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This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence (AI) and data science...

El libro pretende hacer una revisión de las técnicas más habituales en Data Science, desde los modelos estadísticos de regresión lineal hasta aquellos más avanzados de redes neuronales, pasando por algoritmos y mod...

El libro está dirigido aquellos lectores que estén trabajando en proyecto relacionados con big data y busquen identificar las características de una solución de Big Data, los datos asociados a estas soluciones, la in...

The present study aimed to investigate the effectiveness of recreational citizen science in biodiversity monitoring. The goal was to evaluate whether a minimal training protocol can maintain data quality while engaging l...

In certain areas of animal research, such as nutrition, quantitative summarizations of literature data are periodically needed. In such instances, statistical methods dealing with the analysis of summary data (generally ...

Descubra cómo programar en blockchain y desarrolle sus propias DApps con ejemplos prácticos y soluciones reales Si quiere programar con la tecnología blockchain, necesita conocer diversos conceptos esenciales: constru...

El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

Desde hace unos años el interés por todo lo que rodea el marketing digital se ha incrementado exponencialmente, dando lugar a la aparición de nuevos entornos laborales y especializaciones. Son las empresas quienes dem...

This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence (AI) and data science...

The experiences of recent years have tested all public sectors, and society has faced challenges we would not have foreseen. This has transformed our society into one that is more global, resilient and sustainable, and w...

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other ...

Digital Scholar: Learning in the Age of Internet" is your gateway to a dynamic world where education and research flourish in the digital landscape. In an era defined by limitless information and global connectivity, thi...

El propósito del repertorio Fuentes de Información de América Latina ¿1964-2008 es presentar una guía selectiva y anotada que facilite : 1) el conocimiento y el acceso a información general y especializada que se u...

Security governance surrounding infectious diseases necessitates collaboration and information sharing among diverse actors, including nation-states and institutions. The Global Antimicrobial Resistance Surveillance Syst...

Abstract This study provides a bibliometric overview of the first decade of the Journal of Big Data (JBD) since its launch in 2014. Using bibliographic records for 1,023 articles and reviews indexed in Scopus (2014–202...

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science a...

ABSTRACT Background and Aims Chronic inflammation contributes to various chronic diseases, emphasizing the need for reliable biomarkers for early detection and understanding its causes. Measuring chronic inflammation pos...

Abstract Background A systematic review is a type of literature review that uses rigorous methods to synthesize evidence from multiple studies on a specific topic. It is widely used in academia, including medical and soc...

Digital phantoms are virtual representations of the human body used in medical research to test equipment, train medical professionals and develop or validate algorithms. These models can be created from ‘real-world’...

For many years, excitation-emission matrix (EEM) fluorescence spectroscopy has been a compelling analytical technique, fostering the development of multidimensional data analysis-based methods. Its applications span dive...

The analysis and modeling of educational data are of great significance to the evaluation of teaching quality and personalized learning guidance. However, the acquisition of academic data is often limited by the costs of...

Wild and managed bees are key pollinators, ensuring or enhancing the reproduction of a large fraction of the world's wild flowering plants and the yield of ∼85% of all cultivated crops. Recent reports of wild bee decli...

This Campbell systematic review examines the effects of deployment on mental health. The review summarizes evidence from 185 studies. All studies used observational data to quantify the effect of deployment. This review ...

This Campbell systematic review examines the effectiveness of farmer field schools in improving intermediate outcomes (such as knowledge and pesticide use) and final outcomes (such as agricultural yields, incomes and emp...