Results 71 to 80 of about 8,393,375 (379)

Robust Predictive Battery Thermal Management Strategy for Connected and Automated Hybrid Electric Vehicles Based on Thermoelectric Parameter Uncertainty

open access: yesIEEE Journal of Emerging and Selected Topics in Power Electronics, 2018
The connected and automated hybrid electric vehicles (CAHEVs) have the potential to improve safety and mitigate traffic congestions. A crucial problem of the CAHEVs is that the lithium-ion batteries are highly temperature sensitive, whose output power is
Chong Zhu, F. Lu, Hua Zhang, C. Mi
semanticscholar   +1 more source

Model uncertainty – parameter uncertainty versus conceptual models

open access: yesWater Science and Technology, 2005
Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
Anker Lajer Højberg   +1 more
openaire   +3 more sources

Landscape of BRAF transcript variants in human cancer

open access: yesMolecular Oncology, EarlyView.
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda   +5 more
wiley   +1 more source

Passivity Analysis and Complete Synchronization of Fractional Order for Both Delayed and Non-Delayed Complex Dynamical Networks with Couplings in the Derivative

open access: yesAxioms, 2023
This manuscript explores the analysis of passivity and synchronization criteria for a complex fractional-order dynamical network model with derivative couplings and time-varying delays. The passivity problem of the proposed network model is deduced using
S. Aadhithiyan   +4 more
doaj   +1 more source

The impact of mass uncertainties on the r-process nucleosynthesis in neutron star mergers [PDF]

open access: yesA&A 694, A180 (2025)
Theoretical predictions of element yields from the rapid neutron capture (r-) process are subject to large uncertainties due to incomplete knowledge of nuclear properties and approximative hydrodynamical modeling of matter ejection. A major source of uncertainty in determining ejecta composition and radioactive decay heat is the lack of nuclear mass ...
arxiv   +1 more source

SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

open access: yesThe Soil, 2021
. SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models.
L. Poggio   +6 more
semanticscholar   +1 more source

Dynamic Incentive Contracts Under Parameter Uncertainty [PDF]

open access: yesSSRN Electronic Journal, 2010
We analyze a long-term contracting problem involving common uncertainty about a parameter capturing the productivity of the relationship, and featuring a hidden action for the agent. We develop an approach that works for any utility function when the parameter and noise are normally distributed and when the effort and noise affect output additively. We
Julien Prat   +2 more
openaire   +7 more sources

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós   +11 more
wiley   +1 more source

Fine-grained uncertainty relation under the relativistic motion [PDF]

open access: yesEurophysics Letters, 122 (2018) 60001, 2014
Among various uncertainty relations, the profound fine-grained uncertainty relation is used to distinguish the uncertainty inherent in obtaining any combination of outcomes for different measurements. In this Letter, we explore this uncertainty relation in relativistic regime.
arxiv   +1 more source

Uncertainties of Parameters Quantification in SHM

open access: yes8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022
The uncertainties of parameters quantification due to various known and unknown conditions are crucial to understand structural health monitoring (SHM) systems. For instance, the amplitudes and the variation of loading conditions play a vital rule how the structural parameters are going to be changed.
Miah, Mohammad, Lienhart, Werner
openaire   +2 more sources

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