Titlebook: Intelligent Technologies: Design and Applications for Society; Proceedings of CITIS Vladimir Robles-Bykbaev,Josefa Mula,Gilberto Reyno Conf

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Víctor Huilcapi,Ricardo Cajo,Jorge Orellana,Alex Cascantedue to educational lag, which is proposed by the National Council for the Evaluation of Social Development Policy (CONEVAL) in its multidimensional poverty analysis methodology in Mexico. The data obtained to carry out this work were recovered from the databases generated by the National Institute o

stressors

Bruno Alcívar-Cruz,Joe Llerena-Izquierdo. However, since 2000 oil production in Mexico has been seriously affected due to unfavorable national economic and institutional aspects, and adverse international conditions. After being the sixth largest petroleum producer in 2000 (3,460 barrels per day), in 2019, Mexico occupied the fourteenth p

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Daysi Baño Morales,Nelly Rosas-Laverde,Cristian Santacruzesearch field from hot flames to ultracold atoms. And I went from applied physics to fundamental physics. I had enjoyed applied research in Germany. In combustion diagnostics, it is easy to explain what motivates you (clean environment, efficient combustion) and you receive a lot of acknowledgement

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Javier Molina,María Yugcha,William Montalvo should tackle challenges relating to the distractions that Introduction; Part I. Educational Technology Beyond Learning; Educational Technology – Expectations and Experiences: An Introductory Overview; ICT and Education Beyond Learning: A Framework for Analysis, Development and Critique; Part II. E

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Andres Ortega,Juan Inga,Diego Lamadrid Education Beyond Learning: A Framework for Analysis, Development and Critique; Part II. Educational Technology in Schools; Educational Technology in Schools: Policymaking and Policy Enactment; What Explains Pupils’ Perceived Motivational Conflict between Academic Work and Off-Task Behaviour in Tech

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Conference proceedings 2023 to industry, mobility, telecommunications, biomechanics, among others...The innovative character of the text allows relating technical experiences and advances that seek to improve the implication of new technologies at local, national and regional levels, demonstrating the advances towards the dif

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Nonlinear Identification and Position Control of a Pneumatic System possible time and with the least steady state error. The results show that the Hammerstein-Wiener model identified for the system satisfactorily characterizes its nonlinear dynamics. The MPC is more efficient to control the system compared to the other controllers as it has less steady state error and stabilizes the system faster.

Flounder

Classification of Mechanical Failures in Provoked Ignition Engine by Means of ANN and SVMated that allows a selection and reduction of variables with the application of methods based on the Random Forest architecture. Subsequently, an ANN (artificial neural network) and an SVM (support vector machine) was created and trained, from which a classification error value of 0.1267% and 0.0067%, respectively, was obtained.