Abdelhamid Tayebi

Abdelhamid Tayebi

Universidad de Alcalá

H-index: 11

Europe-Spain

Abdelhamid Tayebi Information

University

Universidad de Alcalá

Position

Profesor en la

Citations(all)

441

Citations(since 2020)

158

Cited By

323

hIndex(all)

11

hIndex(since 2020)

7

i10Index(all)

12

i10Index(since 2020)

5

Email

University Profile Page

Universidad de Alcalá

Abdelhamid Tayebi Skills & Research Interests

Ciencias de la Computación

Top articles of Abdelhamid Tayebi

Unraveling the Impact of Class Imbalance on Deep-Learning Models for Medical Image Classification

The field of image analysis with artificial intelligence has grown exponentially thanks to the development of neural networks. One of its most promising areas is medical diagnosis through lung X-rays, which are crucial for diseases like pneumonia, which can be mistaken for other conditions. Despite medical expertise, precise diagnosis is challenging, and this is where well-trained algorithms can assist. However, working with medical images presents challenges, especially when datasets are limited and unbalanced. Strategies to balance these classes have been explored, but understanding their local impact and how they affect model evaluation is still lacking. This work aims to analyze how a class imbalance in a dataset can significantly influence the informativeness of metrics used to evaluate predictions. It demonstrates that class separation in a dataset impacts trained models and is a strategy deserving more attention in future research. To achieve these goals, classification models using artificial and deep neural networks implemented in the R environment are developed. These models are trained using a set of publicly available images related to lung pathologies. All results are validated using metrics obtained from the confusion matrix to verify the impact of data imbalance on the performance of medical diagnostic models. The results raise questions about the procedures used to group classes in many studies, aiming to achieve class balance in imbalanced data and open new avenues for future research to investigate the impact of class separation in datasets with clinical pathologies.

Authors

Carlos J Hellín,Alvaro A Olmedo,Adrián Valledor,Josefa Gómez,Miguel López-Benítez,Abdelhamid Tayebi

Journal

Applied Sciences

Published Date

2024/4/18

Optimizing Antenna Positioning for Enhanced Wireless Coverage: A Genetic Algorithm Approach

The precise placement of antennas is essential to ensure effective coverage, service quality, and network capacity in wireless communications, particularly given the exponential growth of mobile connectivity. The antenna positioning problem (APP) has evolved from theoretical approaches to practical solutions employing advanced algorithms, such as evolutionary algorithms. This study focuses on developing innovative web tools harnessing genetic algorithms to optimize antenna positioning, starting from propagation loss calculations. To achieve this, seven empirical models were reviewed and integrated into an antenna positioning web tool. Results demonstrate that, with minimal configuration and careful model selection, a detailed analysis of antenna positioning in any area is feasible. The tool was developed using Java 17 and TypeScript 5.1.6, utilizing the JMetal framework to apply genetic algorithms, and features a React-based web interface facilitating application integration. For future research, consideration is given to implementing a server capable of analyzing the environment based on specific area selection, thereby enhancing the precision and objectivity of antenna positioning analysis.

Authors

Francisco Calles-Esteban,Alvaro Antonio Olmedo,Carlos J Hellín,Adrián Valledor,Josefa Gómez,Abdelhamid Tayebi

Journal

Sensors

Published Date

2024/3/28

Influence of gamification on the commitment of the students of a programming course: a case study

In the realm of programming education, enhancing student commitment is pivotal for both academic success and practical application. Traditional methodologies often fall short in catering to the evolving needs of today’s learners. Addressing this gap, this paper introduces a web-based gamified tool designed to transform the pedagogical approach in programming courses. The study’s theoretical contribution lies in its exploration of gamification as a strategy to augment student commitment, bridging the divide between conventional teaching and contemporary learning needs. From a practical standpoint, empirical data encompassing performance metrics, dropout rates, and student feedback demonstrate the tool’s significant positive impact. Notably, students exhibited improved pass rates and reduced dropout tendencies, underscoring the tool’s practical efficacy. Furthermore, feedback highlighted the tool’s usability and the enhanced satisfaction derived from its engagement. Aligned with the existing literature, the findings advocate for the broader adoption of gamification in programming education. This research substantiates the potential of gamification as both a theoretical model and a practical strategy, enriching the discourse on modern programming education.

