Titlebook: I+D for Smart Cities and Industry; Proceedings of RITAM Marcelo Zambrano Vizuete,Miguel Botto-Tobar,Ana Za Conference proceedings 2023 The

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書目名稱I+D for Smart Cities and Industry影響因子(影響力)




書目名稱I+D for Smart Cities and Industry影響因子(影響力)學(xué)科排名




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書目名稱I+D for Smart Cities and Industry網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱I+D for Smart Cities and Industry被引頻次學(xué)科排名




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書目名稱I+D for Smart Cities and Industry年度引用學(xué)科排名




書目名稱I+D for Smart Cities and Industry讀者反饋




書目名稱I+D for Smart Cities and Industry讀者反饋學(xué)科排名

Occipital-Lobe

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Learning Model Predictive Control in a Virtual Environment Through a Practical Case: A Continuous Stirred tank reactor (CSTR). The control algorithm was developed from a linearity process to regulate the CSTR at the operation point. The MPC optimization took the temperature in the jacket and the molar concentration as the control objectives. The final version of the virtual platform presented flex

Connotation

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CFD Evaluation of an Adaptable Protective Cabinet for Patients with Infectious-Contagious Diseasestact with infected patients, their blood or their secretions. In this sense, the objective of this study is to analyze the design and manufacture of a prototype of a safe cabin for patient care, in order to protect the lives of health personnel and the need to adapt to the coronavirus crisis. In thi

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Evaluation of Data Acquisition System for PES Membranes Permeability Analysis in Water Treatmente are limited studies related to the technology of automatic data acquisition systems (DAQ) for the analysis of pore fouling based on the permeability of the membranes. Thus, the objective of this research was to evaluate a DAQ system through its implementation in permeability tests of polyethersulf

做作

Design and Implementation of a Three-Phase Analyzer in a Free Software Platform for Power Quality Mefrom basic quantities such as voltage, current or power to complex parameters such as harmonic content or power factor. Energy analyzers are too expensive instruments due to the high technological development involved in their manufacture. For this reason, this article shows an alternative in which

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Electrical Consumption Optimization Based on Clustering of Consumers’ Data Applying K-Means Algoritheeds for preparing the actual electrical infrastructure to reach higher demands. In this paper, the optimization of consumer’s data is performed through metaheuristic methods. The first step was to determine the higher electricity consumers from K-means algorithm. After identifying the data to be op