Jesús A. Román

• Doctor of Engineering
• University of Salamanca

Readmissions are an indicator of hospital care quality; a high readmission rate is associated with adverse outcomes. This leads to an increase in healthcare costs and quality of life for patients. Developing predictive models for hospital readmissions provides opportunities to select treatments and implement preventive measures. The aim of this stu...

The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention—a concern o...

The importance of Big Data and the analysis of this data in recent years is indisputable, and this boom has spread to all areas of life, including professional sports and, within this, soccer. The significant amounts of money involved in this sport have led to the need for the top clubs to employ these techniques to gain a competitive advantage ove...

Currently, web services‐based applications have an important presence in public and private organizations. The vulnerabilities that these types of applications may have pose an inherent potential risk to the business model of these organizations. These applications have the inherent risk of being used by organizations in such a way that their activ...

Introduction Today’s society is aware that healthy aging favors quality of life in the future, even more so as life expectancy increases in populations such as Europe. As in countries such as Japan, it is necessary for institutions to provide social services to support the elderly, with the aim of achieving an optimal quality of life for these peop...

Swallowing is divided into oral, pharyngeal and esophageal phases. The evaluation of these disorders is commonly done with videofluoroscopy, but this is an expensive method. For this reason, screening tests, bedside swallowing assessment and surface electromyography (sEMG) have emerged for the evaluation of swallowing disorders. The aim is to carry...

The use of facial recognition technologies is increasingly present in everyday life and more widespread in many information systems. This type of technology can be found in authentication methods, access systems, photo editing software and different security mechanisms or surveillance cameras, among others. The large amount of image-related data cu...

Swallowing disorders can have serious consequences for affected people. Diagnostic methods are increasingly questioned due to their high cost and unreliability. For this reason, the study of Surface Electromyography (sEMG) devices which facilitate the diagnosis and treatment of these disorders is advancing. The main purpose of this study is to desc...

Vulnerabilities in web applications represent a major risk for all entities that base their business, or part of it, on this type of applications, since they are the main entry point for attackers who want to breach their security. Web Application Firewalls (WAF) are a major barrier to this attack vector and are defined as those applications locate...

Medical imaging is a very important tool to evaluate some health problems and to define treatments. Several techniques are currently used to obtain these images. In addition, there is a set of processes that are commonly applied to these images to obtain useful information for experts, such as segmentation or classification. Various techniques have...

Learning to program is a task that requires previous knowledge to carry it out successfully. In general, it is easier for people with previous studies in mathematics and logic.When a teacher is preparing a programming course, she/he must take into account the previous knowledge of the students who are going to take the course. Given that some stude...

The color quantization problem consists of reducing the number of different colors used to represent an image. Although current devices can render images with many different colors, this is not necessary for many image processing applications. On the contrary, many of these processes require as an initial step to reduce the number of colors in the...

Nowadays, the information provided by digital photographs is very complete and very relevant in different professional fields, such as scientific or forensic photography. Taking this into account, it is possible to determine the date when they were taken, as well as the type of device that they were taken with, and thus be able to locate the photog...

The satellite navigation systems (GNSS), had their beginnings in the seventies (70s), through the development of global positioning systems (GPS) by the United States and being functional at civilian level from 1993, when 24 satellites were achieved in orbit, which allowed to start the commercial race to implement services and technologies based on...

Image recognition is a well-known and currently addressed problem in Artificial Intelligence. It has many practical applications, including medical image analysis, face recognition, food image analysis and image retrieval, among others. One of the main problems that arises to obtain a model for classification and forecasting is the need to have a s...

The registration of private property in Colombia has been managed with manual processes, which have generated poor control, difficult processes, inadequate storage of information physically and locally, which have caused legal insecurity in rural property, in addition to the fact that during the violence period millions of hectares were illegally o...

This article proposes a color quantization strategy that combines two color quantization methods: Binary Splitting and Ant tree for Color Quantization. This solution combines a splitting method, which is faster, and a clustering-based method, which generates better quantized images. Given that time is a fundamental factor when considering a method...