Authors

Francisco Calles-Esteban,Carlos J Hellín,Abdelhamid Tayebi,Hanli Liu,Miguel López-Benítez,Josefa Gómez

Journal

Applied Sciences

Published Date

2024/4/20

Design and Implementation of an Innovative High-Performance Radio Propagation Simulation Tool

This paper presents the development and improvement of a high-performance validated radio propagation simulation platform. The design and implementation process of the proposed wireless network planning tool aims to achieve the best human-computer interaction. It takes as a base a previously developed version that allowed the visualization of geospatial data and the use of empirical and semi-empirical algorithms to analyze macrocellular environments. Now, the application also allows the use of the ray launching technique to obtain accurate predictions in urban environments, visualize multiple raster data and display the results dynamically while they are being calculated. The implementation of a 3D geometry reconstruction system has also been included to allow the automatic loading of geospatial information provided by open-source tools such as OpenStreetMap and LiDAR. The 3D reconstruction …

Authors

Josefa Gómez,Carlos J Hellín,Adrián Valledor,Marcos Barranquero,Juan J Cuadrado-Gallego,Abdelhamid Tayebi

Journal

IEEE Access

Published Date

2023/8/31

A Comparative Study on R Packages for Text Mining

The term Text Mining , which is given to the set of techniques used for the extraction, cleaning and processing of the information in texts, has become useful to provide valuable information to other algorithms and widely used with statistical and machine learning methods. By enabling the extraction of useful insights from textual data, Text Mining has become a potent tool in decision-making and knowledge discovery across many areas, including health care, government, education and industry. R is a mature open-source programming environment that has overstepped its initial scope of application for statistical computing and graphics to be used in pretty all the Data Science knowledge Area Groups. The objective of this paper is to present review and benchmarking analysis of packages for text mining techniques with R in computational systems. The paper reviews thirteen different packages comparing them on …

Authors

Carlos J Hellín,Adrián Valledor,Luis Usero,Juan J Cuadrado-Gallego,Abdelhamid Tayebi,Josefa Gómez

Journal

IEEE Access

Published Date

2023/8/31

The Eclectic Approach in English Language Teaching Applications: A Qualitative Synthesis of the Literature

This paper proposes a study of the methodologies used to teach English as a second language through computer applications. It reviews the different methodologies used in language teaching in order to contrast them with different fundamental approaches. It examines the applications used for teaching English online, especially those in line with personalised learning environments and learner-centred autonomy. The use of a mixed methodology is reported, allowing the selection of papers from both a traditional systematic review and the search engine elicit.org. Finally, it is concluded that Blended Learning is the most appropriate method, highlighting that current applications are mainly based on the Audio-Lingual method, which limits their practical use in wider contexts. Further research is needed on software applications that prioritise personalised learning environments with learner-centred autonomy, incorporating technologies based on Blended Learning and artificial intelligence (AI). To this end, it is proposed in the future to develop an application using Automatic Speech Recognition (ASR), Text To Speech (TTS), Natural Language Understanding (NLU) and Dialog Management (DM) algorithms, focusing on the above and simulating the capabilities of a teacher. This may lead to innovations in the development of software applications capable of integrating different methods, teaching modalities and learning methods.

