Results 101 to 110 of about 1,601,810 (338)

Classifying aircraft based on sparse recovery and deep-learning

open access: yesThe Journal of Engineering, 2019
A hybrid CS-DL method for aircraft classification in complex electromagnetic environment is introduced. To classify aircraft from interfered radar echoes, the authors propose a novel classification method based on compressed sensing (CS) and deep ...
Wang Wenying   +4 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic 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

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai   +4 more
wiley   +1 more source

High accuracy classification of EEG signal

open access: yesProceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004
Improving classification accuracy is a key issue to advancing brain computer interface (BCI) research from laboratory to real world applications. This article presents a high accuracy EEC signal classification method using single trial EEC signal to detect left and right finger movement.
Wenjie Xu   +5 more
openaire   +3 more sources

Comprehensive review of IDMs in DG systems

open access: yesIET Smart Grid, 2018
Distributed generation (DG) offers solution to the ever increasing energy needs by generating energy at the consumer end, in most cases, by means of renewable energy sources.
Santhosh K.G. Manikonda   +1 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

Method of inter-turn fault detection for next-generation smart transformers based on deep learning algorithm

open access: yesHigh Voltage, 2019
In this study, an inter-turn fault diagnosis method is proposed based on deep learning algorithm. 12-channel data is obtained in MATLAB/Simulink as the time-domain monitoring signals and labelled with 16 different fault tags, including both primary and ...
Lian Duan   +5 more
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

open access: yesFEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Signal Subgraph Estimation Via Vertex Screening

open access: yes, 2018
Graph classification and regression have wide applications in a variety of domains. A graph is a complex and high-dimensional object, which poses great challenges to traditional machine learning algorithms.
Badea, Alexandra   +4 more
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