Edgar Tello

• PhD
• Researcher at Autonomous University of Tamaulipas

Air pollution is an issue of great concern globally due to the risks to the health of humanity, animals, and ecosystems. On the one hand, air quality monitoring systems allow for determining the concentration level of air pollutants and health risks through an air quality index (AQI). On the other hand, accurate future predictions of air pollutant...

Implementing approaches based on process mining in inter-organizational collaboration environments presents challenges related to the granularity of event logs, the privacy and autonomy of business processes, and the alignment of event data generated in inter-organizational business process (IOBP) execution. Therefore, this paper proposes a complet...

The incursion of low-cost sensors (LCS) for monitoring particulate matter in different fractions of particles (PM10, PM2.5, and PM1) allows the characterization of the concentration levels of specific sources or events, including the analysis of ultrafine fractions (PM1). Several studies have documented adverse effects on human health due to exposu...

The significant growth of microblogging in social media has caused companies, media outlets, and analysts to look for efficient methods to extract information about people's perceptions of their products and services. In this article, we propose a deep learning-based approach using a hybrid model that combines a convolutional neural network (CNN) a...

Continuous measurements of PM10, PM2.5, and PM1 concentrations were carried out by collocating a GRIMM Aerosol Laser Spectrometer model 11-C as a reference instrument and three Plantower PMS7003 low-cost sensor (LCS) from June 11, 2019, to April 23, 2020, in a residential/commercial area of the city of Santiago de Chile. Completeness, precision, li...

In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources since each trace linked to a case shows the consecutive execution of events in a healthcare process....

The air quality index (AQI) provides information on air quality and its impact on human health using a single number. The AQI is derived from the measured concentration of air pollutants over a period. In this work, we present an approach based on deep learning using the long short-term memory (LSTM) neural network architecture, with the ability to...

Currently, the COVID-19 infection has caused a global pandemic, affecting the population of many countries on all continents. In this paper, we propose a model based on a convolutional neural network (CNN)—long short-term memory (LSTM) with the ability to predict the probable number of new confirmed COVID-19 cases for the next few days. In the test...

Process mining is a novel alternative that uses event logs to discover, monitor, and improve real business processes through knowledge extraction. Event logs are a prerequisite for any process mining technique. The extraction of event data and event log building is a complex and time-intensive process, with human participation at several stages of...

In the software development lifecycle (SDLC) testing phase, extensive testing is performed on the code and programming to confirm that the software system operates according to the customer's requirements. The testing phase results are stored in event logs at system run-time. Process mining techniques aim to discover processes, verify conformance,...

Air pollution is associated with respiratory diseases and the transmission of infectious diseases. In this context, the association between meteorological factors and poor air quality possibly contributes to the transmission of COVID-19. Therefore, analyzing historical data of particulate matter (PM2.5 and PM10) and meteorological factors in indoor...

The lockdown measures implemented due to the SARS-CoV-2 pandemic to reduce the epidemic curve, in most cases, have had a positive impact on air quality indices. Our study describes the changes in the concentration levels of PM2.5 and PM10 during the lockdown and post-lockdown in Victoria, Mexico, considering the following periods: before the lockdo...

Process Mining allows organizations to obtain actual business process models from event logs (discovery), to compare the event log or the resulting process model in the discovery task with the existing reference model of the same process (conformance), and to detect issues in the executed process to improve (enhancement). An essential element in th...

In an inter-organizational environment, the discovery of process choreography is challenging because the different organizations involved have to put together their partial knowledge about the overall collaborative business process. This chapter presents a methodology to merge the event logs of the different partners of a collaborative business pro...

Foliar disease is common problem in plants; it appears as an abnormal change in the plant’s characteristics, such as the presence of lesions and discolorations, among others. These problems may be related to plant growth, which causes a decrease in crop production, impacting the agricultural economy. The causes of leaf damage can be variable, such...

Information systems daily register a large amount of data in event logs. All these data can be used for the organizations to automatically discover their process models. However, the automatic construction of simple process models with consistently high and balanced fitness and precision remains a challenging task, which has attracted the attention...

La calidad en el servicio se considera una alternativa para que las empresas puedan obtener una ventaja competitiva y sostenible en un entorno económico globalizado. Las pequeñas y medianas empresas deben ofrecer una mayor calidad en el servicio que las empresas grandes, y así obtener la preferencia de los clientes. El objetivo de este estudio fue...

This study aims to analyze the correlation between environmental factors and confirmed cases of COVID-19 pandemic in Victoria, Mexico. The analysis is performed at the micro-level, filtering only confirmed cases of COVID-19 that are located near air quality monitoring stations, within an approximate coverage of 2.5 km, in order to identify a possib...

Process mining techniques aim to discover, monitor and improve the processes performed by an organization through the extraction of knowledge from the data contained in the event logs. In some cases, within the task of discovery of business process models discovered can be difficult to understand and interpret because of the large number of behavio...

Automatic image segmentation is a fundamental task in many applications such as video surveillance, image retrieval, medical image analysis, recognition, tracking and objects classification. This task is not easy due to the complexity of image features as well as the number of objects within the images which is unknown in most of the time. However,...

Image annotation is the task of assigning keywords or identifiers to images, holistically or in specific regions. These keywords serve as descriptors of high-level semantics to facilitate retrieval and organization of visual information. It plays an important role in content-based image understanding, as well as in areas such as object recognition...

