Results 151 to 160 of about 2,994,344 (285)

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

Southeast Kansas, region-02 : development plan [1967]

, 1967
March 1967 "701 project no. Kans. P-43."METHODS AND PROCEDURES -- INVENTORY AND ANALYSIS -- GOALS -- REGIONAL DEVELOPMENT POLICIES PLAN -- IMPLEMENTATION -- LIST OF FIGURES -- LIST OF ...
Southeast Kansas Regional Planning Committee
core  

Study on the Role of FGF9/ERK/MMP9 Pathway in Age-Related Cataract and in (-)-Epigallocatechin-3-gallate Protecting Lens Epithelial Cells From Apoptosis. [PDF]

Cell Biochem Funct
Yu J, Wu Y, Wu J, Shi C, Chen X, Wei Y, Guan L, He J, Zhang Y, Xiang Z, Su D, Hu S, Ma X.   +12 more
europepmc   +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

Establishing a Clinical Trial Quality Team in a Comprehensive Cancer Center: A Strategy to Navigate the New European Regulatory Landscape. [PDF]

Curr Oncol
Callegarin F, Masetto E, Basaldella B, Del Bianco P, Doria G, Kilmartin D, Magni G, Moratello G, Pagan G, Paggio A, Perilli L, Rescigno P, De Salvo GL.   +12 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Waste-to-energy technology selection and capacity planning in a multi-facility waste management system. [PDF]

Discov Energy
Saif A, Zoroufchi Benis K.
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Supply of interventional cardiologists and the provision of lower-value Percutaneous Coronary Interventions (PCI). [PDF]

PLoS One
Gaffney A, Chalmers K, Himmelstein DU, Woolhandler S, Saini V.   +4 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source