Raman spectroscopy in open-world learning settings using the objectosphere approach
Raman spectroscopy, combined with machine learning techniques, holds great promise for
many applications as a rapid, sensitive, and label-free identification method. Such …
many applications as a rapid, sensitive, and label-free identification method. Such …
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
Y Balytskyi, N Kalashnyk, I Hubenko… - … & Biomedical Imaging, 2024 - ACS Publications
The combination of deep learning techniques and Raman spectroscopy shows great
potential offering precise and prompt identification of pathogenic bacteria in clinical settings …
potential offering precise and prompt identification of pathogenic bacteria in clinical settings …
Interpretable one-class classification of Raman spectra using prediction bands estimated by wavelet regression
Previously, we introduced a novel one-class classification (OCC) concept for spectra. It uses
as acceptance space for genuine spectra of the target chemical, a prediction band in the …
as acceptance space for genuine spectra of the target chemical, a prediction band in the …
[PDF][PDF] 基于全光谱主成分分析的拉曼信号提取方法
王方原， 张敬义， 叶松， 李树， 王新强 - Spectroscopy and Spectral …, 2024 - researching.cn
摘要拉曼光谱? 5; 563)/0125 基于拉曼散射效应的散射光谱由于不同种类物质的振动转动能量
特征是唯一的由此产生的拉曼散射光谱也是唯一的因此拉曼光谱在鉴别物质成分方面极具优势 …
特征是唯一的由此产生的拉曼散射光谱也是唯一的因此拉曼光谱在鉴别物质成分方面极具优势 …
Misalignment of Spectral Data: Constrained Optimization in a Functional Data Analysis Framework
F Di Salvo, D CHILLURA MARTINO… - … in the Digital Age-Book of …, 2022 - iris.unipa.it
Across several branches of sciences, a large number of applications involves data
represented as functions and curves, for which functional data analysis can play a central …
represented as functions and curves, for which functional data analysis can play a central …