Vicente García Díaz

Vicente García Díaz
University of Oviedo | UNIOVI · Department of Information Technology

Doctor of Computer Science

About

149
Publications
36,397
Reads
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1,193
Citations

Publications

Publications (149)
Article
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This paper investigates the automated medical learning and proposes hybrid intelligent framework, called Hybrid Automated Medical Learning (HAML). The goal is the efficient combination of several intelligent components in order to automatically learn the medical data. Multi agents system is proposed by using distributed deep learning, and knowledge...
Article
An electrocardiogram (ECG) is extensively used to evaluate the heart condition that can lead to further investigate heart ailments detection of heart diseases. The process is simple, quick, and non-invasive. However, manually detecting and classifying arrhythmia is not easy, as manually analyzing the ECG signals is time-consuming. This research pro...
Article
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Globally, millions of people were affected by the Corona-virus disease-2019 (COVID-19) causing loads of deaths. Most COVID-19 affected people recover in a few spans of weeks. However, certain people even those with a milder variant of the disease persist in experiencing symptoms subsequent to their initial recuperation. Here, a novel Block-Chain (B...
Article
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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
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Forecasting medical costs is crucial for planning, budgeting, and efficient decision making in the health industry. This paper introduces a proposal to forecast costs through techniques such as a standard model of long short-term memory (LSTM); and patient grouping through k-means clustering in the Keralty group, one of Colombia’s leading healthcar...
Book
This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern elect...
Article
Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed over the years, and novel approaches continue to emerge. This paper proposes a new technique for optimizing image compressio...
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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Opportunistic networks (OppNet) a new paradigm emerges after the great advancement of wireless technology and MANETs (Mobile Ad-hoc Networks). Store-Carry-forward phenomena is used to route the messages in OppNets; therefore, it is called delay tolerant network (DTNs). OppNet is such a heterogeneous flexible network that works in hurricane affected...
Article
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The final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved in city activity such as transport, energy or health. Crowd-sourcing initiatives focus their effor...
Article
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A flexible manufacturing system (FMS) is the model used for the system produced in the manufacturing industry, and it consists of the number of interconnected workstation. Inflexible manufacturing system scheduling of jobs has become a serious problem, even for a short breakdown of the machine and for the unexpected arrival of the product. To overc...
Article
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This paper exploits various meta-heuristic optimization techniques to learn PID controller parameters for nonlinear systems. The nonlinear systems considered here are well known ball and beam, inverted pendulum, and robotic arm manipulator. The gain parameters of the controllers are optimized by using two categories of meta-heuristic optimization t...
Article
Energy consumption forecasting is essential for smart grid operations as it facilitates electricity demand management and utilities load planning. In this paper data analytics has been presented on the collected smart meter measurement and then predicting the energy consumption on a daily basis using (autoregressive integrated moving average) ARIMA...
Article
The Credit markets are served as intermediation between the lenders and borrowers. Huge economic activities are invested and obtain results over a small period of such credit market activities. Since it is good at the production of investments, there is a sudden fluctuation in the economic growth due to weak contracts with the borrower, less abilit...
Article
In recent years, data on individual spatiotemporal levels have been increasingly available, especially due to the utilization of modern GPS tracking devices. Cloud pollution significantly restricts the potential use for geoscience applications of optical remote sensing images. This paper presents a spatial and time-based melting process for remote...
Article
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It is always difficult and challenge to obtain suitable trading signals for the desired securities in financial markets. The popular way to deal with it is through the use of trading strategies (TSs) made up of technical or fundamental indicators. Due to the different properties of TSs, an algorithm was proposed to find trading signals by obtaining...
Article
Social media generate a massive amount of information each day. This information is usually generated by people and may be used for many studies. Social media mining is a growing discipline inside data mining, and the results have proven to be quite revealing. Getting the data to work with might seem to be the easiest task in the process, but it ca...
Article
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Monte Carlo Tree Search is one of the main search methods studied presently. It has demonstrated its efficiency in the resolution of many games such as Go or Settlers of Catan and other different problems. There are several optimizations of Monte Carlo, but most of them need heuristics or some domain language at some point, making very difficult it...
Article
Life insurance is an agreement between an insured and an insurer, where the insurer pays out a sum of money either on a specific period or the death of the insured. Now a day, People can buy a policy through an online platform. There are a lot of insurance companies available in the market, and each company has various policies. Selecting the best...
Book
