Fake news has flooded social networks and has been studied from different perspectives.
Different methodologies have been proposed to approach this issue. In recent years …

An organization's procurement process is pivotal for its success in a competitive market. The
increased uncertainty and complexity of post-pandemic supply chains have made …

Training data for user behavior models that predict subjective dimensions of visual
perception are often too scarce for deep learning methods to be applicable. With the typical …

Trabajo Fin de Grado Page 1 Escuela Politécnica Superior de Jaén Trabajo Fin de Grado
CLASIFICACIÓN AUTOMÁTICA DE CANCIONES BASADA EN EL ANÁLISIS DE SUS LETRAS …

Artificial intelligence (AI) algorithms for gait analysis rely on properly identified foot strikes for
step-based feature calculation. Smartphone signals collected during movement …

In an era of technological hegemony, protecting innovative technologies worldwide has
become an important issue. In particular, technical documents, including national core …

Text classification has been an important application and research subject since the origin of
digital documents. Today, as more and more data are stored in the form of electronic …

Deep learning (DL) has proven to be very effective in detecting sophisticated malware that is
constantly evolving. Even though deep learning has alleviated the feature engineering …

Over the past few years, Deep Learning approaches have been the" gold standard" for a
myriad of tasks and applications both in research and in various industries. This is mainly …

Abstract 1,000 portable document files are divided into five labels from the World Health
Organization COVID-19 Research Downloadable Articles and PubMed Central databases …