Results 181 to 190 of about 4,878,308 (296)

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

Ordered Search in Differentiated Markets [PDF]

This paper presents an ordered search model in which consumers search both for price and product fitness. We show that there is price dispersion in equilibrium and prices rise in the order of search.
Zhou, Jidong
core  

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

Random House Websters College Dictionary

, 2001
Random House Reference, Random House
core   +1 more source

The place of liver transplantation (LT) in the treatment of hepatic epitheloid haemangioendothelioma (HEHE): Report of the european liver transplant registry

, 2007
L. Search Kobori, ROSSI, MASSIMO, J. Search Figueras, M. Search Berenguer, V. Search Karam, J. Search Pirenne, U. Search Baccarani, J. C. G. Search Valdecassas, J. Search Klempnauer, E. Search Benvenuto, V. Search Mazzaferro, M. Search Colledan, F. Search Calise, J. Search Lerut, Eltr, M. Search Schiavo, C. F. Search Selles, R. Search Pfitzmann, G. Search Orlando, N. Search Halkic, D. Search Jaeck, J. O. D. Search Urbina, V. Search Delvart, R. Search Steininger, A. Search Wettergren, D. Search Mirza, P. Search Pisarski, H. Search Metselaar, M. Search, A. Search Burroughs, A. Search Holscher, G. Search Soderdahl, I. Search Graziadei, Adam R. Search, E. Search Boleslawski, M. Search Salizzoni   +35 more
core  

Random House Webster's School and Office Dictionary

, 2002
Random House
core  

Learning from pandemics: Feature selection and clustering for robust digital disease nowcasting. [PDF]

PLoS One
Mesquita S, Loureiro J, Haupt Vieira C, Perfeito L, Gonçalves-Sá J.   +4 more
europepmc   +1 more source

Discrepancies Between Micro Versus Macroscale Viscoelastic Properties in a Microplastic‐Tissue Composite Model

Advanced Engineering Materials, EarlyView.
This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser, Baptiste Le Roi, Omri Leshem, Joshua M. Grolman   +3 more
wiley   +1 more source

Nature-inspired multi-objective artificial intelligence for short-horizon volatility-regime early warning and defensive asset allocation. [PDF]

Front Artif Intell
Boukeffa H, Djeffal S, Ghoul A.
europepmc   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source