Results 161 to 170 of about 37,022,242 (283)

Human-Centered Content-Based Image Retrieval. [PDF]

, 2005
Radboud Universiteit Nijmegen, 21 september ...
openaire   +3 more sources

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Entropy guided multi level feature fusion network for high precision content based image retrieval. [PDF]

Sci Rep
Lavanya M, Vennira Selvi G, Gopi R, Vimal Raj AC.   +3 more
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

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, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images. [PDF]

Sci Rep
Bozdag PG, Mutlu HB, Karaduman M, Yildirim M, Khan MA, Alsenan S, Baili J, Nam Y.   +7 more
europepmc   +1 more source

Multiple Query Content-Based Image Retrieval Using Relevance Feature Weight Learning. [PDF]

J Imaging, 2020
Al-Mohamade A, Bchir O, Ben Ismail MM.
europepmc   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval. [PDF]

Sci Rep
Cep R, Elangovan M, Ramesh JVN, Chohan MK, Verma A.   +4 more
europepmc   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
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, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Content-based image retrieval assists radiologists in diagnosing eye and orbital mass lesions in MRI. [PDF]

Sci Rep
Rumberger JL, Lim W, Wildfeuer B, Sodemann EB, Lecler A, Stemplinger S, Issever AS, Sepahdari A, Langner S, Kainmueller D, Hamm B, Erb-Eigner K.   +11 more
europepmc   +1 more source