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Toplam kayıt 107, listelenen: 61-70
Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony
(Elsevier Science Bv, 2015)
This study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned ...
The Effect of Dictionary Learning Algorithms on Super-resolution Hyperspectral Reconstruction
(Ieee, 2015)
The spatial resolutions of hyperspectral images are generally lower due to imaging hardware limitations. Super-resolution algorithms can be applied to obtain higher resolutions. Many algorithms exist to achieve super-resolution ...
The use of different nanoparticles as carriers in gene silencing
(Elsevier Science Bv, 2016)
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Sparse Representation-based Dictionary Learning Methods for Hyperspectral Super-Resolution
(Ieee, 2016)
Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super-resolution hyperspectral imagery by means of sparse representation-based methods that are designed for improving spatial ...
Evaluation of IgE test results in clinical practice
(Wiley-Blackwell, 2016)
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Design and Implementation of a Basic Microcomputer for Educational Purpose
(Ieee, 2016)
Today, most of electronic equipments includes at least one microcomputer. Microcomputers control the operation of electronic devices and to provide the required operations. The microcomputer has a constantly developing and ...
Do obsessive compulsive disorder patients have difficulty forming an internal model of the completed state of an action?
(Elsevier Science Bv, 2016)
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Structural Depth Estimation Via Depth Maps Of 3 Dimensional Videos
(Ieee, 2016)
3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for researchers working in this area. The reason is there isn't any well accepted and standardized VQA method for 3 Dimensional (3D) as for ...
Latent Semantic Analysis via Truncated ULV Decomposition
(Ieee, 2016)
Latent semantic analysis (LSA) usually uses the singular value decomposition (SVD) of the term-document matrix for discovering the latent relationships within the document collection. With the SVD, by disregarding the ...