A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations

HK Kondaveeti, NK Kumaravelu… - Computer Science …, 2021 - Elsevier
Arduino, an open-source electronics platform, has become the go-to option for anyone
working on interactive hardware and software projects. An Arduino board (such as the Uno) …

[HTML][HTML] Environmental odour management by artificial neural network–A review

T Zarra, MG Galang, F Ballesteros Jr, V Belgiorno… - Environment …, 2019 - Elsevier
Unwanted odour emissions are considered air pollutants that may cause detrimental
impacts to the environment as well as an indicator of unhealthy air to the affected individuals …

Recent developments in sensor technologies for enabling the hydrogen economy

K Ramaiyan, L Tsui, EL Brosha, C Kreller… - ECS Sensors …, 2023 - iopscience.iop.org
Efforts to create a sustainable hydrogen economy are gaining momentum as governments
all over the world are investing in hydrogen production, storage, distribution, and delivery …

Soft sensors based on deep neural networks for applications in security and safety

MG Xibilia, M Latino, Z Marinković… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Here, this article reports about the design of a soft sensor (SS) able to monitor the hazardous
gases in industrial plants. The SS is designed to estimate the gas concentrations by means …

Applications of the open-source hardware Arduino platform in the mining industry: A review

SM Kim, Y Choi, J Suh - Applied Sciences, 2020 - mdpi.com
In this study, applications of the Arduino platform in the mining industry were reviewed.
Arduino, a representative and popular open-source hardware, can acquire information from …

A simple approach for sensing and accurate prediction of multiple organic vapors by sensors based on CuO nanowires

S Kulkarni, R Ghosh - Sensors and Actuators B: Chemical, 2021 - Elsevier
Abstract Development of sensors that can sense volatile organic compounds (VOCs)
efficiently is imperative for different real-life applications. This paper reports synthesis of CuO …

Ensemble machine learning model for accurate air pollution detection using commercial gas sensors

WI Lai, YY Chen, JH Sun - Sensors, 2022 - mdpi.com
This paper presents the results on developing an ensemble machine learning model to
combine commercial gas sensors for accurate concentration detection. Commercial gas …

[HTML][HTML] Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network

MF Adak, P Lieberzeit, P Jarujamrus… - Engineering Science and …, 2020 - Elsevier
Alcohols with different structures are used frequently in hygiene products and cosmetics. It is
desirable to classify these alcohols to evaluate their potential harmful effects using less …

An end to end indoor air monitoring system based on machine learning and sensiplus platform

M Molinara, M Ferdinandi, G Cerro, L Ferrigno… - IEEE …, 2020 - ieeexplore.ieee.org
In the framework of indoor air monitoring, this paper proposes an Internet of Things ready
solution to detect and classify contaminants. It is based on a compact and low-power …

Nanoengineering approaches toward artificial nose

S Kim, J Brady, F Al-Badani, S Yu, J Hart… - Frontiers in …, 2021 - frontiersin.org
Significant scientific efforts have been made to mimic and potentially supersede the
mammalian nose using artificial noses based on arrays of individual cross-sensitive gas …