Aplicación de simulaciones de marketing estratégico digital como herramienta para mejorar el desempeño académico en Educación Superior

Subjects: “…Computer Science & IT…”
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Poder competitivo en empresas de base tecnológica en Baja California: Un análisis cualitativo desde la hermenéutica

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Sistema digital de gestión clínica con inteligencia artificial para mejorar la atención en emergencias del Hospital General Esmeraldas Sur

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Saberes y lenguas ancestrales en la era digital: IA para didáctica y equidad educativa en Jipijapa

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Modelo estadístico computacional para el análisis predictivo del rendimiento académico en entornos educativos digitales

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Evaluación de modelos de lenguaje pequeños en la generación de contenido orientado a la sostenibilidad

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Inteligencia computacional del GMT y R para el modelado de la sismicidad en Cuba

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Integración de laboratorios virtuales para potenciar la enseñanza de química en Instituciones Educativas del Sur de Manabí

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Performance Analysis of Regular and Irregular Horizontal Multi-Story Buildings Structure

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Emotion Recognition in Javanese Music: A Comparative Study of Classifier Models with a Human-Annotated Dataset

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Red phosphor color-converted film with TIO2 producing white light emitting diodes

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Enhancement of the utilization of electric vehicle charging stations in a commercial distribution network

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Credit card fraud classification using applied machine learning – a comparative study of 24 machine learning algorithms

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Probabilistic assessment of seismic vulnerability and retrofitting decisions using bayesian analysis for reinforced concrete structures

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Simple thermal decomposition route to size-tunable cobalt(II) oxide and cobalt(II,III) oxide nanoparticles for nanoelectronic devices

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Modeling of defensive actions for protecting military and civilian facilities from massive wave attacks by enemy strike drones

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The impact of the number representation format in parameterized text queries on the accuracy of 3D model generation

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Models for industry differentiation in decision-making systems with an application to the Ukrainian economy

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Empirical evaluation of feature selection and machine learning techniques to recommend clones for software refactoring

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A bayesian-driven feedforward neural network model for Kafka cluster latency forecasting

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