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Machine Learning Using Auto Regressive Vectors to Predict Ecuador’s Percentage Growth

Automated machine learning, known as AutoML, is a process that utilizes automated techniques and algorithms to develop machine learning models. This encompasses feature selection and preprocessing, algorithm selection, hyperparameter optim…

Transparency in Corporate Networks: A Graph-based Model to Reduce Computational Complexity in Identifying Total Ownership of Ultimate Beneficial Owners

Identifying Ultimate Beneficial Owners (UBOs) in complex corporate structures is critical for financial transparency and preventing economic crimes. Recursive cycles in ownership networks exacerbate this challenge by increasing computation…

Agricultural Tourism as a Strategy for Sustainability and Development of Smart Destinations: A Case Study of the APAVI Association

The tourism sector, in its ongoing pursuit of more responsible and sustainable development models, has identified the smart destination framework as an optimal paradigm for integrating innovation, technology, and sustainability. Within thi…