Results 11 to 20 of about 3,589,800 (295)
Modelling and performance evaluation of diode‐assisted impedance source networks
This paper deals with a family of two‐ and three‐windings coupled inductor‐based impedance source networks. They have been basically derived from the successful quasi‐Y‐source network (q‐YSN) by replacing one of its capacitors with a diode with different
Hamed Rezazadeh +2 more
doaj +1 more source
Smooth DC-Link Y-Source Inverters: Suppression of Shoot-Through Current and Avoiding DC Magnetism
The Y-source impedance network is truly referred to as the origin of the magnetically coupled impedance source inverters. The key characteristics, including high boost capability and design flexibility, are associated with the coupled inductor turn ratio.
Ali Nikbahar, M. Monfared
semanticscholar +1 more source
Background Y-chromosome DNA (Y-DNA) has been used for tracing paternal lineages and offers a clear path from an individual to a known, or likely, direct paternal ancestor. The advance of next-generation sequencing (NGS) technologies increasingly improves
Hao Chen +3 more
doaj +1 more source
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data [PDF]
Optical coherence tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate swept-source OCT ...
Yijie Zhang +7 more
semanticscholar +1 more source
Design and Analysis of High Gain Quasi Y - Source Impedance Network
In this paper, performance of a high gain quasi Y-source impedance network converter is analysed. This converter has a high voltage gain while using a small duty ratio. Compared to other impedance source converters, Y-source converter operates with lower shoot-through duty cycle for the same boosting gain.
DVN Ananth +5 more
openaire +1 more source
A Continuity Theory for Lossless Source Coding over Networks [PDF]
A continuity theory of lossless source coding over networks is established and its implications are investigated. In the given model, source and side-information random variables X and Y have finite alphabets, and the input sequences are drawn i.i.d ...
Bakshi, Mayank +2 more
core +1 more source
This study proposes a convolutional neural network based image translation framework to faithfully realize the super-resolution of radar sensor sparse measurement.
Jong-Hoon Kim, Ic-Pyo Hong
doaj +1 more source
In the electroencephalography (EEG) based cross-subject motor imagery (MI) classification task, the device and subject problems can cause the time-related data distribution shift problem.
Y. Chen +4 more
semanticscholar +1 more source
Lossless and near-lossless source coding for multiple access networks [PDF]
A multiple access source code (MASC) is a source code designed for the following network configuration: a pair of correlated information sequences {X-i}(i=1)(infinity), and {Y-i}(i=1)(infinity) is drawn independent and identically distributed (i.i.d ...
Effros, Michelle, Zhao, Qian
core +1 more source
There is no research on the study of Apis mellifera using bibliometrix tools. This study aims to determine the results of the study of Apis mellifera in a role perspective using Bibliometrix Tools.
Ida Yayu Nurul Hizqiyah +5 more
doaj +1 more source

