F Mao, K Khamis, S Krause, J Clark… - Frontiers in Earth …, 2019 - frontiersin.org
The use of low-cost sensor networks (LCSNs) is becoming increasingly popular in the environmental sciences and the unprecedented monitoring data generated enable research …
EA Evangelakos, D Kandris, D Rountos… - Journal of Low Power …, 2022 - mdpi.com
Wireless Sensor Networks (WSNs) are considered to be among the most important scientific domains. Yet, the exploitation of WSNs suffers from the severe energy restrictions of their …
KK Khedo, Y Bissessur, DS Goolaub - Future Generation Computer …, 2020 - Elsevier
Efficient early-warning systems for earthquakes should be able to provide accurate information on the seismic event allowing ample time for precautionary measures. In this …
S Awadallah, D Moure, P Torres-González - Sensors, 2019 - mdpi.com
In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network …
L Terray, L Royer, D Sarramia, C Achard, E Bourdeau… - Sensors, 2020 - mdpi.com
While radon in soil gases has been identified for decades as a potential precursor of volcanic eruptions, there has been a recent interest for monitoring radon in air on active …
L Catalan, A Garacochea, A Casi, M Araiz… - Sensors, 2020 - mdpi.com
Although there is an important lack of commercial thermoelectric applications mainly due to their low efficiency, there exist some cases in which thermoelectric generators are the best …
We developed a cost-effective Fast-Response Optical Spectroscopy Time-synchronized instrument (FROST). FROST can measure 18 light spectra in 18 wavebands ranging from …
M Nabhan, Y Mei, J Shi - Journal of Quality Technology, 2021 - Taylor & Francis
Effective process monitoring of high-dimensional data streams with embedded spatial structures has been an arising challenge for environments with limited resources. Utilizing …
This paper presents a new type of wireless platform designed for real-time traffic estimation and road surface monitoring. The sensor platform is built around a 32-bit ARM Cortex M4 …