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Dimensionality reduction in surrogate modeling: A review of combined methods
Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …
engineering processes such as manufacturing and computer-assisted engineering. The …
Neural networks for hyperspectral imaging of historical paintings: a practical review
Hyperspectral imaging (HSI) has become widely used in cultural heritage (CH). This very
efficient method for artwork analysis is connected with the generation of large amounts of …
efficient method for artwork analysis is connected with the generation of large amounts of …
[HTML][HTML] Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE
Ink analysis is an important tool in forensic science and document analysis. Hyperspectral
imaging (HSI) captures large number of narrowband images across the electromagnetic …
imaging (HSI) captures large number of narrowband images across the electromagnetic …
Using t-distributed Stochastic Neighbor Embedding (t-SNE) for cluster analysis and spatial zone delineation of groundwater geochemistry data
Cluster analysis is a valuable tool for understanding spatial and temporal patterns (eg,
spatial zones) of groundwater geochemistry. To determine cluster numbers and cluster …
spatial zones) of groundwater geochemistry. To determine cluster numbers and cluster …
Application of Uniform Manifold Approximation and Projection (UMAP) in spectral imaging of artworks
This study assesses the potential of Uniform Manifold Approximation and Projection (UMAP)
as an alternative tool to t-distributed Stochastic Neighbor Embedding (t-SNE) for the …
as an alternative tool to t-distributed Stochastic Neighbor Embedding (t-SNE) for the …
Predictive maintenance on the machining process and machine tool
This paper presents the process required to implement a data driven Predictive
Maintenance (PdM) not only in the machine decision making, but also in data acquisition …
Maintenance (PdM) not only in the machine decision making, but also in data acquisition …
Unsupervised clustering of hyperspectral paper data using t-SNE
For a suspected forgery that involves the falsification of a document or its contents, the
investigator will primarily analyze the document's paper and ink in order to establish the …
investigator will primarily analyze the document's paper and ink in order to establish the …
[HTML][HTML] t-SNE: A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters
In recent years there is a growing importance in using machine learning techniques to
improve procedures in precision agriculture: in this work we perform a study on models …
improve procedures in precision agriculture: in this work we perform a study on models …
1D convolutional neural network for the discrimination of aristolochic acids and their analogues based on near-infrared spectroscopy
X Chen, Q Chai, N Lin, X Li, W Wang - Analytical Methods, 2019 - pubs.rsc.org
Chinese herbs containing aristolochic acids (AAs) have been implicated in renal failure and
urothelial carcinoma. The detection of AAs and their analogues is significant for the correct …
urothelial carcinoma. The detection of AAs and their analogues is significant for the correct …
XRFast a new software package for processing of MA-XRF datasets using machine learning
X-ray fluorescence (XRF) spectroscopy is a common technique in the field of heritage
science. However, data processing and data interpretation remain a challenge as they are …
science. However, data processing and data interpretation remain a challenge as they are …