Authors

Adrián Valledor,Alvaro Olmedo,Carlos J Hellín,Abdelhamid Tayebi,Salvador Otón-Tortosa,Josefa Gómez

Published Date

2023/8/3

Plane-wave UTD-PO formulation for multiple-plateau diffraction analysis assuming negative incidence angles

We present a detailed methodology for investigating radiowave multiple diffraction events over rectangular barriers (here termed plateaus) when exposed to a plane wave originating from a low-lying source. Based on Babinet’s principle, our approach uses the combined uniform theory of diffraction-physical optics (UTD-PO), and is validated via 60 GHz measurements performed on a scaled replica of the setting under investigation. As an additional validation, theoretical results at 2 GHz of the corresponding spherical-wave solution converge with those of the presented plane-wave formulation with expanding distance between the source and the first obstacle. The proposed method has a crucial advantage in that it solely considers single diffractions via recursion, thus precluding the need for the diffraction coefficients to include higher order diffraction terms. The work’s findings and insights are salient for mobile …

Authors

José Lorente-López,José-Víctor Rodríguez,María-Teresa Martínez-Inglés,Jose-Maria Molina Garcia-Pardo,Abdelhamid Tayebi,Josefa Gómez,Leandro Juan-Llácer,Ignacio Rodríguez-Rodríguez

Journal

AEU-International Journal of Electronics and Communications

Published Date

2023/12/1

Accelerated Ray Launching Method for Efficient Field Coverage Studies in Wide Urban Areas

The implementation of a fast and efficient computer tool for field coverage studies in urban mobile radio systems is presented in this work. An accelerated and tailored ray launching method takes advantage of a ray tracing programmable framework optimized for massively parallel processing on GPUs. The PlotOptiX API is used to customize the code before applying the electromagnetic equations. The proposed code is described, and results are shown to demonstrate its correct operation. A high number of diffractions and reflections can be tracked in each ray from the transmitter to the receiver. In addition to the typical point-to-point simulation, measurement planes can also be set as receivers to provide fast predictions in wide urban areas.

Authors

Josefa Gómez,Abdelhamid Tayebi,Carlos J Hellín,Adrián Valledor,Marcos Barranquero,Juan J Cuadrado-Gallego

Journal

Sensors

Published Date

2023/7/14

Advanced Web Tool for the Optimization of Antenna Positioning based on Evolutionary Algorithms

In this paper, the development of an advanced web tool for the optimization of antenna positioning based on evolutionary algorithms is presented. The system includes a web interface that allows the user to configure the parameters of the evolutionary algorithms. The configuration of these optimization parameters, as well as the subsequent visualization of the results, are integrated into the web interface itself. The results are displayed in real-time, making the optimization process easy to follow. Java and TypeScript programming languages were used in the implementation of this tool. Optimizations are performed using the JMetal framework, which provides facilities and varieties of evolutionary algorithms. A Web interface was created with React, which made the integration with the application more feasible. Finally, the tool, in addition to optimizing antennas, can be used to obtain a comparative analysis of the …

Authors

Carlos J Hellín,Hanli Liu,Francisco Calles,Abdelhamid Tayebi,Juan J Cuadrado-Gallego,Josefa Gómez

Published Date

2023/10/9

LearningRlab: Educational R Package for Statistics in Computer Science Engineering

This paper describes and evaluates the educational interest of LearningRlab, an educational R package developed for teaching statistics in computer science engineering. The package was developed by final degree project students to be used as an educational environment for statistics students who evaluated the package and provided feedback for future versions. Such a process increases the motivation of both groups of students. This paper presents how the use of the R packages conceived and developed for engineering education can improve the learning process in the computer science engineering bachelor’s degree. Two different evaluations, one performed by a group of statistics students, and the other performed by final degree project students, were used to evaluate the impact on the learning process of the first version of the package to develop the second version of the package, which corrects and enhances the first version. The evaluation results show a positive effect on the learning process in both subjects. The analysis of the learning outcomes reflected in the grades of the experimental and control groups demonstrates that LearningRlab can be used as a teaching aid for statistics and final degree project subjects of the computer science engineering degree. The average laboratory grade of the students who used the package (5.76) was noticeably higher than the average laboratory grade of students who did not use it (1.84).

