Buscar recursos académicos

This study investigates the performance of the Random Forest algorithm in measuring the quality of Higher Education Institutions (HEIs) in Indonesia. The current reliance on administrative evaluations and conventional ac...

El presente trabajo analiza y compara la precisión de dos algoritmos de aprendizaje automático supervisado -Random Forest y Redes Neuronales- en la imputación de datos faltantes en encuestas escolares. A partir de la ...

Póster presentado en la Escuela de Primavera en Deep Learning 2025 – Facultad de Ciencias Exactas y Naturales - UBA. "Los cuestionarios complementarios que responden los estudiantes en el marco de la Evaluación Nacio...

Anthropogenic alteration of tropical and subtropical forests is a major driver of biodi-versity loss, with the Chaco forest, the largest dry forest in the Americas, among the most impacted regions. Sustainable forest man...

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...

Job-seeking tasks are always challenging. Often, job recommendation systems require human intervention in the job-seeking process. Therefore, the study focuses on recommendation of most relevant job sectors and prioritiz...

Abstract The accurate prediction of the deterioration of Continuously Reinforced Concrete Pavement (CRCP) is essential for the effective management of pavements and the maintenance of infrastructure. In this study, a co...

ABSTRACT While lichens are vital for ecosystem processes and serve as useful bioindicators, lichen diversity remains understudied, particularly in southern Ecuador. Here, we report the first inventory of corticolous (on ...

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...

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 ...

ObjectiveTo provide data support for infectious mechanism and microecological intervention strategies， the structural and functional alterations of the gut microbiota in patients with norovirus associated diarrhea was ...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

Abstract High-throughput analysis of EEG data has significantly contributed to understanding neural dynamics in Alzheimer’s disease diagnosis. However, the complexity and high dimensionality of EEG signals pose challen...

ABSTRACT Background Halfway through the final decade of actions towards the 2030 Sustainable Development Goals (SDGs), progress toward SDG7 is off track. It is estimated that by 2030, 660 million people, mainly rural pop...

"Este trabajo propone un modelo clasificador orientado a complementar el ICL mediante la incorporación de variables territoriales, con el fin de generar una evaluación más integral y precisa de la limpieza urbana. A p...

"En los últimos años, el sector bancario de personas físicas en Argentina ha experimentado profundas transformaciones, impulsadas por factores como la globalización, la digitalización, los cambios de hábitos postpa...

"Falls pose a significant health risk to older adults, often resulting in serious injuries and reduced independence. This study explored two machine learning approaches for detecting falls using data from wearable sensor...