Results 151 to 160 of about 167,744,003 (294)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Army History Magazine

Army History is published by the U.S. Army Center of Military History.
U.S. Army Center of Military History
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Ohio History Center Dedication Ceremony photograph

, 1970
This 9.5" x 6.5" (24.13 x 16.51cm) photograph of the dedication of the Ohio History Center, the new home of the Ohio Historical Society (now the Ohio History Connection), was taken on August 23, 1970.
Ohio History Connection
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Architecture and History [PDF]

Architectural History, 1984
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Cone-Beam Computed Tomography Imaging of Primary Non-Hodgkin Lymphoma of the Jaws: A 6-Case Series. [PDF]

Am J Case Rep
Chatzipetros E, Alexiou KE, Tsiklakis K, Angelopoulos C.   +3 more
europepmc   +1 more source

A history of architecture [PDF]

, 1906
Russell Sturgis, Arthur Lincoln Frothingham   +1 more
openaire   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Nurbsters, Foldsters and Neoplasmatic Architecture

, 2010
Presented on February 20, 2012 from 6:00 pm-8:00 pm in the Reinsch-Pierce Family Auditorium on the Georgia Tech campus.Marcos Cruz is the Director of the Bartlett School of Architecture in London where he is also Studio Master of MArch Unit 20.
Cruz, Marcos
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