Ruben Gonzalez Crespo

Ruben Gonzalez Crespo
Universidad Internacional de La Rioja | UNIR · UNIR Research

Professor in Computer Science and Artificial Intelligence
Vice President of Academic Affairs at UNIR

About

343
Publications
136,677
Reads
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2,673
Citations
Introduction
Dr. Rubén González Crespo is a full professor in Computer Science and Artificial Intelligence. Currently he is Vice-Rector of Academic Affairs and Teaching from UNIR. He is EiC of the International Journal of Interactive Multimedia and Artificial Intelligence (SCIE), and associate editor in several indexed journals. His main research areas are Artificial Intelligence, Accessibility and TEL. He is advisory board member for the Ministry of Education in Colombia and Spain.
Additional affiliations
May 2019 - April 2020
Universidad Internacional de La Rioja
Position
  • Vice-Rector of Academic Affairs
January 2016 - present
Applied Soft Computing
Position
  • Editor
Description
  • Editorial Board Member of Applied Soft Computing
June 2014 - May 2019
Universidad Internacional de La Rioja
Position
  • Head of Faculty
Education
September 2012 - July 2013
Universidad Pontificia de Salamanca
Field of study
  • Industrial engineering
September 2011 - September 2012
Universidad Internacional de La Rioja
Field of study
  • Management and engineering of web sites
November 2007 - July 2008
Sociedad de Estudios Internacionales
Field of study
  • International Relations

Publications

Publications (343)
Article
Multimedia Communications of Internet of Vehicles (IoV) uses WLAN, NFC and Fifth Generation networks. At the same time, in multimedia communications in healthcare, IoV's essential task is optimizing the quality of experience (QoE) via regulating wireless links between cars. In addition, the artificial intelligence (AI) method has revolutionized IoV...
Article
In the competitive web browser market, identifying potential churners is critical to decreasing the loss of existing customers. Churn prediction based on customer behaviors plays a vital role in customer retention strategies. However, traditional churn prediction algorithms such as Tree-based models cannot exploit the temporal characteristics of br...
Article
Full-text available
Education is a fundamental right that enriches everyone's life. However, physically challenged people often debar from the general and advanced education system. Audio-Visual Automatic Speech Recognition (AV-ASR) based system is useful to improve the education of physically challenged people by providing hands-free computing. They can communicate t...
Article
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Unmanned aerial vehicle based precision agriculture is a predominant research area. The modern flying ad‐hoc network leverages the advanced low latency vehicular communication and intelligent computing paradigms that help the ecosystem to grow up to the next level. In this work, we propose an ecosystem for precision agriculture that leverages the u...
Article
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The research paper presents the heterogeneous computing model for analysis & restoration of human walking deformity and posture instability. Gait related walking activities are very important for analysis of postural instability, repairment of gait abnormality, diagnosis of cognitive declination, enhance the cognitive ability of human centered huma...
Article
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In interpersonal relationships, the recognition of human emotion plays an important role. Speech, hand and gestures of the body and facial expressions reflect emotions. Therefore, the interaction between human and machine communication plays a high role in extracting and understanding emotion. The challenging characteristic in e-learning includes l...
Article
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In the current era, the incidence rate of the cancer is gradually rising due to various causes and early screening and treatment is necessary to reduce the mortality rates. Skin Cancer (SC) is one of the cancers and listed under top 5 groups in 2020 report of World Health Organisation (WHO). The proposed research aims to propose a CNN framework to...
Article
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Currently, predicting patients with major depressive disorder (MDD) is a challenging task. Meanwhile, magnetic resonance imaging (MRI) data analysis may be able to predict individual patient responses, which may lead to more personalized treatment decisions and better treatment outcomes. This study used a transfer learning (TL) method developed by...
Chapter
There are several techniques to support simulation of time series behavior. In this chapter, the approach will be based on the Composite Monte Carlo (CMC) simulation method. This method is able to model future outcomes of time series under analysis from the available data. The establishment of multiple correlations and causality between the data al...
