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Year: 2014, Volume: 14, Number: 1
... — adaptive neuro-fuzzy inference system, This document presents the modeling and prediction energy forecast, genetic algorithm, intelligent ... ] developed the ANFIS technique that An implementation of a model based on Artificial Neural could overcome the shortcoming of ... being operating in an automotive (i.e., regression models, ANN-based models, Genetic manufacturing plant. It ...
Year: 2016, Volume: 16, Number: 1
... the correct simulation of the perspective; however, fault modeling capability is low. RTL system, according to ... for a single entity, while in Verilog, a model checking using PRISM is used for deriving the different ... description is employed. reliability at RTL. Thus, this approach uses SFI for low 2.2. Saboteurs – ...
Year: 2023, Volume: 23, Number: 1
... . 1-6. doi:10.1109/BMSB.2014.6873524 applications to modeling and control," IEEE Transactions on Systems, ... HTBT: A Hybrid DASH Adaptation Algorithm Using Takagi-Sugeno-Kang Fuzzy Model Radenko BANOVIC1, Dragan KUKOLJ1,2, Ilija ... D. Kukolj, "Design of adaptive Takagi-Sugeno-Kang fuzzy models", [20] D. J. ...
Year: 2023, Volume: 23, Number: 3
... proposed in [12] updates the candidate moment by modeling Based on this, Reference [5-6] coincidentally ... In the current multimedia era, video has become an model matching network to implement the interaction essential recording and ... network based on text learning-based methods. Considering that previous models multi-semantic clues guidance, including text feature do not ...
Year: 2010, Volume: 10, Issue: 2
... . [7] Vladan P. Vujiucic, "Modeling of a Switched Reluctance Machine Based on the Invertible ... offer. When compared with DC proposes a new numerical model of a Linear Switched drives the absence of brushes ... process continues. (20). Through the proposed models it is possible to compute MMFestimation  2 airgap ...
Year: 2021, Volume: 21, Number: 3
... the the requirements, there are plenty of tools for modeling, analyzing, and validating the requirements. It ... , the verification can be achieved by analysis of the model of a II. FUNDAMENTALS OF THE VERIFICATION-BASED LANGUAGE ... language, G. Existing DSL Testing Tools where the models are used to analyze the system, create, ...
Year: 2020, Volume: 20, Number: 4
... : 2011 IEEE 7th International Conference on Wireless and Mobile Modeling and Simulation of Computer Networks and Systems. pp ... the proposed when other known schedulers exceeded the maximum delay model, even though the proposed scheduler can be applied ... Such servers can support different scheduling disciplines and different traffic models. In the case of an LR scheduler, ...
Year: 2014, Volume: 14, Number: 2
... it results (Fig. 3) a combined The modeling procedure is the same for both blunting serial and ... aspect, other independent variables that II. THE MATHEMATICAL MODEL OF THE BLUNTING determine the position in each tank ... these do not introduce non-linearity [22] in their models, due to the big volume of the tanks ...
Year: 2021, Volume: 21, Number: 2
... theory", encountered problems can be addressed to the modeling of evolving toward artificial intelligence applications, non-linear, ... is based on densities that are implemented to any state model [7]. In the simultaneous usage of ... , and E. J. Delp, "New models for real-time tracking using 2012, vol. 3 ...
Year: 2013, Volume: 13, Number: 2
... computational load between GPC obj computer and RCE – the modeling tools or profilers, tcompile- duration of computer ... divides this program into the computer should automatically generate a model APPM from the subprogram PGPC and RCE subprogram PRCE ... Introduction to Reconfigurable Computing: • development of the interaction models of SCCS software Architectures, Algorithms, and Applications ...
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