Authors

Juan J Cuadrado-Gallego,Josefa Gómez,Abdelhamid Tayebi,Luis Usero,Carlos J Hellín,Adrián Valledor

Journal

Sustainability

Published Date

2023/5/18

Enhancing student motivation and engagement through a gamified learning environment

Gamification is a viable strategy used to enhance motivation and engagement in programming classes among students. However, automated evaluation capabilities, which are crucial for giving students fast and correct feedback, are frequently lacking in currently available gamification technologies. This study proposes a novel web-based application that combines automated programming assessment features with gamification concepts; the aim is to provide students taking a programming course with an engaging learning environment. A survey conducted with 215 undergraduate students assessed how the tool affected the motivation and engagement of students. The findings show that the tool had a beneficial impact on students’ willingness to participate in class, study, increase their self-confidence, engage in healthy competition with peers, and learn from their mistakes. The qualitative feedback that students offered regarding the features of the tool that they liked best is also covered in the study. This paper contributes to the field of programming education by presenting a detailed gamified tool, incorporating automated evaluation and gamification in a web-based platform.

Authors

Carlos J Hellín,Francisco Calles-Esteban,Adrián Valledor,Josefa Gómez,Salvador Otón-Tortosa,Abdelhamid Tayebi

Journal

Sustainability

Published Date

2023/9/24

Automatic 3D Building Reconstruction from OpenStreetMap and LiDAR Using Convolutional Neural Networks

This paper presents the implementation of an automatic method for the reconstruction of 3D building maps. The core innovation of the proposed method is the supplementation of OpenStreetMap data with LiDAR data to reconstruct 3D urban environments automatically. The only input of the method is the area that needs to be reconstructed, defined by the enclosing points in terms of the latitude and longitude. First, area data are requested in OpenStreetMap format. However, there are certain buildings and geometries that are not fully received in OpenStreetMap files, such as information on roof types or the heights of buildings. To complete the information that is missing in the OpenStreetMap data, LiDAR data are read directly and analyzed using a convolutional neural network. The proposed approach shows that a model can be obtained with only a few samples of roof images from an urban area in Spain, and is capable of inferring roofs in other urban areas of Spain as well as other countries that were not used to train the model. The results allow us to identify a mean of 75.57% for height data and a mean of 38.81% for roof data. The finally inferred data are added to the 3D urban model, resulting in detailed and accurate 3D building maps. This work shows that the neural network is able to detect buildings that are not present in OpenStreetMap for which in LiDAR data are available. In future work, it would be interesting to compare the results of the proposed method with other approaches for generating 3D models from OSM and LiDAR data, such as point cloud segmentation or voxel-based approaches. Another area for future research could be …

Authors

Marcos Barranquero,Alvaro Olmedo,Josefa Gómez,Abdelhamid Tayebi,Carlos Javier Hellín,Francisco Saez de Adana

Journal

Sensors

Published Date

2023/2/22

Analysis on the lack of motivation and dropout in engineering students in Spain

The dropout rate of engineering students is a concerning problem at the present time in many countries, resulting in difficulties to follow the demand of professionals in certain technological sectors as well as an associated negative economic impact. This study identifies a number of factors affecting the motivation degree of current electrical and computer engineering students, as well as the main reasons behind the dropout. A survey was completed by 624 students belonging to 8 different Spanish universities, rating the factors that could influence them to abandon their studies and those affecting their motivation to continue studying. Non-parametric analyses were performed in order to test the association of motivation as well as self-reported likelihood of dropping out with several variables. According to the research results, 23 of the 40 analyzed factors are correlated with the degree of motivation and 14 factors are …

Authors

Abdelhamid Tayebi,Josefa Gómez,Carlos Delgado

Journal

IEEE Access

Published Date

2021/4/30

On the use of ray tracing programmable frameworks for radio wave propagation prediction

This work focuses on the use of ray tracing programmable frameworks, like Nvidia Optix, for radio wave propagation prediction. Although these frameworks are oriented to graphics visualization, they can be tailored to calculate specular reflections on walls and diffractions in edges of buildings. Once all the paths between the transmitter and the receiver are obtained, Maxwell"s equations can be applied to compute the path loss or the received power.

