Results 81 to 90 of about 29,104 (263)
Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
A review on NLP zero-shot and few-shot learning: methods and applications
Discover Applied SciencesZero-shot and few-shot learning techniques in natural language processing (NLP), this comprehensive review traces their evolution from traditional methods to cutting-edge approaches like transfer learning and pre-trained language models, semantic ...
G. Ramesh +6 more
doaj +1 more source
Malware Classification Using Few-Shot Learning Approach
InformationMalware detection, targeting the microarchitecture of processors, has recently come to light as a potentially effective way to improve computer system security.
Khalid Alfarsi +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Large Margin Few-Shot Learning
CoRR, 2018 The key issue of few-shot learning is learning to generalize. This paper proposes a large margin principle to improve the generalization capacity of metric based methods for few-shot learning. To realize it, we develop a unified framework to learn a more discriminative metric space by augmenting the classification loss function with a large margin ...
Yong Wang 0032 +6 more
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco +7 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.A fully defined GelMA‐based ECM platform integrates tunable tissue‐relevant stiffness with laminin–entactin biochemical supplementation to support mouse small intestinal organoid growth. Coordinated control of mechanical and biochemical cues promotes robust proliferation, budding morphogenesis, differentiation, and passaging, providing a reproducible ...
Junyi Liu +3 more
wiley +1 more source
Learning to learn for few-shot continual active learning
Artificial Intelligence ReviewAbstractContinual learning strives to ensure stability in solving previously seen tasks while demonstrating plasticity in a novel domain. Recent advances in continual learning are mostly confined to a supervised learning setting, especially in NLP domain.
Stella Ho +3 more
openaire +2 more sources
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
Advanced Materials, EarlyView.This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source