Results 61 to 70 of about 825,885 (311)
Detecting Defects in Sequential Inputs to Digital Twins Using Machine Learning
IEEE Open Journal of Systems EngineeringThis article presents a method for detecting defects in sequential data inputs for digital twins (DTs) during simulations, emphasizing the importance of input validation for ensuring the accuracy and reliability of the simulation results.
Nathaniel Brown, Steven Simske
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
Sequential Data-Based Fault Location for Single-Line-to-Ground Fault in a T-Connection Power Line
EnergiesDue to the demand for temporary rapid grid connection in renewable energy power plants, the topology structure of T-connected power lines has been widely used in the power grid.
Lisheng Li +5 more
doaj +1 more source
Merging particle filter for sequential data assimilation [PDF]
Nonlinear Processes in Geophysics, 2007 A new filtering technique for sequential data assimilation, the merging particle filter (MPF), is proposed. The MPF is devised to avoid the degeneration problem, which is inevitable in the particle filter (PF), without prohibitive computational cost.
S. Nakano, G. Ueno, T. Higuchi
doaj
Piecewise multivariate modelling of sequential metabolic profiling data
BMC Bioinformatics, 2008 Background Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the sampling rate and number of sampling points are often restricted due to ...
Nicholson Jeremy K +6 more
doaj +1 more source
IJIE (Indonesian Journal of Informatics Education), 2022 The study aims to describe linear program problem-solving skills reviewed from sequential thinking styles and genders as schools implement online learning due to the covid-19 pandemic.
Adila Rahmah
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Horn axiomatizations for sequential data
Theoretical Computer Science, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José L. Balcázar, Gemma C. Garriga
openaire +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
A data mining approach to discovering reliable sequential patterns
, 2013 Sequential pattern mining is a data mining method for obtaining frequent sequential patterns in a sequential database. Conventional sequence data mining methods could be divided into two categories: Apriori-like methods and pattern growth methods.
Shyur, Huan-Jyh +1 more
core +1 more source