Results 191 to 200 of about 1,214,867 (285)

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

GTGO-driven joint task offloading and resource allocation with explainable AI in vehicular edge computing. [PDF]

PLoS One
Moudgil A, Rani S, Khan F.
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

Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people. [PDF]

Nat Med
Xu X', Hu H, Zhang H, Wang WK, Wang R, Soenksen LR, Badri O, Jafry S, Burger E, Nwandu L, Mehta A, Duhaime EP, Qasim A, Lin H, Pereira JK, Hershon J, Mui P, Gru AA, Elhadad N, Mamykina L, Groh M, Tschandl P, Daneshjou R, Ghassemi M.   +23 more
europepmc   +1 more source

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

Machine Learning and Explainable AI for Breast Cancer Patient Prioritization: An Intelligent Decision-Support Framework. [PDF]

Bioengineering (Basel)
Silva-Aravena F, Morales J, Delafuente HN, González-Zúñiga C.   +3 more
europepmc   +1 more source

Model‐Guided Design of Paper Membrane Architectures for Controlled Flow and Enhanced Diagnostic Sensitivity

Advanced Engineering Materials, EarlyView.
Geometrical modifications on nitrocellulose membranes can result in observable differences in signal intensity relative to a reference membrane (top and bottom left). Using two reference experiments, we have developed a theoretical model that can reproduce the experimentally observed flow changes and provide information on membrane parameters, e.g ...
Maria Dimaki, Lea Holritz, Winnie E. Svendsen   +2 more
wiley   +1 more source

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC. [PDF]

Nat Med
Prelaj A, Miskovic V, Sacco M, Ferrarin A, Licciardello CM, Provenzano L, Favali M, Lerma L, Zec A, Spagnoletti A, Ganzinelli M, Lorenzini D, Guirges B, Invernizzi L, Silvestri C, Mazzeo L, Prina MM, Corrao G, Ruggirello M, Dumitrascu AD, Di Mauro RM, Monzani D, Pravettoni G, Zanitti M, Macocchi D, Marino MB, Cavalli C, Romanò R, Giani C, Armato SG, Esposito A, Bestvina CM, Spector M, Naama BR, Basheer R, Hafzadi AL, Roisman L, Watermann I, Szewczyk M, Olchers T, Richter H, Blanke-Roeser C, Siniscalchi C, Di Lello A, Arangoa T, Bartolomeo V, Spathas N, Sarris E, Fountzilas E, Roca AA, Caro-Consuegra R, Iranzo P, Fernández-Pinto M, Rodríguez-Morató J, Agnelli L, Occhipinti M, Brambilla M, Beninato T, Proto C, Kosta S, Di Palma MP, Rulli E, Steurer S, Simon R, Willis M, Pruneri G, De Braud F, Restelli M, Felip E, Peled N, Pearson AT, Linardou H, Reck M, Russo GL, Trovò F, Pedrocchi ALG, Garassino MC, I3LUNG Consortium.   +77 more
europepmc   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Influence of TiC and TiN Ceramic Reinforcements on the Microstructure, Thermal Expansion Behavior, and Tensile Properties of Invar 36 Manufactured by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji, Natasha Sacks, Johannes Pötschke, Björn Matthey   +3 more
wiley   +1 more source