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Year: 2023, Volume: 23, Number: 1
... due to the exponential increase in data requests through the centric network (CCN) model [4]. Internet. To support these activities, high-power computing Software-defined ... promising approach to support distributed cache ICN developing flexible networks. Studies about Information- models. Moreover, distributed applications based on the Centric Networks (ICN) propose ...
Year: 2009, Volume: 9, Issue: 1
... optimization, ACO is characterized by the use of a (parameterized) Metaheuristic probabilistic model that is used to generate solutions to the problem under consideration. The probabilistic ... linear contribute to good solutions can help to assemble them into programming solutions to imprecise models [1, 2]. The better solutions. advantages of such methods ...
Year: 2015, Volume: 15, Number: 4
... That is why, group are considered as candidates and other members are found classification model is model of the changed dataset. considered as regular members [18-21] ... classification rules mining performance are presented in whose class label is unknown. Many classification models Section 4; and Section 5 concludes the paper. have been proposed, ...
524. "energy management, graphical user interfaces, microgrids, renewable energy sources, SCADA systems"
Year: 2018, Volume: 18, Number: 1
... ]. Few researches have also reported the feature space because of its distributive feature model. The application of decision tree or random forest (RF) as robustness ... IV are good looking, but few base learners due to use of different learner models. On classes are poorly classified as highlighted in these Tables. contrary, ...
Year: 2020, Volume: 20, Number: 3
... will be compared.   M2  d irq M sr II. DYNAMIC MODELING OF THE DFIM AND THE FUZZY Vrd   Rr  sr  ird ... Oriented Control Till now, type-2 fuzzy logic systems have been used in The DFIM model can be described by the following state very few control applications such as nonlinear ...
Year: 2017, Volume: 17, Number: 3
... different irradiances point coming out of the PV module. Mathematical models are used to model the behaviour of the PV cell in terms of open circuit voltage, short ... Characteristic curves at four different irradiances point coming out of the PV module. Mathematical models are used to model the behaviour of the PV cell in terms of open ...
Year: 2022, Volume: 22, Number: 2
... ), which is attention-based joint segmentation module (ABJS) is proposed used to model the interaction between semantic and instance for combining semantic features and instance features in ... . Subsequently, numerous excellent instance predictions. PointGroup [18] proposed a clustering models for instance segmentation were proposed. The algorithm and applied it on the original ...
Year: 2022, Volume: 22, Number: 3
...  a2 (3) structure, saturation effect and excitation mechanism. The accurate modeling of SRM is the critical issue for capability The accuracy of the nonlinear inductance ... employed for reliable operation and lower cost. A more observer (SMO) based model is formulated for rotor position and speed estimations purpose. The performance of the ...
Year: 2013, Volume: 13, Number: 1
... of this paper presents the micromagnetic low anisotropy while hard magnets have high saturation, modeling tool used to compute and visualize the behavior of higher coercivity and high anisotropy ... imported. comparing the hysteresis loops obtained for the four shapes Then, the simulation model is set-up and the magnetic described in the previous section. The external magnetic ...
Year: 2023, Volume: 23, Number: 3
... and maximum segment size. Mathis et al. [27] have developed a model called the Mathis The RTT metric measures the time packets travel from Equation to ... them, and while routing in SDN. By identifying elephant flows and training classification models to classify the selected data applying different routing approaches to different flow sets with ...
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