The collaboration within organisations and among organisations is a fundamental concept in the attainment of the overall objectives pursued by an enterprise network in human companies. Swarm systems are intelligent systems that show collaboration within the system; moreover, some models, such as multiple ant colonies, show the collaboration of seve...

A color quantization technique that combines the operations of two existing methods is proposed. The first method considered is the Greedy orthogonal bi-partitioning method. This is a very popular technique in the color quantization field that can obtain a solution quickly. The second method, called Ant-tree for color quantization, was recently pro...

The distribution of services on multi-agent systems allows it to reduce to the agents their computational load. The functionality of the system does not reside in the agents themselves, however it is ubiquitously distributed so that allows you to perform tasks in parallel avoiding an additional computational cost to the elements in the system. The...

One way to reduce the computational load of the agents is the distribution of their services. To achieve this goal, the functionality of a MAS (multiagent system) should not reside in the agents themselves, but ubiquitously be distributed so that allows the system to perform tasks in parallel avoiding an additional computational cost. The distribut...

Specialization is a feature existing in biological systems and human organizations which improves their processes, and allows optimizing the achievement of their objectives. This specialization, applied to artificial intelligent systems, such as multi-agent systems, optimizes resources and processes depending on the type of aims that are chasing. D...

The specialization exists in biological systems and in human organizations, as a methodology to improve processes and optimize their aims. This specialization in artificial intelligent systems such as multi-agent systems, can improve their aims, depending on the type of specialization and the goals which they need to achieve. The enterprise network...

SCODA (Distributed and Specialized Agent COmmunities) is presented, like a new modular architecture for multi-agent systems development. By means of SCODA, multi-agent systems development is allowed under specialized modular philosophy, through it, the functionalities of the system can be extended in scaled form, according to the objectives. SCODA...

This study presents a novel hybrid classifier method to obtain the best parameters of a PID controller for desired specifications. The study presents a hybrid system based on the organization of existing rules and classifier models that select the optimal expressions to improve specifications. The model achieved chooses the best controller paramete...

Resumen: El planteamiento de implementar sistemas multiagente de forma que puedan reutilizarse con distintos objetivos, dota a los desarrolladores de una metodología más eficaz en sus fines. Este artículo presenta SCODA, una arquitectura basada en cinco principios: estandaridad, especialización, facilidad de implementación, reutilización y computac...

The approach to develop multi-agent systems that they can be reused for different purposes, provides to developers an effective methodology in their aims. In this paper is presented SCODA, an architecture based on five principles: standarization, specialization, facility of implementation, reuse and distributed computing. SCODA has intended to faci...

Context-aware systems capture information from the attributes located within their surroundings and deal with different ways of interacting with the user in its environment. This paper proposes a multi-agent system that processes and reasons the data it receives in order to identify and maintain a permanent fix on the location of a patient at home,...

This work presents improvements in the communication protocol and service coordination mechanism of the HoCa architecture, a multi-agent based architecture designed to facilitate the development of pervasive systems that proposes a new model where multi-agent systems and service oriented architectures are integrated to facilitate compatible service...

This paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOA messages. These messages can carry out attacks that target the applications providing Web Services. An advanced mechanism of classification designed in two phases incorporates a CBR-Agent type for classifying the incomin...

The interest in electricity load forecasting has grown up in the last years. However, the accurate load prediction remains a difficult task due particularly to the non-linear character of the time series and the periodical and seasonal patterns it exhibits. Several machine learning techniques such as the Support Vector Machines (SVM) have been deve...

Dimension reduction techniques are important preprocessing algorithms for high dimensional applications that reduce the noise keeping the main structure of the dataset. They have been successfully applied to a large variety of problems and particularly in text mining applications. However, the algorithms proposed in the literature often suffer fro...

Electricity load forecasting has become increasingly important for the industry. However, the accurate load prediction remains a challenging task due to several issues such as the nonlinear character of the time series or the seasonal patterns it exhibits. Several non-linear techniques such as the SVM have been applied to this problem. However, the...