Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]
Agal S, Raulji K, Odedra ND.
europepmc +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
Research on the evolutionary game and simulation of multiple subjects' behavior in the reconstruction of old urban residential communities. [PDF]
Jiang Y, Dong Y.
europepmc +1 more source
Contagion and the beginning of the crisis - pre-Lehman period [PDF]
Kiraly-Marton, Julia +1 more
core
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection. [PDF]
Ni L +5 more
europepmc +1 more source
ABSTRACT The integration of energy transition, artificial intelligence, and the digital economy represents a significant shift in the global effort to combat energy poverty and offers innovative tools and approaches to increase energy access, efficiency, and affordability for underserved populations. This study examines the impact of energy transition,
Abdulmuttalip Pilatin +4 more
wiley +1 more source
Continuous-flow electron spin resonance microfluidics device with sub-nanoliter sample volume. [PDF]
Zgadzai O +5 more
europepmc +1 more source

