Mitigating the Vanishing Gradient Problem Using a Pseudo-Normalizing Method. [PDF]
Entropy (Basel)Bu Y, Jiang W, Lu G, Zhang Q.
europepmc +1 more source
A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis
Materials Genome Engineering Advances, EarlyView.Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang +11 more
wiley +1 more source
All-optical <i>in vivo</i> photoacoustic tomography by adaptive multilayer acoustic backpropagation. [PDF]
PhotoacousticsYoon T +5 more
europepmc +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq +4 more
wiley +1 more source
Artificial Neural Networks for Predicting Emissions from the Livestock Sector: A Review. [PDF]
Animals (Basel)Santoro LM +4 more
europepmc +1 more source
Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, leveraging previous scans is challenging due to the complex relationship between scan sessions, potentially involving substantial anatomical or pathological changes, and ...
Yonatan Urman +4 more
wiley +1 more source
Comparative Prediction of Methane Production In Vitro Using Multiple Regression Model and Backpropagation Neural Network Based on Cornell Net Carbohydrate and Protein System. [PDF]
Vet SciYu G, Li Z, Dong R.
europepmc +1 more source
Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules
Polymer Composites, EarlyView.Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk +4 more
wiley +1 more source
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source
Machine Learning in Transforming the Food Industry. [PDF]
FoodsHussain MA, Khan MIH, Karim A.
europepmc +1 more source