Results 51 to 60 of about 13,095 (215)
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
This paper presents a comprehensive comparison between Vision Transformers and Convolutional Neural Networks for face recognition related tasks, including extensive experiments on the tasks of face identification and verification.
Marcos Rodrigo +2 more
doaj +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
FreqDualNet: frequency-aware vision transformers for tumor segmentation [PDF]
Recent advances in deep learning models such as U-Net Transformer (UNETR) and Swin U-Net Transformer (SwinUNETR) have significantly improved tumor segmentation accuracy and local structural sensitivity in medical imaging.
Jungro Lee, Minhyeok Lee
doaj +2 more sources
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
Ultrasound Image Analysis with Vision Transformers—Review
Ultrasound (US) has become a widely used imaging modality in clinical practice, characterized by its rapidly evolving technology, advantages, and unique challenges, such as a low imaging quality and high variability.
Majid Vafaeezadeh +2 more
doaj +1 more source
An interface‐defect co‐engineered strategy enables bias‐programmable integration of self‐powered photodetection and low‐power synaptic functionalities within a single‐material amorphous Ga2O3 device. This design achieves reversible switching via voltage modulation, supporting high‐contrast imaging and visual memory, and demonstrates a neuromorphic ...
Wanjun Li +13 more
wiley +1 more source
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Quantum Machine Learning: Towards Hybrid Quantum-Classical Vision Models
The emergence of deep vision models such as convolutional neural networks and vision transformers has revolutionized computer vision, enabling significant advancements in image classification, object detection, and segmentation.
Syed Muhammad Abuzar Rizvi +4 more
doaj +1 more source
A magnetically assisted snap‐through liquid crystal elastomer transforms photochemical deformation into a high‐power mechanical impulse, enabling remote microneedle actuation and highlighting its potential for future smart livestock intervention systems.
Chae Won Lee +3 more
wiley +1 more source

