Results 81 to 90 of about 8,049,290 (285)

Automated Inference of Systems Capability from Natural Language Artifacts

Systems
Systems capability is the cognitive ability to plan and execute actions using systems-oriented reasoning. While essential for the design and development of complex systems, it manifests in large organizations primarily through communication and technical
Natansh Vyas, Kristin Falk, Omid Razbani
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Computer-Assisted Relevance Assessment: A Case Study of Updating Systematic Medical Reviews

Applied Sciences, 2020
It is becoming more challenging for health professionals to keep up to date with current research. To save time, many experts perform evidence syntheses on systematic reviews instead of primary studies.
Noha S. Tawfik, Marco Spruit
doaj   +1 more source

Inference for Natural Language.

, 2013
The main aim of this study is to develop a natural language inference (NLI) engine that is more robust than typical systems that are based on post-Montague approaches to semantics and more accurate than the kinds of shallow approaches usually used for textual entailment, The term robustness is concerned with processing as many inputs as possible ...
Alshahrani, Amal, Ramsay, Allan
openaire   +4 more sources

Statistical inferences for polarity identification in natural language

PLOS ONE, 2018
Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of researchers to understand how humans process information to reach decisions.
Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann   +2 more
openaire   +7 more sources

Natural Language Based Inference Procedures Applied to Schubert's Steamroller

, 1991
We have previously argued that the syntactic structure of natural language can be exploited to construct powerful polynomial time inference procedures.
Sameer Shalaby, David Mcallester, Shalaby, Sameer, Robert Givan, Givan, Robert, McAllester, David   +5 more
core  

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

Splitting the structured paths in stratified graphs. Application in Natural Language Generation

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014
The concept of labeled stratified graph (LSG) introduces some method of knowledge representation. The inference process developed for this structures uses the paths of the stratified graphs, an order between the elementary arcs of a path and some results
Dănciulescu Dana, Colhon Mihaela
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Bayesian Informal Logic and Fallacy

Informal Logic, 2004
Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments.
Kevin Korb
doaj   +1 more source