This week highlights advances in food authenticity research, AI applications in analytical chemistry, REIMS for pork classification, improved GC×GC sensitivity, and greener SFC workflows.

Hemeryck and Lynn Vanhaecke, two of the authors of the paper resulting from this work, and their expert colleague, Vera Plekhova, about the study and their findings.

Abstract: Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...

Physical classification is the official standard method for determining grain quality for commercialization. However, it is a time-consuming, subjective operation, susceptible to errors, and requires ...

While there are a number of advanced data analysis techniques that allow us to embrace distributed electrophysiological activity measured by MEG, these tools are somewhat underexploited. This includes ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The extensive diversity of tea, resulting from varietal traits and manufacturing ...

Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

The IHSA announced three significant changes to its classification policy Tuesday. Starting in the 2025-26 school year, the IHSA will go back to using fixed classification cutoffs, change its ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...