Chapter
The application of different tools for predicting COVID19 cases spreading has been widely considered during the pandemic. Comparing different approaches is essential to analyze performance and the practical support they can provide for the current pandemic management. This work proposes using the susceptible-exposed-asymptomatic but infectious-symp...
Chapter
A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, was not originally designed for COVID19. We used the simple, commonly used SEIR model to retrospectively analyse the initial pande...
Chapter
The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in history, and the most recent one has unique characteristics, which are tightly connected to the current society’s lifestyle and b...
Chapter
Full-text available
La Universidad del siglo XXI debe dar respuesta a los retos surgidos tras la irrupción de la pandemia provocada por la COVID-19, y debe afrontarlos como una posibilidad para adaptarse, adoptar e integrar en su realidad, las posibilidades que la tecnología pone a su disposición. Para ello, es necesario que las Instituciones de Educación Superior dis...
Article
In clinical examinations, diagnosis, treatment, and decision-making, functional magnetic resonance imaging (fMRI) has been widely used. Intelligently processing large-scale medical image data poses a major scientific challenge; segmenting fMRI images is one way to reduce computational complexity. The majority of deep learning (DL)-based segmentatio...
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The emergence of the Internet of Things (IoT) has given digital communications a range of interconnected functionalities. The IoT is an intelligent technology between the real and the digital world. An IoT end-to-end solution comprises components such as Component for User Access: Mobile Application or Web Application. IoT Gateway. Cloud Infrastruc...
Article
Telecommunications systems with Multi-Input Multi-Output (MIMO) structure using Orthogonal Frequency Division Modulation (OFDM) has a great potential of efficient application to a network of Internet of Things (IoT) of a high data rate. When the IoT network is amongst the underwater sensory devices known as the Internet of Underwater Things (IoUT),...
Article
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An eye disease affects the entire sensory operation, and an unrecognized and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated Age-Related Macular Degeneration (AMD) detection system using a Deep-Learning (DL) scheme with serially concatenated deep and handcrafted features. The research includes the fo...
Article
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In recent years, Internet of Things (IoT) systems have changed the way we live, work and do businesses in many areas, even those that until recently seemed unlikely. Some areas that can benefit from their application are, among others, healthcare, smart cities, industrial automation, smart agriculture, intelligent transportation systems, smart logi...
Article
Lowering pollution levels is one of the main principles of Sustainable Development goals dictated by the United Nations. Consequently, developments on noise monitoring contribute in great manner to this purpose, since they give the opportunity to governments and institutions to maintain track on the matter. While developing a software product for t...
Article
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This paper focuses on developing a computationally economic lightweight artificial intelligence (AI) technology for smartphones. Until date, no commercial system is available on this technology. Thus the developed breakthrough technology can enhance the capability of users on the field for monitoring the agricultural vehicles (AgV)s health by analy...
Article
In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a more significant opportunity for new hand pose estimation activity. Due to the fluctuations, self-occlusion, and specific modulatio...
Chapter
Since ancient times, there has been a need to protect information considered confidential or secret, with the aim of keeping it out of the reach of a possible enemy or adversary. This has been done in various ways: by preventing physical access to it, by disguising its nature, or by using cryptographic procedures to transform it to prevent access t...
Article
Sustainable energy management is an inexpensive approach for improved energy use. However, the research used does not focus on cutting-edge technology possibilities in an Internet of things (IoT). This paper includes the needs for today's distributed generation, households, and industries in proposing smart resource management deep learning model....
Article
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Nowadays, medical certificates are very important for many users as they want to avail health benefits like tax purposes, insurance claims, legal procedures, and many more. Generating, issuing, and maintaining medical certificates remain a significant problem before the invention of the computer, they were available as hard copies. The digitization...
Article
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Knowledge creation and sharing is the most valuable asset needed for the development of an organisation, at times the acquired knowledge by the employees might become critical information or an important skill in case of an employee leaving the organisation. Since information and knowledge is the most valuable asset of any existing business, the re...
