Results 41 to 50 of about 9,758 (260)
Formulation of Two-Stage Stochastic Programming with Fixed Recourse [PDF]
, 2019 Stochastic Programming is an asset for the next world researchers due to its uncertainty calculations, which has been skipped in deterministic world experiments as it includes complicated calculations.
Hashnayne Ahmed
core +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
Towards Stochastic Optimization-Based Electric Vehicle Penetration in a Novel Archipelago Microgrid
Sensors, 2016 Due to the advantage of avoiding upstream disturbance and voltage fluctuation from a power transmission system, Islanded Micro-Grids (IMG) have attracted much attention.
Qingyu Yang +4 more
doaj +1 more source
Conditioning of linear-quadratic two-stage stochastic optimization problems [PDF]
, 2013 In this paper a condition number for linear-quadratic two-stage stochastic optimization problemsis introduced as the Lipschitz modulus of the multifunction assigning to a (discrete) probabilitydistribution the solution set of the problem. Being the outer
Henrion, René +2 more
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Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
AlgorithmsDue to the challenges associated with the application of existing two-stage optimization methods in energy system capacity configuration, such as uncertainty scenario generation, multi-timescale coupling, and balancing economic and environmental benefits,
Haitao Li +4 more
doaj +1 more source
Multi-Objective Stochastic Programming in Microgrids Considering Environmental Emissions [PDF]
Journal of Operation and Automation in Power Engineering, 2020 This paper deals with day-ahead programming under uncertainties in microgrids (MGs). A two-stage stochastic programming with the fixed recourse approach was adopted.
K. Masoudi, H. Abdi
doaj +1 more source
Decision Rule Bounds for Two-Stage Stochastic Bilevel Programs [PDF]
SIAM Journal on Optimization, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ihsan Yanikoglu, Daniel Kuhn
openaire +2 more sources
Two stage stochastic equilibrium problems with equilibrium constraints: modeling and numerical schemes [PDF]
, 2010 This paper presents a two stage stochastic equilibrium problem with equilibrium constraints (SEPEC) model. Some source problems which motivate the model are discussed. Monte Carlo sampling method is applied to solve the SEPEC. Convergence analysis on the
Xu, Huifu, Zhang, Dali
core
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 +8 more
wiley +1 more source