Listar por tema "decision-making"
Mostrando ítems 1-12 de 12
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A Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detection
(Lecture Notes in Networks and Systems, 2022)Attackers adapt their attacks to be more effective based on exploiting technical and human vulnerabilities. Social engineering attacks take advantage of human vulnerabilities considering that psychological factors could ... -
An approach for integrating uncertainty when selecting an anti-torpedo decoy in brand new warships
(Mathematical and Computational Applications, 03/2019)The Spanish Navy has planned that the F-80 frigates will be replaced by the brand new F-110 frigates in 2022. The F-110 program is in the conceptual design phase and one of the objectives is to provide the new F-110 frigate ... -
Análisis de la relación existente entre la inhibición y la toma de decisiones, en el desarrollo social de los estudiantes de secundaria entre los 14 y 16 años, en una institución educativa rural.
(01/2020)La cotidianidad de los contextos escolares, aparte de estar mediada por los contenidos académicos propios del quehacer educativo, también tiene implicaciones convivenciales y de desarrollo social que determinan ... -
Decision-Making in Gambling Disorder, Problematic Pornography Use, and Binge-Eating Disorder: Similarities and Differences
(Current behavioral neuroscience reports, 09/2020)Purpose of Review: The present review attempts to provide a comprehensive and critical overview of the neurocognitive mechanisms of gambling disorder (GD), problematic pornography use (PPU), and binge-eating disorder (BED), ... -
Disadvantageous Decision-Making as a Predictor of Drop-Out among Cocaine-Dependent Individuals in Long-Term Residential Treatment
(Frontier in Psychiatry, 11/2013)The treatment of cocaine-dependent individuals (CDI) is substantially challenged by high drop-out rates, raising questions regarding contributing factors. Recently, a number of studies have highlighted the potential of ... -
Evaluation methodology for mission-centric cyber situational awareness capabilities
(ACM International Conference Proceeding Series, 2020)The emerging need for cyber defence capabilities able to bring closer cyberspace supremacy in joint military operations has led defence practitioners to begin a cyber race where academy, researchers, industry and military ... -
Gobernanza del dato para la toma de decisiones municipales
(10/10/2023)Las entidades del sector público en especial las alcaldías de los municipios categorizados en cuarta a sexta categoría en Colombia que son la mayoría de los municipios del país, no cuentan con recursos suficientes, tanto ... -
Influence of physical fitness on decision-making of soccer referees throughout the match
(Heliyon, 2023)The purpose of this study was to analyze the relationships between physical fitness and physical performance in competition and the decision-making (successes and errors). A sample of 22 male national-level soccer referees ... -
Introducing the CYSAS-S3 Dataset for Operationalizing a Mission-Oriented Cyber Situational Awareness
(Sensors, 2022)The digital transformation of the defence sector is not exempt from innovative requirements and challenges, with the lack of availability of reliable, unbiased and consistent data for training automatisms (machine learning ... -
Make it happen! Estudio Primario de Mercado para mejorar la Toma de Decisiones en el Aprendizaje Basado en Proyectos de Física y Química de 3º ESO
(07/01/2023)La presente propuesta de intervención para la asignatura de Física y Química de 3º ESO pretende dar respuesta a la falta de motivación intrínseca del alumnado y al uso de descripciones analítico-matemáticas para fenómenos ... -
Perfilación criminal y toma de decisiones: el perfilador y el investigador
(21/09/2021)El presente trabajo observa los procesos involucrados en la creación de un perfil criminal y su relación con la toma de decisiones y posibles sesgos de los perfiladores e investigadores policiales. Para ello, se lleva a ... -
Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes
(2017 IEEE International conference on fuzzy systems (FUZZ-IEEE), 2017)Classification learning is a very complex process whose success and failure ratio depends on a high amount of elements. One of them is the representation mean used for the data that is employed in the process. Granularity ...
