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Subjects / keywords: Machine learning; Business; Data processing

Automático (Machine Learning). El objetivo del machine learning es que los sistemas informáticos sean capaces de aprender a partir de los datos, emulando de esta manera las capacidades humanas. El Aprendizaje Profundo ...

Subjects / keywords: Ordenadores; Lenguajes; Python

Subjects / keywords: Medicina

Subjects / keywords: Ordenadores; Inteligencia Artificial; General

This study presents a novel machine learning approach to assess human well-being through the analysis of brain wave activities. We developed a Random Forest classifier to categorize brain wave patterns into three states ...

Recent developments in artificial intelligence (AI) have made significant improvements in understanding and enhancing pedestrian safety—a vulnerable road user group that receives less attention than motorized road user...

Subjects / keywords: Education; Data processing; Academic achievement; Machine learning

Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imagin...

La capacidad de utilizar algoritmos para resolver problemas del mundo real es una habilidad imprescindible para cualquier desarrollador o programador. Este libro le ayudará no solo a desarrollar la capacidad de seleccio...

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...

Si está listo para aventurarse más allá de los conceptos introductorios e indagar en el aprendizaje automático, en el aprendizaje profundo y en la inteligencia artificial (IA), el formato de preguntas y respuestas qu...

El Machine Learning representa una herramienta importante para la exploración y la extracción de conocimiento. Su principal objetivo es construir modelos que permitan describir posibles patrones estructurales en la inf...

El aprendizaje automático está invadiendo el mundo del software. Si quieres entender y trabajar la vanguardia del aprendizaje automático, las redes neuronales y el aprendizaje profundo, esta segunda edición del bests...

Subjects / keywords: Ordenadores; Lenguajes; General

En la actualidad se evidencia el crecimiento de ataques informáticos y de forma específica los ataques phishing, la presente investigación tiene como problema fundamental el rendimiento en la detección de sitios web ...

Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario ...

The rapid growth of Internet of Things (IoT) devices, including smartwatches, home assistants, and connected appliances, has brought significant convenience to daily life, but it has also introduced serious security chal...

Insider threats pose a significant and growing risk to organizational cybersecurity, with recent studies indicating a 47% increase in insider incidents from 2018 to 2022. This paper presents a comparative analysis of uns...

Climate change presents significant challenges to ecosystems, economies, and societies globally. In Malaysia, a tropical country highly dependent on its natural resources, the impacts are evident in altered rainfall patt...

Football is the world’s most popular sport, and evaluating the market value of players is crucial for clubs and managers in making informed decisions regarding transfers, contracts, and financial planning. This st...

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenge...

Financial institutions worldwide face significant challenges in detecting and preventing illicit financial activities, such as money laundering and terrorism financing. Traditional rule-based methods often generate high ...

Despite the call of digital financial services (DFS) to improve inclusive growth and reduce poverty, the adoption of DFS remains low in Nigeria. The objective of this study is to examine the barriers of ability, access a...