Francisco Pinto-Santos

University of Salamanca · Department of Computer Science and Automatics

Smart cities require the integration of various data sources and the application of artificial intelligence (AI) to enhance decision-making, operations, and planning. However, the complexity of AI solutions often poses a barrier for non-experts. This paper proposes a user-friendly software architecture and AI-based solution that allows end-users to...

Smart cities generate vast amounts of data from various sources, such as IoT devices, sensors, and monitoring systems. Open data platforms provide an opportunity for governments, researchers, and private organizations to access and utilize this data for various purposes. However, ensuring data privacy is a critical concern in the context of smart c...

Most building and energy management system (BEMS) solutions follow a set of rules (supervised or unsupervised learning) to make energy-saving recommendations to inhabitants. However, these systems are normally solely trained on energy data meaning that they do not consider other key factors, such as the inhabitants’ comfort or preferences. The lack...

Distributed computing has been gaining a continually increasing interest over the past years in research and industrial communities. One of the significant objectives of distributed computing is to provide the infrastructure for performing tasks on independent systems. Utilizing this approach in software development can reduce costs. Consequently,...

Currently, the concern for achieving and fulfilling the Sustainable Development Goals (SDGs) is a constant in advanced societies. The scientific community and various organisations are working on obtaining an information system that will make it possible to offer the necessary value to this type of sustainability information. The article aims to in...

In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior and characteristics at each operating point. One of the fascinating aspects of batteries is their complicated behavior. The type of powe...

The areas of data science and data engineering have experienced strong advances in recent years. This has had a particular impact in areas such as healthcare, where, as a result of the pandemic caused by the COVID-19 virus, technological development has accelerated. This has led to a need to produce solutions that enable the collection, integration...

Los sistemas de jueces en línea son populares en el ámbito de la programación competitiva, permitiendo evaluar el funcionamiento de códigos utilizando pares de entrada/salida que designan su comportamiento esperado (Bloomfield & Sotomayor 2016). Además de facilitar el proceso de evaluación, permite al usuario probar durante el propio desarrollo el...

Deepint.net is a platform that has been designed to use Artificial Intelligence models for the analysis of datasets and real-time data sources, all without programming. This platform can be customized to read any type of data from webs, files, databases, sensors, it can also stream data in real time if needed. This paper presents deepint.net and ho...

Information analysis has become a key tool today. Most large companies use generic or custom-developed applications that allow them to extract knowledge from data and translate that knowledge into greater benefit. However, in the field of information ingesting and processing, there are not many generic tools in terms of purpose and scalability to p...

En este trabajo se presenta la experiencia docente de la implantación de un juez en línea para el aprendizaje de programación en el contexto de una asignatura de formación básica del Grado en Ingeniería Informática. En este proceso se ha buscado analizar las principales dificultades, ventajas e inconvenientes de la forma de trabajo orientada a la e...

The great development of the internet and all its associated systems has led to the growth of multiple and diverse capabilities in the field of software development. One such development was the emergence of code repositories that allow developers to share their projects, as well as allowing other developers to contribute to the growth and improvem...

Today, the paradigm of multi-agent systems has earned a place in the field of software engineering thanks to its versatility to adapt to various domains. However, the construction of these systems is complex, which leads to additional costs in the implementation process. In recent years, however, several frameworks have emerged to simplify this tas...

COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has a case-fatality rate of 2–3%, with higher rates among elderly patients and patients with comorbidities. Radiologically, COVID-19 is characterised by multifocal ground-glass opacities, even for patients with mild disease. Clinically, patients with COVID-19...

This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the mea...

Almost everything is stored on the Internet nowadays, and relying data on the Internet has become usual over the last years, directly increasing the value of data retrieval. Via Internet, data scientist can now find a way to access all the available data that is stored on the Internet, so they can turn that data into useful information. As people r...

E-Learning is a new learning approach that involves the use of electronic technologies to access education outside of a conventional classroom (Alonso Rincon,). The objective of E-Learning systems is to increase the students’ learning skills by providing a customized experience to each system user (Rodrigues, 2013). However, to accomplish this, it...