Results 241 to 250 of about 666,291 (363)

Generative artificial intelligence: a historical perspective. [PDF]

Natl Sci Rev
He R, Cao J, Tan T.
europepmc   +1 more source

Kuroda and Fujimura Laboratory -Image and Computer Graphics Laboratory-

, 2007
Takashi Ueno, Tomomi Kinameri, Yasushi Hirayama, Hiroyuki Matsunami, Kazuki Mori, Manabu Wada   +5 more
openalex   +2 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Textured surface stereoscopy. [PDF]

Iperception
Wade NJ.
europepmc   +1 more source

High-performance image reconstruction in fluorescence tomography on desktop computers and graphics hardware

, 2011
Manuel Freiberger, Herbert Egger, Manfred Liebmann, Hermann Scharfetter   +3 more
openalex   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data. [PDF]

Commun Med (Lond)
Mill L, Aust O, Ackermann JA, Burger P, Pascual M, Palumbo-Zerr K, Krönke G, Uderhardt S, Schett G, Clemen CS, Holtzhausen C, Jabari S, Schröder R, Maier A, Grüneboom A.   +14 more
europepmc   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection. [PDF]

Sci Data
Mohammed Eltoum MA, Iqbal E, Zweiri Y, Moyo B, Abdulrahman Y.   +4 more
europepmc   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source