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CHAMPIonS: Conversational Human-AI Methodologies for Performance In Sports

The CHAMPIONS 25 workshop explores the intersection of data analysis, artificial intelligence (AI), and human-centered technologies in the domain of sports, with a specific focus on football. As data-driven decision-making becomes increasingly …

Increasing Resolution of MRI Volumes Through Interleaved Slice Synthesis Based on Generative Adversarial Networks

In modern medical diagnostics, Magnetic Resonance Imaging (MRI) has emerged as an indispensable tool, playing a fundamental role in diagnosing several diseases. However, the widespread use of dated diagnostic machinery often results in MRI scans of …

Exploring Architectural Choices and Emerging Challenges in Data Management for IoT: A Focus on Digital Innovation and Smart Cities

Digital innovation is an important and evolving process that refers to the transformation and integration of digital technologies into various aspects of everyday life and work. In this context, innovative digital solutions are often adopted and …

Artificial Intelligence Methods for Smart Cities

In recent years, the concept of smart cities has garnered increasing attention as urban areas grapple with the challenges of population growth, resource management, and infrastructure optimization. Smart cities leverage innovative technologies to …

Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study

Social IoT has become a sensitive topic in the last years, mainly due to the attraction of social networks and the related digital activities amongst the population. These techniques are gaining even more importance in the current period, in which …

A Practical Approach for Vehicle Speed Estimation in Smart Cities

The last few decades have witnessed the increasing deployment of digital technologies in the urban environment with the goal of creating improved services to citizens especially related to their safety. This motivation, enabled by the widespread …

Heimdall:an AI-based infrastructure for traffic monitoring and anomalies detection

Since their appearance, Smart Cities have aimed at improving the daily life of people, helping to make public services smarter and more efficient. Several of these services are often intended to provide better security conditions for citizens and …

Reinforced curriculum learning for autonomous driving in CARLA

Autonomous Vehicles promise to transport people in a safer, accessible, and even efficient way. Nowadays, real-world autonomous vehicles are build by large teams from big companies with a tremendous amount of engineering effort. Deep Reinforcement …

A novel blockchain scheme combining prime numbers and iris for encrypting coding

This paper presents a novel technique to build an access key that finds its natural fit in blockchain, smart cities environments, transactions of electronic currencies and, as proved by NIST tests, in high computer security scenarios where having a …

A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition

Nowadays, Smart Cities applications are becoming steadily popular, thanks to their main objective of improving people daily habits. The services provided by the aforementioned applications may be either addressed to the entire digital population or …