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Year: 2016, Volume: 16, Number: 3
... 3D- this end, this paper presents a data-driven modeling approach FEM) simulations during the design and verification ... electromagnetic fields and the thermal behavior configuration of the data-driven model. Finally, the complete of substation connectors [ ... , 2016 Thermal Response Estimation in Substation Connectors Using Data-Driven Models Francisco GIACOMETTO1, Francesca CAPELLI2, LuÃs ROMERAL1, ...
Year: 2019, Volume: 19, Number: 3
... using ray tracing [10]. Recently, channel modeling for the network comprises a wireless backhaul switch, ... 19, Number 3, 2019 Estimation of Spatial Channel Model in a Wireless Ultra-Wide-Area Backhaul Network using the Deterministic ... Outline of the ultra-wide-area backhaul network Index Terms — channel models, microwave propagation, temporal parameters. Channel coefficients ...
Year: 2013, Volume: 13, Number: 3
... ., Index Terms — EGCS, intelligent control, modeling, optimal Simultaneous Perturbation Stochastic Approximation scheduling, traffic ... , 2013 Group Elevator Peak Scheduling Based on Robust Optimization Model Jinglong ZHANG, Qun ZONG College of Electric Engineering ... . Hoteit, "Simultaneous perturbation stochastic approximation for tidal models," Ocean peak flows is realized by the ...
Year: 2020, Volume: 20, Number: 3
... in Procedia Manufacturing, 39, resource utilization through queueing modeling and evolutionary 1864-1871, 2019, doi: 10.1016 ... 2020 An Artificial Immune System Approach for a Multi-compartment Queuing Model for Improving Medical Resources and Inpatient Bed Occupancy in ... [9]. Some works tacked with introducing queuing models, Hospital managers must tackle with an increase in ...
Year: 2017, Volume: 17, Number: 1
... the simulation model and realized circuit, (b) modeling error Figure 2. The equivalent circuit diagram of ... the WEC and provide a and load. A simulation model for the whole system is stable voltage to the ... magnets can be There are several types of SC mathematical models used considered to have a sinusoidal form and the ...
Year: 2015, Volume: 15, Number: 1
... of electricity supply to consumers [4-5]. of modeling of the impact of geomagnetic storms of various The ... 445667, Russia V.Vahnina@tltsu.ru 1 Abstract — A model and an algorithm for the calculation of also called ... Volume 15, Number 1, 2015 The Development of Models for Assessment of the Geomagnetically Induced Currents Impact on ...
Year: 2017, Volume: 17, Number: 4
... response surface acceptable Pareto front (hyper-surface) approximation, modeling (RSM) to manage system-level constraints. consisting ... executed in our just 8 parameters of the magnetic actuator's model the design optimization process. space grows to more ... by Continental Automotive using design of experiments, response surface models, data- Systems, Sibiu branch using our ...
Year: 2019, Volume: 19, Number: 3
... and Computer Engineering Volume 19, Number 3, 2019 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium ... ) data-driven methods. Each one has its own advantages model are validated by NASA lithium-ion battery dataset. and ... avoid battery (2) Model-based methods: typical battery models involve over-charge and over-discharge [8-11]. The ...
Year: 2016, Volume: 16, Number: 2
... to pulses of different polarities and time periods. the modeling of memristor nanostructures," Circuits and Systems I ... Number 2, 2016 Quantitative Analysis of Memristance Defined Exponential Model for Multi-bits Titanium Dioxide Memristor Memory Cell Ahmad Alsayyid ... of 3-bits memory cell. Section Index Terms — analytical models, memristors, nonvolatile memory, SPICE, tunneling ...
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 ...
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