Article
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Artificial intelligence, Internet of Things, Human Augmentation, virtual reality, or mixed reality have been rapidly implemented in Industry 4.0, as they improve the productivity of workers. This productivity improvement can come largely from modernizing tools, improving training, and implementing safer working methods. Human Augmentation is helpin...
Conference Paper
The academic spaces united with marketing are developed in research processes, centers of creation and innovation by the student body of the University of Cundinamarca, generating strategic learning projects, building forms of access to knowledge, practice, the implementation of better changing environments, the integration of different disciplines...
Article
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This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search (BFS), and dominance-based rough set approach (DRSA) methods. This study aims to enhance the classifier’s performance in decisi...
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In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, widely implemented to enhance the information in a class of gray/RGB class pictures. The thresholding helps to enhance the ima...
Article
Multimodal teaching activity faces significant problems in Visual Question Answering (VQA), which involves simultaneous comprehension with reduced performance fidelity. However, Conventional methods are employed for portrayal and queries in a defined manner, which fails to accomplish the required performance accuracy rate. For elucidating the excel...
Article
Surface electromyography (sEMG) has been widely used in clinical medicine, rehabilitation medicine, and intelligent robots. While the high rate of emotion recognition is still the key issue for the emotion applications. Employing sEMG to study emotion classification can improve the recognition rate and eliminate subjective interference. In this res...
Article
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Nowadays, economic growth is influenced by many domestic and foreign global issues, concerning the decrease of industrial output for the rise in economic inequality and the weakening of the overall condition in the countries. The role of economic growth is based on human capital and investment. Therefore, in this paper, the human capital and econom...
Article
A new trend of schooling is characterized by long-term learning and driven by technological, social and cultural developments. This trend means that physical education and sports science must be strengthened. Although physical education and sports are practical activities, specialists can make use of modern teaching technologies. Basketball is inte...
Article
In a context of digitalization and technological evolution in all aspects of our lives, the electricity sector could not be left behind. This opens up a new range of possibilities until now unthinkable, which will facilitate the progress and services that we will be able to enjoy thanks to the development of the smart grid. But it also poses new ch...
Article
Smart cities are a safe and productive regional service that provides their residents with a good standard of living by optimizing resource development. Considering the nature of the energy resources available, energy consumption is one of the most demanding issues within these smart cities. Compared to energy-efficient design and the implementatio...
Article
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Presently, the continuous monitoring of complex activities is valuable for understanding human health behavior and providing activity-aware services. At the same time, recognizing these health activities requires both movement and location information that can quickly drain batteries on wearable devices. The energizing factor in the wearable Intern...
Article
Sepsis is a common and deadly condition that must be treated eloquently within 19 hours. Numerous deep learning techniques, including RNNs, CNNs, Long Short-Term Memory, and Gated Recurrent Units, have been suggested for diagnosing long-term sepsis. Regardless, a sizable portion of them are computationally risky and have precision problems. The pri...
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Background. The advent of SARS-CoV-2 vaccines has been associated with a significant decline in COVID-19 hospitalizations and deaths. However, little is known about the benefits experienced by different population groups and/or using distinct vaccines. Methods. We analyzed the Spanish public registry for associations between calendar vaccination s...
Article
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Sustainable communication for various wireless networks in the smart city has recently received considerable attention from researchers. Sustainable communication focuses exclusively on improving green energy in a smart city for effective economic management. The wireless sensor network (WSN) consists of arbitrarily and widely deployed sensor nodes...
Article
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Almost all of the Automatic Accident Detection (AAD) system suffers from the tradeoff between computational overhead and detection accuracy. Recent advances in detection and classification methodologies have shown phenomenal improvements in accuracy but these systems require a huge number of computational resources making them unviable for deployme...
Article
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Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, noise from road traffic is the most prevalent in cities. Therefore, it is necessary to have tools that allow noise characterization...