Authors

Marcos Barranquero Fernandez,Juan Casado Ballesteros,Josefa Gómez Pérez,Abdelhamid Tayebi Tayebi

Published Date

2021/8/26

Docker security in web simulation tools: a layered approach

In this work, container security issues and strengths are studied using Docker as the main implementation. First, the container infrastructure is described and compared against the traditional approach of virtual machines. Secondly, the Docker containers security is discussed by the different infrastructure layers that compose them and different solutions are proposed to try to decrease the attack surface over this kind of applications.

Authors

Marcos Barranquero Fernandez,Juan Casado Ballesteros,Josefa Gómez Pérez,Abdelhamid Tayebi Tayebi,José A Jiménez Calvo

Published Date

2021/8/26

On the application of radio planning tools in open environments for the improvement of autoguidance systems used in precision agriculture

Real Time Kinematic (RTK) systems, together with Global Navigation Satellite System (GNSS) networks, are real-time location systems that are widely used in precision agriculture for autoguidance systems in farm vehicles. The RTK uses a reference signal from a base station, and the accuracy of the autoguidance system depends strongly on the signal quality arriving at the receiver that is installed in the vehicle or rover. In this paper, the relationship between the accuracy of the autoguidance systems and the propagation losses between the vehicle and the reference station is studied. The Covermap software tool, which was developed by the authors and validated with measurements, is used to determine the propagation losses. The advantage of this tool is that it allows analyzing any environment because it uses real geographical terrain data obtained from OpenStreetMap. In addition, the results are obtained …

Authors

Marián Fernández de Sevilla,Óscar Gutiérrez,Josefa Gómez,Abdelhamid Tayebi,Ángel Álvarez,Francisco Sáez de Adana

Journal

Computers and Electronics in Agriculture

Published Date

2021/8/1

Factors that influence career choice in engineering students in Spain: A gender perspective

Contribution This article explores the factors favoring the enrollment in engineering studies in Spain, analyzing gender differences. Background Understanding the motivation of choosing engineering studies is very important in order to strengthen this choice in future promotions in Spain, considering that it is well below the average of the European Union at the present time. Research Questions What are the main factors that influence students to choose engineering studies? Are there any noticeable differences between those affecting male and female students? Methodology Data were collected from a survey completed by 624 students and an exploratory study was performed extracting five components. Independent sample -tests were used to determine significant differences between the answers of males and females. Findings The factors found in the exploratory analysis were “Interest and …

Authors

Josefa Gómez,Abdelhamid Tayebi,Carlos Delgado

Journal

IEEE Transactions on Education

Published Date

2021/7/12

Low-cost experimental application of real-time kinematic positioning for increasing the benefits in cereal crops

Traditional agriculture is facing several challenges worldwide such as increased population growth, rapid forestry and urbanization, resource scarcity, climate change, environmental pollution, competition among different markets. Hence, farmers need to improve productivity in order to maintain the output level. This study attempted to evaluate the benefits of using Real-Time Kinematic (RTK) positioning in precision agriculture through a series of real measurements carried out when farming cereals. All farming management actions involved in the cereal crop process (raise fallow, plow, sow, fertilize, mow, and harvest) have been done using an automatic guidance system that has reduced costs. A reduction of 20% has been quantified in the fuel, the amount of fertilizer, the labor costs and the hours of work. Consequently, the environmental impact has been also reduced. An inexpensive system consisting of a reference base station near the field and a mobile unit mounted on the test vehicle has been installed in order to increase the benefits in cereal crops. Global Navigation Satellite System (GNSS) systems including Global Positioning System (GPS), GLONASS, Galileo and Beidou have been used in the analysis. This research serves as a practical guide to implementing a low-cost guidance system to achieve best management practice.

