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 …
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
Rare earth elements (REEs) are widely used in high-performance technologies including
wind turbine magnets, electric vehicle batteries, lighting displays, circuitry, and national …
wind turbine magnets, electric vehicle batteries, lighting displays, circuitry, and national …
An automated machine-learning approach for road pothole detection using smartphone sensor data
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
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 …
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 …
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
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 …
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
Contemporary molecular spectroscopy allows the study of flexible molecules, whose
conformational behavior is ruled by flat potential energy surfaces (PESs) involving a large …
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 …
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 …
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
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 …
hazardous odor is a threat for seniors, infants, children, pregnant women, disabled …