Results 71 to 80 of about 8,794,560 (381)
Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming [PDF]
arXiv, 2022 Convex optimization finds many real-life applications, where--optimized on real data--optimization results may expose private data attributes (e.g., individual health records, commercial information), thus leading to privacy breaches. To avoid these breaches and formally guarantee privacy to optimization data owners, we develop a new privacy-preserving
arxiv
Development of an Ant Colony Optimization Algorithm to improve Maintenance Process Efficiency [PDF]
, 2010 Efficient maintenance policies are of fundamental importance because of their fallbacks into the safety and economics of air traffic operations. Usually the optimization of maintenance process is limited to a resource optimization in position and number.
D'AMATO, EGIDIO +2 more
core
Oracle-Based Robust Optimization via Online Learning [PDF]
, 2014 Robust optimization is a common framework in optimization under uncertainty when the problem parameters are not known, but it is rather known that the parameters belong to some given uncertainty set.
Ben-Tal, Aharon +3 more
core +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Scientific Reports, 2023 Modern microwave devices are designed to fulfill stringent requirements pertaining to electrical performance, which requires, among others, a meticulous tuning of their geometry parameters.
Slawomir Koziel, Tanveerul Haq
doaj +1 more source
Complexity of near-optimal robust versions of multilevel optimization problems [PDF]
, 2020 Near-optimality robustness extends multilevel optimization with a limited deviation of a lower level from its optimal solution, anticipated by higher levels. We analyze the complexity of near-optimal robust multilevel problems, where near-optimal robustness is modelled through additional adversarial decision-makers.
arxiv +1 more source
Designing Algorithms for Optimization of Parameters of Functioning of Intelligent System for Radionuclide Myocardial Diagnostics [PDF]
, 2016 The influence of the number of complex components of Fast Fourier transformation in analyzing the polar maps of radionuclide examination of myocardium at rest and stress on the functional efficiency of the system of diagnostics of pathologies of ...
Dovbysh, A. (Anatoly) +3 more
core
Optimal Gaps in Optimal Paradigms
Catalan Journal of Linguistics, 2005 This article develops a treatment of phonologically motivated gaps in paradigms within Optimal Paradigms Theory (McCarthy 2001). The gaps are instances of absolute ungrammaticality, i.e. situations in which there is no output for a given input. In the approach developed here, gaps arise when phonological markedness constraints outrank constraints ...
openaire +6 more sources
FEBS Letters, EarlyView.Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard +7 more
wiley +1 more source
IEEE Access, 2020 In recent decades, moisture evaluation of transformer oil-immersed cellulose insulation has been widely studied by using the frequency domain spectroscopy (FDS) technique.
Jiefeng Liu +4 more
doaj +1 more source