Authors

Abdelhamid Tayebi,Josefa Gómez,Marián Fernández,Francisco Sáez de Adana,Oscar Gutiérrez

Journal

International Journal of Agricultural and Biological Engineering

Published Date

2021/6/11

Applications of Geographic Information Systems for Wireless Network Planning

This practical book shows the procedure to integrate, in a practical way, empirical propagation methods with geographical information systems (GIS) to obtain the radio coverage in open environments. It includes the theoretical explanation of empirical methods and GIS but as a basis to develop a real tool that combines both aspects to provide the user a suitable method for the wireless network planning in urban areas. The book introduces the empirical propagation methods and their application to wireless network planning. The motivation for combining them with the information obtained from geographical information systems is illustrated as well as their application to real situations. The most important empirical methods used to calculate the propagation in open environments are reviewed. Focus is given to the geometrical information needed to prove the necessity of obtaining some geographical information if these methods must be applied to realistic network planning. A review of the most important GIS is also described. The advantages and disadvantages of every system is analyzed from the point of view of its integration with an empirical propagation method. An application that combines a geographical information system with an empirical propagation method is fully described. The practical features of this integration are completely studied to allow an engineer to use and develop his own tool. Examples are given in each chapter to fully describe and illustrate the process.

Authors

Francisco Saez De Adana,Abdelhamid Tayebi Tayebi,Juan Casado Ballesteros,Josefa Gómez Pérez

Published Date

2020/9/30

Extraction and Use of Geometry Data to Obtain 3D Buildings on a Web Map

This work shows a comparison between two different techniques to obtain 3D buildings on a web map. The first one is based on the XYZ Tiles server of OSM Buildings and the second one is based on the Overpass servers of the collaborative project OpenStreetMap. Several simulations have been carried out to analyze their performance. Benefits and limitations of both methods are discussed.

Authors

Josefa Gómez Pérez,Abdelhamid Tayebi Tayebi,Juan Casado Ballesteros

Published Date

2020/9/27

On the use of Websockets to maintain temporal states in stateless applications

This paper studies the use of Websockets to maintain temporal states in stateless applications. Concretely, it is used in a web-based application that calculates the propagation loss in outdoor environments. The reasons why Websockets are used and their limitations are discussed. A comparison with other similar technologies is also included.

Authors

Josefa Gómez Pérez,Abdelhamid Tayebi Tayebi,Juan Casado Ballesteros

Published Date

2020/9/27

Abdelhamid Tayebi FAQs

What is Abdelhamid Tayebi's h-index at Universidad de Alcalá?

The h-index of Abdelhamid Tayebi has been 7 since 2020 and 11 in total.

What are Abdelhamid Tayebi's top articles?

The articles with the titles of

Unraveling the Impact of Class Imbalance on Deep-Learning Models for Medical Image Classification

Optimizing Antenna Positioning for Enhanced Wireless Coverage: A Genetic Algorithm Approach

Influence of gamification on the commitment of the students of a programming course: a case study

Design and Implementation of an Innovative High-Performance Radio Propagation Simulation Tool

A Comparative Study on R Packages for Text Mining

The Eclectic Approach in English Language Teaching Applications: A Qualitative Synthesis of the Literature

Plane-wave UTD-PO formulation for multiple-plateau diffraction analysis assuming negative incidence angles

Accelerated Ray Launching Method for Efficient Field Coverage Studies in Wide Urban Areas

...

are the top articles of Abdelhamid Tayebi at Universidad de Alcalá.

What are Abdelhamid Tayebi's research interests?

The research interests of Abdelhamid Tayebi are: Ciencias de la Computación

What is Abdelhamid Tayebi's total number of citations?

Abdelhamid Tayebi has 441 citations in total.

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