaros, C Karras, L Theodorakopoulos… - Future Internet, 2024 - mdpi.com
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data,
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …

A 100-to-10-kHz 5.4-to-216-μW power-efficient readout circuit employing closed-loop dynamic amplifier for MEMS capacitive accelerometer

L Zhong, S Liu, P Shang, W Cao… - IEEE Journal of Solid …, 2023 - ieeexplore.ieee.org
Micro-electromechanical systems (MEMS) capacitive accelerometer for the Internet of
Things (IoT) applications is required to operate at various sampling frequencies while …

[HTML][HTML] High-Altitude-UAV-Relayed Satellite D2D Communications for 6G IoT Network

J Wang, T Hong, F Qi, L Liu, X He - Drones, 2024 - mdpi.com
High-altitude UAVs (HA-UAVs) have emerged as vital components in 6G communication
infrastructures, providing stable relays for telecommunications services above terrestrial and …