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Importancia y eficacia de los medios y recursos didácticos.
(2012)El proceso de enseñanza-aprendizaje implica que el docente desarrolle su labor de guía y orientador al alumno, que constituye el motor de la educación. Para ella la actividad educativa debe buscar distintas herramientas ... -
Importancia y vigencia de Stanislavski
(Nueva Revista, 03/2013)Sergueievich Alexeiev en una visita a París en 1883 quedó fascinado por un poeta llamado Stanislavski, hasta el punto de apoderarse de su nombre, que utilizaría durante toda su vida el director de escena ruso como pseudónimo. ... -
Importancia, evolución y repercusión de las RRSS en la campaña electoral
(12/07/2016)Las nuevas tecnologías de la información y la comunicación se han convertido en las protagonistas indiscutibles de todo tipo de actividad del hombre. La política no ha quedado al margen de este proceso, de hecho, la actividad ... -
Impresión en 3D para la enseñanza de la geometría en 5º de primaria
(29/01/2016)El presente trabajo tiene la finalidad de estudiar las posibilidades del uso de nuevas herramientas de diseño como son las impresoras en 3D como apoyo a la compresión de la geometría, así como para la realización de ... -
Impression Management Tactics and Performance Ratings: A Moderated-Mediation Framework
(Journal of Business to Business Marketing, 2017)Purpose: The objective of this study is to contribute to the sales management literature by analyzing whether self-monitoring dimensions (the ability to adjust the presentation of one's self and the sensitivity to the ... -
La impronta de las políticas de gestión de archivos en la labor formativa de los medios. Estudio comparativo de las radios líderes en España y Portugal
(Estudios Sobre el Mensaje Periodistico, 2018)La comunicación mediática actual asume la inmediatez en detrimento de la contextualización, hecho que a la larga pone en riesgo la memoria informativa del ciudadano y parte de la labor formativa de los medios. En este ... -
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. ... -
Improved convergence analysis for Newton-like methods
(Numerical Algorithms, 04/2016)We present a new semilocal convergence analysis for Newton-like methods in order to approximate a locally unique solution of an equation in a Banach space setting. This way, we expand the applicability of these methods in ... -
Improved Differential Evolution Algorithm for Parameter Estimation to Improve the Production of Biochemical Pathway
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)This paper introduces an improved Differential Evolution algorithm (IDE) which aims at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. ... -
Improved GWO Algorithm for UAV Path Planning on Crop Pest Monitoring
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)Agricultural information monitoring is the monitoring of the agricultural production process, and its task is to monitor the growth process of major crops systematically. When assessing the pest situation of crops in this ... -
Improved hybrid fuzzy logic system for evaluating sustainable transportation systems in smart cities
(Inderscience Publishers, 2021)Modern times are required for smart cities to have sustainable transport systems. In several years the number of transport operations has increased considerably and the development is expected to increase in the years to ... -
Improved local convergence analysis of the Gauss-Newton method under a majorant condition
(Computational Optimization and Applications, 03/2015)We present a local convergence analysis of Gauss-Newton method for solving nonlinear least square problems. Using more precise majorant conditions than in earlier studies such as Chen (Comput Optim Appl 40:97-118, 2008), ... -
Improved Mitigation Method for the Multipath Delays of BDS-3 Code Observations with the Aid of a Sparse Modeling Algorithm
(Hindawi Limited, 2021)Global navigation satellite systems are essential for positioning, navigation, and timing services. The quality and reliability of satellite observations determine the system performance, especially in the case of the newly ... -
Improved Noise Immunity for Two-Sample PLL Applicable to Single-Phase PFCs
(2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics, COMPEL 2021, 2021)Synchronization in a single-phase Power Factor Correction (PFC) is deteriorated, among others, by the combination of the noise introduced by the grid voltage sensing, conducted EMI, the ADC resolution and the sampling ... -
Improved semilocal convergence analysis in Banach space with applications to chemistry
(Journal of Mathematical Chemistry, 2017)We present a new semilocal convergence analysis for Secant methods in order to approximate a locally unique solution of a nonlinear equation in a Banach space setting. Our analysis includes the computation of the bounds ... -
Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ... -
Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ... -
Improvement in educational performance through wearable-based flow predictive models
(Proceedings - JICV 2022: 12th International Conference on Virtual Campus, 2022)Flow Theory has been used to study motivation in educational activities. However, few studies use physiological data to uncover unknown aspects of said data in any context, and isolated individuals are involved as well. ... -
Improvement in Quality of Service Against Doppelganger Attacks for Connected Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)Because they are in a high-risk location, remote sensors are vulnerable to malicious ambushes. A doppelganger attack, in which a malicious hub impersonates a legitimate network junction and then attempts to take control ... -
Improvement in the EFL Learning Process in VET Studies. A Structural Equations Model of Affective Variables: English Language Anxiety, Willingness to Communicate and Self-efficacy in English
(LEARN Journal: Language Education and Acquisition Research Network, 2024)Vocational Education and Training (VET) is undergoing an international and national improvement process in order to achieve internationalization, among others. To this end, it is necessary to optimize the EFL level of VET ...