Marco Flores-Calero

Society uses precious gems like diamonds for many specific purposes, but it has always been complex to measure their value. For this reason, we will use the Extreme Learning Machine (ELM) to estimate diamond prices using a popular database, which contains 53,943 round-cut diamonds. The results show an optimal accuracy for both standard and regulari...

Climate change has had a significant impact on honey bee production. For instance, droughts affect the availability of bees' food resources. Consequently, one emerging line of research involves the application of machine learning to model honey production. This paper presents a bibliographic review of machine learning research aimed at predicting h...

This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a reverse chronological analysis, this study examines the advancements introduced by YOLO algorithms, beginning with YOLOv10 and progressing through YOLOv9, YOLOv8, and subsequent v...

Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with real-time object detection capabilities. This state-of-the-art technology is widely available, mainly due to its speed and precision. Since its conception, YOLO has been applied to detect and recognize traffic signs, pedestrians, traffic lights, vehicles, and so o...

Cardiac arrhythmias are one of the main causes of death worldwide; therefore, early detection is essential to save the lives of patients who suffer from them and to reduce the cost of medical treatment. The growth of electronic technology, combined with the great potential of Deep Learning (DL) techniques, has enabled the design of devices for the...

Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, organic carbon, tri-halomethanes, and turbidity. To achieve this more efficiently and accurately, techniques of Machine Learning (ML...

Hydropower systems are the basis of electricity power generation in Ecuador. However, some isolated areas in the Amazon and Galapagos Islands are not connected to the National Interconnected System. Therefore, isolated generation systems based on renewable energy sources (RES) emerge as a solution to increase electricity coverage in these areas. An...

In December 2020 will be two years since the firstcase of COVID-19 was reported by the OMS. Many strategies andpolicies of isolation and social distancing have been put in placearound the world since this event to avoid contagion. At the sametime, many mobile applications started to develop to register andtrace people with suspected coronavirus in...

The fingerprint comes to be the most popular and utilized biometric for identifying persons owing to its bio-invariant characteristic, precision, as well as easy acquisition. A sub-system of an identification system is the classification stage in order to diminish the penetration rate and computational complexity. Actually, there are many formal in...

The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of fingerprints is classification, this has the objective of reducing the search times and the computational cost in the databases. C...

This paper presents a web application to control personnel access to a work area without contact; this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision techniques have been used for face detection and recognition. The system consists of four phases, the first one aimed at detecti...

Sudden Cardiac Death is considered one of the main cause of mortality worldwide. Understanding the origin of this heart disease continues to be a challenge for the scientific community. According to the literature review, T wave alternans has been considered an important, non-invasive indicator to detect and stratify the risk of sudden cardiac deat...

This research presents an application of the Deep Learning technology in the development of an automatic system detection of traffic signs of Ecuador. The development of this work has been divided into two parts, i) in first a database was built with regulatory and preventive traffic signs, taken in urban environments from several cities in Ecuador...

Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing to massive intraclass variability, insignificant inter-class variability, and perturbations, the current fingerprint classific...

Sudden Cardiac Death (SCD) is considered one of the main causes of mortality worldwide. Often, the symptomsappear in healthy persons one hour before the fatal event. The incomprehensible nature of this cardiac disease increases the necessity to develop new methods to predict this pathology. A review of state of the art based on Kitchenham procedure...

Software product lines (SPL) are used in industry to achieve more efficient software development. However, efficient configuration management system is crucial for the success of any SPL. Very few approaches are found on software configuration management (SCM) in SPL. This study aims at surveying existing research on SCM in SPL in order to identify...

Poly(lactic-co-glycolic acid) is one of the most used polymers for drug delivery systems (DDSs). It shows excellent biocompatibility, biodegradability, and allows spatio-temporal control of the release of a drug by altering its chemistry. In spite of this, few formulations have reached the market. To characterize and optimize the drug release proce...

Technologies used in wireless access telecommunications networks, particularly those of mobile telephony, are constantly advancing, achieving this through the development of new techniques and methods that allow reaching an adequate level in very important aspects for a communication system. This article presents the extreme learning machine (ELM)...