Conference Paper
Este artículo analiza la seguridad con la que los estudiantes del último año de instituto se plantean su futuro académico, y si éste está orientado a la informática. Mediante encuestas se pretende obtener una muestra representativa de los criterios de elección de especialidad presentes en un conjunto de 168 alumnos. El análisis de los datos obtenid...
Conference Paper
Full-text available
En las últimas décadas, los proyectos han tenido un desarrollo exponencial pasando a verdaderos retos de la Ingeniería, como puede ser el canal de Panamá o la planta solar más grande del mundo (BEN BAN Solar) de 1.8GW en el desierto de Aswan (Egipto). La adopción de determinadas metodologías de gestión de proyectos (p. Ej., PMI (PMI,2017), IPMA y P...
Conference Paper
Smart Cities are transforming the vision of city dynamics from the local level. Therefore, comprehensive planning is required, considering the actors, resources and components necessary for their implementation, through public policies that express the approaches defined by governments. Hence, the importance of analyzing and evaluating from a theor...
Article
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 seconds. Alzheimer's disease is a progressive neurodegenerative disease and various machine learning and image processing methods have been used to detect it. In this study, we used machine learning methods to classify Alz...
Article
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The number of layers of deep learning (DL) increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based DNN model was applied to address these issues recently. This paper improved the RN and developed a rectified linear unit (Re...
Book
This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, seman...
Article
Full-text available
The Internet of Things paradigm is a paramount research domain for smart cities, smart villages, society, and industry 4.0. The introduction of Unmanned Aircraft Systems (UAS), ultra-low latency network infrastructure with fog, dew, and edge enabled processing ecosystem gives the researcher ample scope to establish a decentralized architecture for...
Article
Emotion produces complex neural processes and physiological changes under appropriate event stimulation. Physiological signals have the advantage of better reflecting a person’s actual emotional state than facial expressions or voice signals. An electroencephalogram (EEG) is a signal obtained by collecting, amplifying, and recording the human brain...
Chapter
Full-text available
Los objetivos de desarrollo sostenible de las Naciones Unidas priorizados hasta 2030 representan para los líderes de las naciones un desafío, que implica entregar a los menos afortunados un mejor acceso al agua, al saneamiento y a la higiene, mayor igualdad, mejor nutrición y mejores medios de subsistencia entre otras áreas de desarrollo (Voth Gaed...
Article
Sports has scored significant attention among the public in this multifaceted world. Diverse training strategies are followed by many athletics and even flexible to adapt comfortable and optimal techniques. This fact has led physicians and educators to encourage remote health surveillance as one of the core strategies in athletic training. The need...
Article
Full-text available
Smart Cities are transforming the vision of city dynamics from the local level. Therefore, comprehensive planning is required, taking into account the actors, resources and components necessary for their implementation, through the development of public policies that account for the approaches defined by governments in order to improve the quality...
Article
Full-text available
Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 that hits the world death tolls and economy loss very hard, is more complex and contagious than its precedent diseases. The comp...
Article
Compressive sensing has the ability of reconstruction of signal/image from the compressive measurements which are sensed with a much lower number of samples than a minimum requirement by Nyquist sampling theorem. The random acquisition is widely suggested and used for compressive sensing. In the random ac...
Article
The trend of digitalization uses modern relationship models across global supply chain management. The main objective of this paper is to identify supply chain current problems with the help of the knowledge sharing aspect using blockchain technology. This paper addresses selected problems for managing modern supply chains with a view to shared kno...
Article
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The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focu...
Article
This research aims to design and prototype a tool to perform intelligence on open sources (OSINT), specifically on official medical bulletins for the detection of false news. MedOSINT is a modular tool that can be adapted to process information from different medical official bulletins. From the processed information, intelligence is generated for...
Article
Background: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient's healthcare radically. A concept model for the real-time patient tracking system...
Article
On account of the exponential augmentation of documents on the internet, users need all the pertinent data at ‘1’ place with no hassle. Therefore, automatic text summarization (ATS) is needed to automate the procedure of summarizing text via extorting the documents. The goal is to propose an automatic, generic, in addition to extractive text summar...