In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …

Handwritten character recognition (HCR) is a critical component of diverse applications,
especially in multilingual regions such as India. Despite technological advancements …

Deep learning is increasingly used in diverse application fields with results typically
surpassing those of traditional machine learning techniques. The portfolio of available …

The process of evaluating the effectiveness, speed, and general capabilities of a computer
system that is embedded inside a larger device or system and created for a particular …

Abstract Machine learning allows designing intelligent sensing networks capable to perform
automatic inferences about the integrity of technical facilities. Compression techniques …

Generative artificial intelligence (AI), an AI technique produces original text, sounds, 3D
models, animation, and images. It is powered by large-scale machine learning (ML) models …

El objetivo será lograr diseñar e implementar un sistema de detección acústica autónomo
que estará formado por un conjunto de nodos inteligentes interconectados con un servidor …

Background: Transfer learning has proven to be an effective approach in various natural
language processing tasks, where pre-trained models are fine-tuned on specific …

Οι πρόσφατες εξελίξεις στον τομέα της επεξεργασίας σήματος, των τεχνολογιών των
αισθητήρων, των επικοινωνιών καθώς και, της υπολογιστικής υψηλών επιδόσεων (High …