Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro +3 more
wiley +1 more source
Discrete Representation Learning for Multivariate Time Series. [PDF]
Ajirak M +3 more
europepmc +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Multivariate time series clustering analysis of the Global Dietary Database to uncover patterns in dietary trends (1990-2018). [PDF]
Matousek A, Leung TH, Pang H.
europepmc +1 more source
Trade‐offs in avian parental care: a review of theory and meta‐analysis of brood size manipulations
ABSTRACT The selective forces shaping parental care have been studied for over 50 years. While theoretical and experimental work has yielded qualitative progress, the large body of empirical work testing predictions about parental investment based on life‐history trade‐offs has yet to be synthesized.
Rebekah A. McKinnon +4 more
wiley +1 more source
Protocol for processing multivariate time-series electronic health records of COVID-19 patients. [PDF]
Wang Z +10 more
europepmc +1 more source
ABSTRACT The agri‐food sector is vital to economic development, but it exerts significant environmental and social pressures. This study draws on the natural resource‐based view. It investigates the strategic sustainability‐performance nexus in the global food and beverage industry using a longitudinal dataset (2013–2023) of 633 firms across the EU ...
Alessandro Bernardo +5 more
wiley +1 more source
A Survey of Deep Anomaly Detection in Multivariate Time Series: Taxonomy, Applications, and Directions. [PDF]
Wang F +5 more
europepmc +1 more source
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad +5 more
wiley +1 more source
A Robust Multivariate Time Series Classification Approach Based on Topological Data Analysis for Channel Fault Tolerance. [PDF]
Jeung SY, Kwon JW.
europepmc +1 more source

