Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]
Sci RepChen C, Gong Z.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving. [PDF]
PLoS OneWang N.
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation. [PDF]
Phys Med BiolQian X, Shao HC, Cai J, Zhang Y.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems. [PDF]
Sensors (Basel)Hu H +5 more
europepmc +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
Advanced Intelligent Systems, EarlyView.A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source
Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images. [PDF]
Cancers (Basel)Kakon SC +4 more
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American Journal of Medical Genetics Part A, EarlyView.ABSTRACT To evaluate the prevalence of psychiatric signs and symptoms and describe psychotherapeutic and psychopharmacological interventions among children with osteogenesis imperfecta (OI). PRISMA guidelines were followed, and the study was registered in PROSPERO (CRD42024588284). Studies (n = 1419) were identified across five databases.
Julia M. Morales +13 more
wiley +1 more source