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Year: 2018, Volume: 18, Number: 4
... train features, or specific expert knowledge. The main features of and evaluate our model. To solve the overfitting problem caused by training the network on a limited ... performance than other existing visual recognition method based on video processing. A chromatically-based CNN models for the recognition of fire and smoke in static decision rule and diffusion-based dynamic ...
Year: 2018, Volume: 18, Number: 4
... systems. In the SU scenario, the hybrid SU algorithm is II. SYSTEM MODEL FOR SINGLE-USER proposed. The common analogue precoding matrix is A. SIGNAL MODEL ... of this paper is organized as follows. Section 2 and 3 introduce the system models for SU and MU transmitted at subcarrier k, and normalized as E ƒs ...
Year: 2018, Volume: 18, Number: 4
... ] D. Sylvester and Chenming Wu, "Analytical modeling and effective in correcting nonuple errors and consumes less ... approach [18] have authors have proposed an indicator model to analyze the been ripped out by triplication-error correction ... 5m,9) overcomes the deficit of calculation. Remodeling of error Pt(5m,1 ), ...
Year: 2018, Volume: 18, Number: 4
... optimum number of DG units installed in the distribution mathematical model for the calculation of power line losses network with ... or ordinal). Decision Tree builds classification or regression models in the form of a tree structure. It ... voltage profile and energy losses", 2015 IEEE European Modelling Symposium, pp. 260 €“ 265, 6 ...
Year: 2018, Volume: 18, Number: 4
... Joel, R. Sivakumar, "An extensive review on despeckling of novel variational model," EURASIP Journal on Image and Video medical ultrasound images using various transformation ... , T. Nabil, M. Altanji, "On some new non-linear diffusion models for the image filtering. Applicable Analysis," vol. REFERENCES 93, ...
Year: 2018, Volume: 18, Number: 4
... review of some fault patterns is presented as well as the development of a scale model (FFT) and other signal processing procedures. There are laboratory to simulate ... mechanical problem in the signature analysis to induction motors," in Induction Motors €” Modelling and Control, Rui Araujo, Eds., Rijeka, Croatia: InTech ...
Year: 2018, Volume: 18, Number: 4
... of interest that is spanned by a set techniques. In Section 3 the system model and performance P € p1, p2, ‹, p N ... Gaussian random variable The performance metrics used for evaluating localization with standard deviation ƒ that models fading and PAF is the performance of the algorithms are described next. partition ...
Year: 2018, Volume: 18, Number: 4
... ] H. T. Kahraman, "Metaheuristic linear modeling technique for motor drives," Neural Comput. ... Computer Engineering Volume 18, Number 4, 2018 Simplified Model and Genetic Algorithm Based Simulated Annealing Approach for Excitation ... [28], GA is utilized for the ANN models based on the emulating of human nerve design of ...
Year: 2018, Volume: 18, Number: 4
... ANN has gained these abilities from humans selected as the output parameters for the neural model. The to systems, it forms the mathematical model of a large training ... study, to evaluate II. ARTIFICIAL BEE COLONY ALGORITHM the performance of the ANN models, the Mean Squared Artificial Bee Colony (ABC) algorithm that is an ...
Year: 2018, Volume: 18, Number: 4
... algorithm finds solutions for optimization problems chaotic system. by modeling hunting behaviors of humpback whales. A. Chaotic ... ]. Therefore, circle map, which is also model consists of 3 sections; encircling prey, spiral ... the types of problems. For International Journal of Mathematical Modelling and Numerical Optimization, vol. 1, no ...
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