Results 41 to 50 of about 19,179,679 (309)
Dissipativity preserving model reduction by retention of trajectories of minimal dissipation [PDF]
, 2009 We present a method for model reduction based on ideas from the behavioral theory of dissipative systems, in which the reduced order model is required to reproduce a subset of the set of trajectories of minimal dissipation of the original system.
Paolo Rapisarda +12 more
core +2 more sources
Model reduction for a power grid model
Journal of Computational Dynamics, 2022 <p style='text-indent:20px;'>We examine the complexity of constructing reduced order models for subsets of the variables needed to represent the state of the power grid. In particular, we apply model reduction techniques to the DeMarco-Zheng power grid model. We show that due to the oscillating nature of the solutions and the absence of timescale
Jing Li, Panos Stinis
openaire +4 more sources
State-space reduction and equivalence class sampling for a molecular self-assembly model [PDF]
Royal Society Open Science, 2016 Direct simulation of a model with a large state space will generate enormous volumes of data, much of which is not relevant to the questions under study.
Daniel M. Packwood +2 more
doaj +1 more source
Sensors, 2022 This study presents iterative optimal sensor placement (OSP) techniques using the modal assurance criterion (MAC) and the effective independence (EI) algorithm.
Eun-Taik Lee, Hee-Chang Eun
doaj +1 more source
Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
Approximate MLD System Model of Switched Linear Systems for Model Predictive Control
SICE Journal of Control, Measurement, and System Integration, 2017 In this paper, to reduce the computation time for solving the finite-time optimal control problem (i.e., the model predictive control (MPC) problem), an approximate model of switched linear systems is proposed.
Shin Kanazawa +2 more
doaj +1 more source
Mathematics, 2023 Transformer-based models for action segmentation have achieved high frame-wise accuracy against challenging benchmarks. However, they rely on multiple decoders and self-attention blocks for informative representations, whose huge computing and memory ...
Zhichao Ma, Kan Li
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager +8 more
wiley +1 more source
Dynamic Maximum Entropy Reduction
Entropy, 2019 Any physical system can be regarded on different levels of description varying by how detailed the description is. We propose a method called Dynamic MaxEnt (DynMaxEnt) that provides a passage from the more detailed evolution equations to equations for ...
Václav Klika +3 more
doaj +1 more source