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100 articles for “Characteristic Method”
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Research ArticleOpen accessIn the abstractCorrelation of Some Tumor Markers Between Serum and Saliva of Patients with Breast CancerHuthaifa Tarawneh, Omar AtroozBreast cancer, which affects 36% of all female oncological patients, is the most frequent cancer in the world among women. Since routine laboratory evaluation of serum can be stressful for patients, it is critical to comprehend the features and limitations of salivary test methods in order to achieve an accurate diagnosis of breast cancer. The purpose of the study is … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 12 Oct 2024 · 4,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Time-Delayed Neural Networks via Rightmost Eigenvalue PositionsSun Yi, Sangseok Yu, Jung H. Kim, Taher M. Abu-LebdehNeural networks have been frequently used in various areas. In the implementation of the networks, time delays and uncertainty are present and known to lead to complex behaviors, which are hard to predict using classical analysis methods. In this study, stability and robust stability of neural networks considering time delays and parametric uncertainty is studied. For stability analysis, the rightmost … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 26 Jan 2015 · 8,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALISIS OF THE NONLINEAR DISTRIBUTED CONTROL SYSTEM'S SUSTAINABILITYAlexander B. Chernyshev, Karina V. Martirosyan, Alexander V. MartirosyanSystems' stability is the topical issue of control systems' development province. In this study the research of methodology of the nonlinear distributed control systems' stability assessment is conducted. Research of the standard distributed links' frequency surfaces is executed, limit characteristics of the parameters influencing by sight of spatial hodograph are investigated. The purpose of the work is to present the … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 11 Jul 2014 · 6,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY NEURAL NETWORKAbdul Haris RangkutiIn this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,683 accessesView PDFCite
Research ArticleOpen accessIn the abstractRETRACTED: Analysis of Interfering Substances in the Measurement of Malondialdehyde Content in Plant LeavesYunSheng Wang, MaoDi Ding, XunGang Gu et al.The Thiobarbituric Acid (TBA) reactive substances assay is an easy and quick assay for the assessment in plants of lipid peroxidation, in which Malondialdehyde (MDA) is derivatized. To analyze the applicability of this method, the MDA concentrations in the leaves of different plants were measured by the TBA method. To further separate the interfering substances, fractional extraction and Gas Chromatography-Mass … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 3 · 21 Sep 2013 · 9,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime-Delay Estimation using the Characteristic Roots of Delay Differential EquationsSun Yi, Wonchang Choi, Taher Abu-LebdehProblem statement: For ordinary dynamic systems (i.e., non-delayed), various methods such as linear least-squares, gradient-weighted least-squares, Kalman filtering and other robust techniques have been widely used in signal processing, robotics, civil engineering. On the other hand, time-delay estimation of systems with unknown time-delay is still a challenging problem due to difficulty in formulation caused. Approach: The presented method makes use … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 7 Apr 2012 · 8,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approximate Formula of European Option for Fractional Stochastic Volatility Jump-Diffusion ModelP. Sattayatham, A. IntarasitProblem statement: We presented option pricing when the stock prices follows a jumpdiffusion model and their stochastic volatility follows a fractional stochastic volatility model. This proposed model exhibits the a memory of a stochastic volatility model that is not expressed in the classical stochastic volatility model. Approach: We introduce an approximated method to fractional stochastic volatility model perturbed by the … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 27 Jul 2011 · 7,964 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus ImagesS. Kavitha, K. DuraiswamyProblem statement: Diabetic retinopathy is one of the most significant factors contributing to blindness and so early diagnosis and timely treatment is particularly important to prevent visual loss. Approach: An integrated approach for extraction of blood vessels and exudates detection was proposed to screen diabetic retinopathy. An automated classifier was developed based on Adaptive Neuro-Fuzzy Inference System (ANFIS) to differentiate … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,785 accessesView PDFCite