Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration. [PDF]
Zhang W, Gu X.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Pursuing Better Representations: Balancing Discriminability and Transferability for Few-Shot Class-Incremental Learning. [PDF]
Li Q, Wang W, Fan H, Hui B, Wen F.
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Fusion of classical and deep learning features with incremental learning for improved classification of lung and colon cancer. [PDF]
Anusha M, Reddy DS.
europepmc +1 more source
An efficient real-time stock prediction exploiting incremental learning and deep learning. [PDF]
Singh T +4 more
europepmc +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
TSCL-LwF: A Cross-Subject Emotion Recognition Model via Multi-Scale CNN and Incremental Learning Strategy. [PDF]
Wan C +5 more
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Uncertainty aware domain incremental learning for cross domain depression detection. [PDF]
Lifelo Z, Ding J, Ning H, Dhelim S.
europepmc +1 more source

