Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge. [PDF]
Maraghi VO, Faez K.
europepmc +1 more source
Quantitative Stain Mapping in X‐Ray Virtual Histology
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John +16 more
wiley +1 more source
Dynamic Monitoring Method of Polymer Injection Molding Product Quality Based on Operating Condition Drift Detection and Incremental Learning. [PDF]
Shen G, Li S, Zhang Y, Zhou H, Li M.
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
Zero-shot incremental learning using spatial-frequency feature representations. [PDF]
Ren J, Zhao Y, Zhang W, Sun C.
europepmc +1 more source
An incremental learning approach to prediction models of SEIRD variables in the context of the COVID-19 pandemic. [PDF]
Camargo E +4 more
europepmc +1 more source
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source
Parameter-Free Statistical Generator-Based Class Incremental Learning for Multi-User Physical Layer Authentication in the Industrial Internet of Things. [PDF]
Zhao W, Guo Y, Huang Y, Chen Y, Chen L.
europepmc +1 more source
Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning. [PDF]
Song-Men S.
europepmc +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source

