33 documents found, page 1 of 4

Lignin extraction from acacia wood: crafting deep eutectic solvents with a syst...

Lignin is a complex biopolymer whose efficient extraction from biomass is crucial for various applications. Deep eutectic solvents (DES), particularly natural-origin DES (NADES), have emerged as promising systems for lignin fractionation and separation from other biomass components. While ternary DES offer enhanced fractionation performance, the role of each component in these mixtures remains unclear. In this ...

Persistence Landscapes—Implementing a Dataset Verification Method in Resource-S...

As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelligent systems. Therefore, verifying whether the data being gathered are similar to those used for model building is essential. One fantastic tool for the performance...

Persistence landscapes - implementing a dataset verification method in resource...

As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelligent systems. Therefore, verifying whether the data being gathered are similar to those used for model building is essential. One fantastic tool for the performance...

Optimal design of experiments for hypothesis testing on ordered treatments via ...

We find experimental plans for hypothesis testing when a prior ordering of experimental groups or treatments is expected. Despite the practical interest of the topic, namely in dose finding, algorithms for systematically calculating good plans are still elusive. Here, we consider the intersection-union principle for constructing optimal experimental designs for testing hypotheses about ordered treatments. We pr...

Chitosan-xanthan gum PEC-based aerogels: A chemically stable PEC in scCO2

An innovative aerogel obtained from a chitosan/xanthan gum polyelectrolyte complex (PEC) was developed in this work from the screening of thirteen different combinations of natural polyelectrolytes: two positively charged biopolymers (chitosan and gelatin A), six negatively-charged biopolymers (pectin, iota-carrageenan, collagen, xanthan gum, alginate and modified galactomannan), and a neutral polymer (guar gum...

0-Dimensional Persistent Homology Analysis Implementation in Resource-Scarce Em...

Persistent Homology (PH) analysis is a powerful tool for understanding many relevant topological features from a given dataset. PH allows finding clusters, noise, and relevant connections in the dataset. Therefore, it can provide a better view of the problem and a way of perceiving if a given dataset is equal to another, if a given sample is relevant, and how the samples occupy the feature space. However, PH in...

0-dimensional persistent homology analysis implementation in resource-scarce em...

Persistent Homology (PH) analysis is a powerful tool for understanding many relevant topological features from a given dataset. PH allows finding clusters, noise, and relevant connections in the dataset. Therefore, it can provide a better view of the problem and a way of perceiving if a given dataset is equal to another, if a given sample is relevant, and how the samples occupy the feature space. However, PH in...

Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning ...

The high quality of Port wine is the result of a sequence of winemaking operations, such as harvesting, maceration, fermentation, extraction and aging. These stages require proper monitoring and control, in order to consistently achieve the desired wine properties. The present work focuses on the harvesting stage, where the sugar content of grapes plays a key role as one of the critical maturity parameters. Our...

Special Issue “Advanced Process Monitoring for Industry 4.0”

First Principles Statistical Process Monitoring of High-Dimensional Industrial ...

Modern industrial units collect large amounts of process data based on which advanced process monitoring algorithms continuously assess the status of operations. As an integral part of the development of such algorithms, a reference dataset representative of normal operating conditions is required to evaluate the stability of the process and, after confirming that it is stable, to calibrate a monitoring procedu...