Results 191 to 200 of about 2,371,896 (336)
Workflow Recognition from Knee Surgical Videos: Role of Deep Neural Networks
, 2019 Shoichi Nishio +4 more
openalex +2 more sources
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling +7 more
wiley +1 more source
Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch +2 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi +3 more
wiley +1 more source
Emergency surgical workflow and experience of suspected cases of COVID-19: A case report. [PDF]
World J Clin Cases, 2020 Wu D, Xie TY, Sun XH, Wang XX.
europepmc +1 more source
Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen +20 more
wiley +1 more source
Current Directions in Biomedical EngineeringThe level of digitalization and automation, including robotic systems, is increasing in modern operating theaters. However, the integration of such systems within an already complex and limited environment creates challenges, such as collaboration with ...
Adiyaman Cem +4 more
doaj +1 more source
Mechanical Metamaterials for Bioengineering: In Vitro, Wearable, and Implantable Applications
Advanced Engineering Materials, Volume 27, Issue 7, April 2025.Mechanical metamaterials with engineered architectures exhibit properties that differ from and greatly surpass those of their constituent bulk materials. This review summarizes the applications of mechanical metamaterials in bioengineering, focusing on advances in the last 5 years.
Madihah Kazim +2 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.A novel metadata schema is introduced to address the sparsity of microstructure‐sensitive mechanical data. The design follows the material modeling workflow, as each run results in the definition of unique data objects. The schema includes categorical elements to ensure findability, accessibility, interoperability, and reusability (FAIR). This approach
Ronak Shoghi, Alexander Hartmaier
wiley +1 more source
Thoracic Surgery Video Analysis for Surgical Phase Recognition [PDF]
ICRA-RAMI Workshop, May 2024, JapanThis paper presents an approach for surgical phase recognition using video data, aiming to provide a comprehensive understanding of surgical procedures for automated workflow analysis. The advent of robotic surgery, digitized operating rooms, and the generation of vast amounts of data have opened doors for the application of machine learning and ...
arxiv