En este artículo se presenta un nuevo algoritmo basado en aprendizaje profundo para la detección de peatones en el día y en la noche, denominada multiespectral, enfocado en aplicaciones de seguridad vehicular. La propuesta se basa en YOLO-v5, y consiste en la construcción de dos subredes que se enfocan en trabajar sobre las imágenes en color (RGB)...

Radio-over-fiber orthogonal frequency division multiplexing (RoF-OFDM) technology is negatively affected by laser phase noise and chromatic dispersion optical fiber. These impairments normally generate inter-carrier interference (ICI). An extreme learning machine (ELM)-based receiver for RoF-OFDM schemes is proposed to diminish the ICI effect. The...

Sudden Cardiac Death is considered one of the main cause of mortality worldwide. The incomprehensible nature of this cardiac disease increases the necessity to develop new methods to predict this pathology. According to the literature review, several methods to predict SCD have been developed using Heart Rate Variability (HRV) and T-wave alternans...

In this work, an algorithm based on digital signal processing and machine learning is developed for QRS complexes detection in ECG signals. The algorithm for locating the complexes uses a gradient signal and the KNN classification method. In the first step, an efficient process for denoising signals using Stationary Wavelet Transform (SWT), Discret...

This article presents an algorithm for Ecuadorian regulatory traffic signs detection, under extreme lighting conditions during the day. The method is composed of the following modules, i) video stabilization to reduce vertical oscilation, ii) a method to for obtaining regions of interest (ROIs) based on color information and geometric restrictions,...

Cardiovascular diseases (CVD), and particularly cardia arrhythmias, have become one of the main causes of death in the world, regardless of the level of development of the countries. The detection of cardiac arrhythmias on the electrocardiogram (ECG) is a laborious task for physicians, due to the large amount of information that must be analyzed, w...

En esta investigación se presenta un algoritmo para la autocalibración de los parámetros ex-trínsecos de una cámara estereoscópica mediante el uso de la infraestructura vial y un algoritmometaheurístico, para estimar la altura y los ángulos de cabeceo, balanceo y guiñada. Este algoritmoestá constituido por tres etapas; la primera es la extracción d...

El análisis de la alternancia de la onda T (TWA, T-wave alternans) constituye una de las principales técnicas para determinar la presencia del síndrome de muerte súbita cardíaca (MSC). Entre los métodos existentes para determinar TWA se encuentra el método espectral adaptativo (SM-Adaptativo), el cual utiliza distribuciones en tiempo-frecuencia (TF...

El análisis de la alternancia de la onda T (TWA, T-wave alternans) constituye una de las principales técnicas para determinar la presencia del síndrome de muerte súbita cardíaca (MSC). Entre los métodos existentes para determinar TWA se encuentra el método espectral adaptativo (SM-Adaptativo), el cual utiliza distribuciones en tiempo-frecuencia (TF...

Debido a la falta de autonomía y a la dificultad en las interacciones sociales, las personas con discapacidades físicas, generalmente sufren de una calidad de vida disminuida. El siguiente documento describe el desarrollo de una plataforma móvil de bajo costo capaz de asistir a las personas con severas discapacidades motoras en diferentes interacci...

This article presents an algorithm for the detection of pedestrians in urban driving environments during the day. The main contribution is in the design of a new classifier to discriminate between the person and the background, under partial occlusion. To construct the classifier, the HOG (Histogram of Oriented Gradients) descriptor was used togeth...

In this work an experimental study is presented by verifying the performance of the FIR and IIR filters. These techniques have been used to eliminate the different types of intrinsic noise of the ECG signal. In order to measure the quality of the filters the MIT-BIH database and the metrics, percentage root mean square difference (PRD), signal to n...

Este artículo presenta el desarrollo de un algoritmo para la generación de regiones de interés con alto potencial de contener peatones sobre imágenes monoculares. Para la generación de estas regiones se ha construido un algoritmo de generación de hiperplanos de búsqueda en función de la carretera junto con la generación de ventanas aleatorias, sobr...

The T wave alternans (TWA) is an important phenomenon not only within the clinical field but within the scientific and technological field, it has been considered an important, non-invasive, very promising indicator to stratify the risk of sudden cardiac death. Due to its microvolt amplitude and background noises, sophisticated signal processing te...