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Hardcover 978-1-119-77874-5 November 2020 $225.00 DESCRIPTION Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire t...
Conference Paper
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El proyecto ha consistido en la realización de una plataforma digital que, mediante un asistente virtual, permitirá ayudar con las dudas a los estudiantes de la asignatura de Algoritmia del Grado en Ingeniería Informática del Software. El objetivo es ayudar a los alumnos de forma automatizada mediante un chat virtual basado en inteligencia artifici...
Chapter
Swarm Intelligence (SI), normally, is based on the problem‐solving ability. It solves the problem using the interaction of simple information processing units. It contains some types of the terminologies which are the distribution, multiplicity, messiness, stochasticity, and randomness. The problem‐solving approach is based on three terminologies w...
Conference Paper
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In this paper, focusing on the task of feature extraction using financial time series as well as trend prediction for prices, a new stock sequence array convolutional neural network model is presented. This model shows promising results in improving the accuracy in stock trading forecasts. The implemented model collects data from historical sources...
Article
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Novel Coronavirus Disease (COVID-19) is a communicable disease that originated during December 2019, when China officially informed the World Health Organization (WHO) regarding the constellation of cases of the disease in the city of Wuhan. Subsequently, the disease started spreading to the rest of the world. Until this point in time, no specific...
Article
On November 20, 2018 at 11 am, Andrés Camilo Jiménez Alvarez defended his Ph.D. thesis entitled Decentralized navigation model for multiagent cooperative robotic systems at the Distrital University Francisco José de Caldas. Andrés Camilo Jiménez Alvarez presented his dissertation in a public open event held in the “Wise Caldas Auditory”, and was ab...
Article
An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is becoming an essential part of the network security system. Therefore, the proper research and implementation of IDSs are required....
Article
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El proyecto consiste en la realización de una plataforma digital que permite la realización automática de actas de coordinación de asignaturas a partir de los hilos de las conversaciones establecidas en los envíos de correos electrónicos por parte de los diferentes equipos docentes participantes en dichas asignaturas. Las actas pueden generarse a p...
Article
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Email services nowadays are flooded by spam and phishing attacks. Email service providers build their own email filters to protect the final users from such attacks resulting in an overall better experience. However, the attacks come mainly from the same problem in the email protocols, i.e., the lack of authentication mechanism. In this work, we at...
Article
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This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to large clinical data sets may provide a meaningful data-driven approach to categorize patients for popula...
Article
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Calculating forward and inverse kinematics for robotic agents is one of the most time-intensive tasks when controlling the robot movement in any environment. This calculation is then encoded to control the motors and validated in a simulator. The feedback produced by the simulation can be used to correct the code or to implement the code can be imp...
Article
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Radio Frequency Identification (RFID) networks usually require many tags along with readers and computation facilities. Those networks have limitations with respect to computing power and energy consumption. Thus, for saving energy and to make the best use of the resources, networks should operate and be able to recover in an efficient way. This wi...
Article
Monte-Carlo methods are the basis for solving many computational problems using repeated random sampling in scenarios that may have a deterministic but very complex solution from a computational point of view. In recent years, researchers are using the same idea to solve many problems through the so-called Monte-Carlo Tree Search family of algorith...
Article
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Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing an intelligent big data analytic platform based on machine learning and data integration principl...
Article
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Phishing attacks are one of the slanting cyber-attacks that apply socially engineered messages that are imparted to individuals from expert hackers going for tricking clients to uncover their delicate data, the most mainstream correspondence channel to those messages is through clients' emails. Phishing has turned into a generous danger for web cli...
Article
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Currently, we have around us many Smart Objects. With the use of these objects, we can obtain benefits in our daily lives, as well as recommendations and help when we travel. Alternatively, we may increase and improve our industrial processes through the automation of certain tasks. Notwithstanding, we need to use specific software or to develop ou...
Article
Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of popularity in recent times. In the proposed work, a feature vector is obtained by concatenation of features extracted from local mesh peak valley edge pattern (LMePVEP) technique; a dynamic threshold based local mesh ternary pattern technique and texture of the im...
Article
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The creation of computer and videogames is a challenging and multidisciplinary endeavor, requiring different approaches to integrate different disciplines while keeping relatively low development costs. In this context, Domain Specific Languages (DSLs) are increasingly becoming a valid tool, allowing non-programmers to participate in the developmen...
Article
