Results 211 to 220 of about 729,060 (268)
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
An optimization method for flexible interconnection planning based on improved CNN-LSTM prediction and tunable relative entropy-driven chaotic evolution. [PDF]
Zhao X +5 more
europepmc +1 more source
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Economics Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Duc, Julien, Poirier, Côme
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Duc, Julien, Poirier, Côme
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Optimization on parametric model
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with large number of weights consume considerable storage and memory bandwidth. To address this limitation, pruning is an effective way to compress neural networks with high accuracy.
Fenfen Huang, Wenbin Yao
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On optimal modeling of systems
Journal of Optimization Theory and Applications, 1973A procedure, based on Sard's generalized spline, for modeling a linear system by an optimal finite-dimensional system is presented. Error bounds are given and the results are illustrated by means of two examples.
de Figueiredo, R. J. P. +2 more
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996
Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification.
Witold Pedrycz +1 more
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Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification.
Witold Pedrycz +1 more
openaire +2 more sources
Seminars in Perinatology, 2008
Abnormal fetal growth is associated with preterm birth, stillbirth, neonatal death, respiratory distress syndrome, and necrotizing enterocolitis. An optimal fetal growth standard would be one that most correctly identifies the fetus at risk for poor perinatal outcome.
Shane, Reeves, Ira M, Bernstein
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Abnormal fetal growth is associated with preterm birth, stillbirth, neonatal death, respiratory distress syndrome, and necrotizing enterocolitis. An optimal fetal growth standard would be one that most correctly identifies the fetus at risk for poor perinatal outcome.
Shane, Reeves, Ira M, Bernstein
openaire +2 more sources

