Empowering Extreme Communication: Propagation Characterization of a LoRa-Based Internet of Things Network Using Hybrid Machine Learning

IAH Alobaidy, NF Abdullah, R Nordin… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) has led to the emergence of Low Power Wide
Area Networks (LPWANs) to connect devices in a smart future world. However, challenges …

[HTML][HTML] Enhanced Long-Range Network Performance of an Oil Pipeline Monitoring System Using a Hybrid Deep Extreme Learning Machine Model

A Kubba, H Trabelsi, F Derbel - Future Internet, 2024 - mdpi.com
Leak detection in oil and gas pipeline networks is a climacteric and frequent issue in the oil
and gas field. Many establishments have long depended on stationary hardware or …

LoRaWAN Optimization for Voltage Monitoring

D Kim, A Turlikov, G Georgiev, T Dedova - IEEE Access, 2024 - ieeexplore.ieee.org
This study examines the challenges encountered when using wireless technologies based
on random multiple access for voltage monitoring in low voltage (LV) electrical grids. The …

AI-Enabled Hardware Security Approach for Aging Classification and Manufacturer Identification of SRAM PUFs

H Singh - 2024 - rave.ohiolink.edu
Semiconductor microelectronics integrated circuits (ICs) are increasingly integrated into
modern life-critical applications, from intelligent infrastructure and consumer electronics to …