The main problem with the current technology solutions for Internet of Things (IoT) is located at the application level, in which there is still a lack of software components, frameworks, and tools which can help end-users to easily develop IoT applications and to manage the things or objects. These requirements lead to the use of the principles of...

The Internet of Things can be understood as an infrastructure of the dynamic global network with a capacity of self-configuration, based on standard communication protocols, where things-physical and virtual-have an identity, physical attributes, and virtual personalities. In this paper, we propose a methodology based on Model-Driven Engineering wi...

El Internet de las Cosas (Internet of Things, IoT) es una parte integral de la Internet del futuro. IoT se puede entender como una infraestructura de red global dinámica con capacidad de auto configuración, basada en protocolos de comunicacióon estándar e interoperables, donde cosas físicas y virtuales tienen identidad, atributos físicos y personal...

We propose to couple the R 2 performance measure and Particle Swarm Optimization in order to handle multi/many-objective problems. Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the R 2 performance measure we did not use neither an external archive nor Pareto do...

Integrated health services are characterized by a high degree of collaboration and communication among health professionals, as well as a merge of political, administrative, and technical actions, which can allow the sharing of information among healthcare team members (physicians, nurses, managers, and other stakeholders) related to patient care,...

Multiobjective evolutionary algorithms have incorporated surrogate models in order to reduce the number of required evaluations to approximate the Pareto front of computationally expensive multiobjective optimization problems. Currently, few works have reviewed the state of the art in this topic. However, the existing reviews have focused on classi...

Word Sense Disambiguation (WSD) is a fundamental task useful for Information Retrieval, Information Extraction, web search, and indexing, among others. In the literature there exist several works dedicated to generic WSD task, but in recent years domain-specific WSD has attracted the attention of several researchers. In this sense, this paper descr...

Domain ontologies facilitate the organization, sharing, and reuse of domain knowledge. The construction of ontologies from text deals with the extraction of concepts and relations from text collection. A huge challenge is the learning of more expressive ontologies which includes relations such as disjointness or equivalence between classes. In our...

The access to medical information (journals, blogs, web-pages, dictionaries, and texts) has been increased due to availability of many digital media. In particular, finding an appropriate structure that represents the information contained in texts is not a trivial task. One of the structures for modeling the knowledge are ontologies. An ontology r...

En el presente artículo de investigación se propone un enfoque para la gestión de conocimiento en el ambiente de colaboraciones inter-organizacionales o redes de colaboración dinámicas. El conocimiento es extraído de la base de datos de registros de eventos, el cual es generado mediante la operación de los sistemas de información inter-organizacion...

The growing importance of cooperation among organizations, as a result of globalization, current market opportunities and technological advances, encourages organizations to dynamically establish inter-organizational collaborations. These collaborations are carried out by executing collaborative business processes among the organizations. In this w...

The globalization, modern markets, as well as new organizational management philosophies and advances in Information and Communications Technologies, encourage organizations to establish collaboration networks or inter-organizational collaborations. In this paper we propose a technology solution based on software agents which allows supporting the...

Nowadays, robotics is considered one of the main areas of interest in science and technology. In almost all sectors of the society we encounter the robotization, i.e., automated systems. In industry, robots are used for welding, transporting, assembling and painting pieces. In medicine, sophisticated robots help to conduct complex surgeries. In the...

The paper presents a methodology that follows a top-down approach based on a Model-Driven Architecture for integrating and coordinating healthcare services through cross-organizational processes to enable organizations providing high quality healthcare services and continuous process improvements. The methodology provides a modeling language that e...

Current market opportunities and the growth of new Internet technologies encourage organizations to dynamically establish Business-to-Business (B2B) collaborations. B2B interactions are carried out by executing collaborative business processes among the parties. In this work we propose B2B collaboration agents for managing B2B interactions that all...

The design and implementation of collaborative business processes and the Business-to-Business (B2B) systems that support them is an important issue in order to enable enterprises to set up B2B collaborations. This involves new challenges, mainly regarding the ability to cope with change, decentralized management, peer-to-peer interactions, preserv...

Nowadays, organizations establish Business-to-Business (B2B) collaborations with their business partners. Inter-organizational collaboration is carried out through the execution of collaborative business processes. Organizations are requiring and undergoing the setting up of dynamic B2B collaborations, instead of conducting face-to-face negotiation...

An approach to improving the management of complexity during the redesign of technical processes by means of MBR and CBR techniques is proposed. The key point of this approach is the multi-model hierarchical representation to group items of equipment of a technical process in functional sections according to their functions and intentions. A CBR sy...

This paper proposes a methodology for the automatic learning of ontologies from a text corpus. The concepts (topics) from documents into the corpus are identified by using the Latent Dirichlet Allocation model. Based on theset of identified topics, for each concept it is constructed its taxonomy by using the terms with greater probability which con...

It is desirable to achieve a knowledge society in which individuals are fully incorporated in the generating of knowledge, and in which knowledge societies are sources of development for all, especially for less developed countries. This article aims to analyse the role of the digital gap and the cognitive gap within knowledge societies as causes o...

Es deseable alcanzar una sociedad del conocimiento donde la inclusión de los individuos en la generación de conocimiento sea total, que las sociedades del conocimiento sean fuentes de desarrollo para todos, y sobre todo para los países menos adelantados. El presente artículo tiene como propósito analizar el papel de la brecha digital y la brecha co...