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Scientific programming is a multidisciplinary field that uses advanced methods to understand and solve complex problems. Meanwhile, machine learning is the field that uses statistical techniques to give computer systems the ability to learn and extract knowledge from data, answering questions, and solving problems in various application domains, wi...
Article
Intelligent security systems have evolved enormously in last years. Most of these security systems use a group of physics sensors, algorithms for data analysis and communication systems to notify security alarms. Many security systems that are included in doors can detect intruders when they already open the door, but not while intruders are forcin...
Article
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Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables involved in them. Using Machine Learning Algorithms, we predicted graduation rates in a real case study to support decision ma...
Article
The purpose of this study is to develop a non-invasive neural network classification model for early neonatal sepsis detection. Early neonatal sepsis is a public health issue and one of the leading causes of complications and deaths in neonatal intensive care units. The data used in this study is from Crecer’s Hospital center in Cartagena-Colombia....
Article
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Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision’s structures at HEIs are depicted in the paper and their effectiveness in supporting the institutions’ governance. The disengagement of the stakeholders and the lack of using effici...
Conference Paper
The Internet of Things is our present and the future. The IoT allows us to connect almost any object to automate tasks or to create a smarter object. However, to create a Smarter Object we must rely on Artificial Intelligence. For instance, to create a system to take decisions we can use Fuzzy Logic in order to have more than one possible value aga...
Book
This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies sho...
Article
We propose a user-oriented language to enable users to specify interconnections between heterogeneous objects in the Internet of Things (IoT). Based on the idea of the use case specification technique in software engineering, our language provides users with a natural language like syntax to allow them to specify when or under what conditions they...
Technical Report
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The International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) with ISSN: 2581-3242is in a clear stage of expansion.The journal now appears in popular indexes such as BASE (Bielefeld Academic Search Engine), CrossRef, CiteFactor, DRJI, Google Scholar, Index Copernicus, J-Gate, Portico, PKP-Index, ROAD, Scilit and So...
Article
Full-text available
Data mining is used in various domains of research to identify a new cause for tan effect in the society over the globe. This article includes the same reason for using the data mining to identify the Accident Occurrences in different regions and to identify the most valid reason for happening accidents over the globe. Data Mining and Advanced Mach...
Article
The application of artificial vision to the field of instrumentation and measurement, known as vision-based measurement, is rapidly expanding due to recent developments in the Internet of Things (IoT). In this article, a model for obtaining instrument measurements from analog or digital instruments with no Internet connectivity using digital proces...
Conference Paper
Full-text available
People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different products and services, which are read by millions of people before making a decision. That is why systems for sentiment analysis are...
Article
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Planning tasks performed by a robotic agent require previous access to a map of the environment and the position where the agent is located. This creates a problem when the agent is placed in a new environment. To solve it, the RA must execute the task known as Simultaneous Location and Mapping (SLAM) which locates the agent in the new environment...
Article
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In this work, a prediction model is developed to illustrate the relationship between the internal parameters of a vehicle and its emissions. Vehicles emit various hazardous pollutants and understanding the influence of in-vehicle parameters is key to reducing their environmental impact. The values of the internal parameters were collected through t...
Article
Full-text available
After more than a year, The International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242 has experienced a great growth from every possible point of view. After publishing three editions, we are now indexed in popular sources like BASE, CrossRef, CiteFactor, DRJI, Google Scholar, Index Copernicus, J-Gat...
Article
This research presents a prediction model to evaluate the association between gender, race, BMI, age, smoking, kidney disease and diabetes using logistic regression. Data collected from NHANES datasets from 2007 to 2016. An unbalanced sampling dataset of 19.709 with (83%) non-hypertensive individuals and (17%) hypertensive individuals. Some risk fa...
Article
Full-text available
This paper describes a new proposal for Interactive Television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the Internet and the different elements of the digital age. The digital evolution has encourage the interaction of the viewers with the c...
Technical Report
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It gives us immense pleasure to start the Editorial Note for the International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN No. 2581-3242, a quarterly published, Open Access, peer-reviewed, International Journal. In the New Year 2018, we would like to convey our warm greetings to each one of you. Our wish with...
Article
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This article describes the development of a functional architecture for Personal Knowledge Management, defined from the lessons-learnt concept registered in a mass-use social network analyzed with an algorithm of machine learning. This functional architecture applies, in practical manner, the implementation of a registry system of the personal less...
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