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Toplam kayıt 17, listelenen: 1-10
Single active device metamutator; Its application to impedance simulation and in particular to FDNR
(IEEE, 2017)
he proposed Metamutator configuration employs only one Fully Differential Current Conveyor (FDCCII) which has 9 terminals including ground. By properly interconnecting these terminals a 4-port Metamutator is obtained without ...
CIM a current inverting metamutator and its application to universal filters among others
(IEEE, 2017)
A new kind of metamutator namely "Current Inverting Metamutator," its realizations using different types of active blocks and some of its applications are given in this paper. As a classical application of the metamutator ...
Subset selection for tuning of hyper-parameters in artificial neural networks
(IEEE, 2017)
Hyper-parameters of a machine learning architecture define its design. Tuning of hyper-parameters is costly and for large data sets outright impractical, whether it is performed manually or algorithmically. In this study ...
A new approach for named entity recognition
(IEEE, 2017)
Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP ...
Thermoacoustic image reconstruction based on layered tissue model
(SPIE-Int Soc Optical Engineering, 2017)
We derived analytical forward and inverse solution of thermoacoustic wave equation for inhomogeneous multi layered planar and cylindrical mediums with the source distribution existing in all layers. These solutions are ...
Cross-sectional thermoacoustic imaging using multi-layer cylindrical media
(IEEE, 2017-11-10)
For cross-sectional two-dimensional thermoacustic imaging of breast and brain, we explored solution of the wave equation using layered tissue model consisting of concentric annular layers on a cylindrical cross-section. ...
Shallow parsing in Turkish
(IEEE, 2017)
In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish.
Optimal power allocation in NOMA systems with imperfect channel estimation
(IEEE, 2017)
Non-orthogonal multiple access is a promising technology for the fifth generation systems which exploits the power domain to achieve higher spectral efficiency. The performance of NOMA techniques are usually investigated ...
An experimental evaluation of prior polarities in sentiment lexicons
(IEEE, 2017)
We present the results of an experiment to assess the validity of prior polarities available in sentiment lexicons. We designed a ranking task that was elicited through pairwise comparisons and compared the results to those ...
Improving semantic segmentation with generalized models of local context
(Springer International Publishing AG, 2017)
Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local ...