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Machine learning for nanoplasmonics
Plasmonic nanomaterials have outstanding optoelectronic properties potentially enabling
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Abstract Machine learning is sha** up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …
machine learning provides an unprecedented opportunity to extract information from …
Artificial intelligence enhanced sensors-enabling technologies to next-generation healthcare and biomedical platform
The fourth industrial revolution has led to the development and application of health
monitoring sensors that are characterized by digitalization and intelligence. These sensors …
monitoring sensors that are characterized by digitalization and intelligence. These sensors …
Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends
Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …
provides rich chemical information and high sensitivity, being applicable in many scientific …
Sensing antibiotics in wastewater using surface-enhanced Raman scattering
Rapid and cost-effective detection of antibiotics in wastewater and through wastewater
treatment processes is an important first step in develo** effective strategies for their …
treatment processes is an important first step in develo** effective strategies for their …
Recent progress and trend of robot odor source localization
T **g, QH Meng, H Ishida - IEEJ Transactions on Electrical …, 2021 - Wiley Online Library
Accurate and prompt localization of hazardous release sources ensures a timely emergency
response to potential damages. Robot odor source localization is the study of locating the …
response to potential damages. Robot odor source localization is the study of locating the …
[HTML][HTML] Machine learning enhances the performance of bioreceptor-free biosensors
Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
Deep learning analysis of vibrational spectra of bacterial lysate for rapid antimicrobial susceptibility testing
Rapid antimicrobial susceptibility testing (AST) is an integral tool to mitigate the unnecessary
use of powerful and broad-spectrum antibiotics that leads to the proliferation of multi-drug …
use of powerful and broad-spectrum antibiotics that leads to the proliferation of multi-drug …
Lectin-modified bacterial cellulose nanocrystals decorated with Au nanoparticles for selective detection of bacteria using surface-enhanced Raman scattering coupled …
Bacterial cellulose nanocrystals (BCNCs) are tunable and biocompatible cellulose
nanomaterials that can be easily bioconjugated and used for biosensing applications. We …
nanomaterials that can be easily bioconjugated and used for biosensing applications. We …
Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: current trends, challenges, and …
JW Tang, Q Yuan, XR Wen, M Usman… - Interdisciplinary …, 2024 - Wiley Online Library
Infectious diseases caused by microbial pathogens remain a primary contributor to global
health burdens. Prompt control and effective prevention of these pathogens are critical for …
health burdens. Prompt control and effective prevention of these pathogens are critical for …