En el mundo y en el Ecuador, las altas tasas de accidentes de tráfico son generadas, principalmente, por la falta de respeto a la normativa vial por parte de los usuarios viales, generando costos humanos y materiales de importancia. En este sentido, la localización y el reconocimiento de las señales de tráfico es esencial para la construcción de di...

This paper presents a pedestrian detection system focused on night time conditions for vehicular safety applications. For this purpose we analyze the performance of the recent deep learning detector Faster R-CNN [1] with infrared images for detecting pedestrians at night. We discovered that Faster R-CNN has drawbacks when detecting pedestrians that...

Este artículo presenta un prototipo de un sistema embarcado en un vehículo para la detección de señales de tránsito (SDST). Por lo tanto, un nuevo enfoque para la construcción de un SDST se presenta usando las siguientes innovaciones, i) un método eficiente de segmentación por color para la generación de regiones de interés (ROI) basado en los algo...

En este artículo se presenta un sistema de detección de peatones en la noche, para aplicaciones en seguridad vehicular. Para este desarrollo se ha analizado el desempeño del algoritmo Faster R-CNN con imágenes en el infrarrojo lejano. Por lo que se constató que presenta inconvenientes a la hora de detectar peatones a larga distancia. En consecuenci...

The electrocardiogram signal (ECG) is a bio-signal used to determine cardiac health. However, different types of noise that commonly accompany these signals can hide valuable information for diagnosing disorders. The paper presents an experimental study to remove the noise in ECG signals using the Discrete Wavelet Transform (DWT) theory and a set o...

p>Los accidentes de tráfico son un problema de salud pública a escala mundial, por el alto número de víctimas humanas y los elevados costos económicos y sociales que generan. En este contexto, los peatones se encuentran entre los elementos más importantes y vulnerables de la escena vial que necesitan ser protegidos. Es así que en este trabajo se pr...

Heart electrical activity is measured on the body surface; this measure is known as electrocardiogram (ECG). The ECG signals are commonly accompanied by different types of noise, that can lead to a difficult and imprecise computational process to diagnose heart diseases. In this paper, we propose the Kernel Principal Component Analysis (KPCA) metho...

This paper presents a traffic sign detection method for signs close to road intersections and roundabouts, such as stop and yield (give way) signs. The proposed method relies on statistical templates built using color information for both segmentation and classification. The segmentation method uses the RGB-normalized (ErEgEb) color space for ROIs...

En este trabajo se presenta un sistema de detección de señales de tráfico aledañas a intersecciones viales y rotondas, y un análisis para conocer su capacidad de detección en función de la distancia. El método propuesto está basado en la segmentación por color sobre el espacio RGB-normalizado (ErEgEb) para la generación de regiones de interés (ROIs...

Abstract—The electrocardiogram (ECG) signal is used to assess electrical abnormalities and provides vital information about of heart health. One problem in ECG analysis is the feature extraction due to the intrinsic noise. This paper presents a ECG feature extraction method that consists of the morphology analysis, the fiducial point localization,...

La mayoría de los países en el mundo sufren de varios problemas de tráfico que generan problemas de salud pública, tales como, excesivas muertes y lesiones de los conductores y los peatones. Con el fin de reducir estas cifras de siniestralidad, en esta investigación se presenta un sistema para la detección automática de la distracción y la somnolen...

Ecuador, like many countries around the world, suffer several traffic issues which generate public health problems, for example, severe injuries to drivers and pedestrians. In order to reduce these fatalities, a system for automatic detection of both distraction and drowsiness is presented in this research. Artificial intelligence, computer vision...

En esta investigación se determinan los factores que explican la satisfacción laboral de los profesores de una universidad ecuatoriana. El instrumento de evaluación fue valorado en una muestra de 902 personas. Para el estudio se usó el método de Análisis de Correspondencias Múltiples (ACM). Dicho método generó seis factores, los cuales explican var...

Esta tesis doctoral presenta un sistema para la detección de la somnolencia del conductor, basado en el análisis de los ojos. El sistema tiene la capacidad de adaptarse a cualquier persona, trabaja en tiempo real, bajo condiciones variables de iluminación y reales de conducción, generando en cada instante un índice de somnolencia que mide el estado...