Deep learning in analytical chemistry

B Debus, H Parastar, P Harrington… - TrAC Trends in Analytical …, 2021 - Elsevier
In recent years, extensive research in the field of Deep Learning (DL) has led to the
development of a wide array of machine learning algorithms dedicated to solving complex …

Materials for the photoluminescent sensing of rare earth elements: challenges and opportunities

SE Crawford, PR Ohodnicki, JP Baltrus - Journal of Materials Chemistry …, 2020 - pubs.rsc.org
Rare earth elements (REEs) are widely used in high-performance technologies including
wind turbine magnets, electric vehicle batteries, lighting displays, circuitry, and national …

An automated machine-learning approach for road pothole detection using smartphone sensor data

C Wu, Z Wang, S Hu, J Lepine, X Na, D Ainalis… - Sensors, 2020 - mdpi.com
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …

Flexible and wearable healthcare sensors for visual reality health-monitoring

Y Li, L Zheng, X Wang - Virtual Reality & Intelligent Hardware, 2019 - Elsevier
Visual reality (VR) health-monitoring by flexible electronics provides a new avenue to
remote and wearable medicine. The combination of flexible electronics and VR could …

Denoising by singular value decomposition and its application to electronic nose data processing

SK Jha, RDS Yadava - IEEE Sensors Journal, 2010 - ieeexplore.ieee.org
This paper analyzes the role of singular value decomposition (SVD) in denoising sensor
array data of electronic nose systems. It is argued that the SVD decomposition of raw data …

Smart ring resonator–based sensor for multicomponent chemical analysis via machine learning

Z Li, H Zhang, BTT Nguyen, S Luo, PY Liu, J Zou… - Photonics …, 2021 - opg.optica.org
We demonstrate a smart sensor for label-free multicomponent chemical analysis using a
single label-free ring resonator to acquire the entire resonant spectrum of the mixture and a …

Fast exploration of potential energy surfaces with a joint venture of quantum chemistry, evolutionary algorithms and unsupervised learning

G Mancini, M Fusè, F Lazzari, V Barone - Digital Discovery, 2022 - pubs.rsc.org
Contemporary molecular spectroscopy allows the study of flexible molecules, whose
conformational behavior is ruled by flat potential energy surfaces (PESs) involving a large …

A review of algorithms for SAW sensors e-nose based volatile compound identification

O Hotel, JP Poli, C Mer-Calfati, E Scorsone… - Sensors and Actuators B …, 2018 - Elsevier
Recent advances in odour sensors have led to the development of new applications; among
them, electronic noses have gained major interest and found successful applications in …

Signal processing in electrochemistry

M Jakubowska - Electroanalysis, 2011 - Wiley Online Library
This review presents and promotes preprocessing methods applied in electrochemistry prior
to data exploration, calibration and classification. Smoothing by digital filtering, baseline …

Air quality monitoring for vulnerable groups in residential environments using a multiple hazard gas detector

Y Wu, T Liu, SH Ling, J Szymanski, W Zhang, SW Su - Sensors, 2019 - mdpi.com
This paper presents a smart “e-nose” device to monitor indoor hazardous air. Indoor
hazardous odor is a threat for seniors, infants, children, pregnant women, disabled …