Search

Your search keyword '"Tello-Leal, Edgar"' showing total 108 results
Start Over Author "Tello-Leal, Edgar"
108 results on '"Tello-Leal, Edgar"'

1. A Hybrid CNN-LSTM Approach for Sentiment Analysis

Author

Ramirez-Alcocer, Ulises Manuel, Tello-Leal, Edgar, Hernandez-Resendiz, Jaciel David, Romero, Gerardo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Sandeep, editor, Balachandran, K., editor, Kim, Joong Hoon, editor, and Bansal, Jagdish Chand, editor

Published
2024
Full Text
View/download PDF

2. A LSTM Deep Learning Approach for Forecasting Global Air Quality Index

Author

Ramirez-Alcocer, Ulises Manuel, Tello-Leal, Edgar, Hernandez-Resendiz, Jaciel David, Macías-Hernández, Bárbara A., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Sandeep, editor, Sharma, Harish, editor, Balachandran, K., editor, Kim, Joong Hoon, editor, and Bansal, Jagdish Chand, editor

Published
2023
Full Text
View/download PDF

3. Evaluation of Machine Learning Techniques for Malware Detection

Author

Mata-Torres, Jonathan Alfonso, Tello-Leal, Edgar, Hernandez-Resendiz, Jaciel David, Ramirez-Alcocer, Ulises Manuel, Kacprzyk, Janusz, Series Editor, Jain, Lakhmi C., Series Editor, Zapata-Cortes, Julian Andres, editor, Sánchez-Ramírez, Cuauhtémoc, editor, Alor-Hernández, Giner, editor, and García-Alcaraz, Jorge Luis, editor

Published
2023
Full Text
View/download PDF

7. A Deep Learning Model for Early Prediction of COVID-19 Spread

Author

Ramirez-Alcocer, Ulises Manuel, Tello-Leal, Edgar, Hernandez-Resendiz, Jaciel David, Macias-Hernandez, Barbara Azucena, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Pandit, Manjaree, editor, Gaur, M. K., editor, Rana, Prashant Singh, editor, and Tiwari, Akhilesh, editor

Published
2022
Full Text
View/download PDF

11. Merging Event Logs for Inter-organizational Process Mining

Author

Hernandez-Resendiz, Jaciel David, Tello-Leal, Edgar, Marin-Castro, Heidy Marisol, Ramirez-Alcocer, Ulises Manuel, Mata-Torres, Jonathan Alfonso, Kacprzyk, Janusz, Series Editor, Zapata-Cortes, Julian Andres, editor, Alor-Hernández, Giner, editor, Sánchez-Ramírez, Cuauhtémoc, editor, and García-Alcaraz, Jorge Luis, editor

Published
2021
Full Text
View/download PDF

14. A Data-Driven Approach to Discovering Process Choreography.

Author

Hernandez-Resendiz, Jaciel David, Tello-Leal, Edgar, and Sepúlveda, Marcos

Subjects
*CHOREOGRAPHY, *PROCESS mining, *COMMERCIAL statistics, *NATURAL language processing
Abstract

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 complete and modular data-driven approach that implements natural language processing techniques, text similarity, and process mining techniques (discovery and conformance checking) through a set of methods and formal rules that enable analysis of the data contained in the event logs and the intra-organizational process models of the participants in the collaboration, to identify patterns that allow the discovery of the process choreography. The approach enables merging the event logs of the inter-organizational collaboration participants from the identified message interactions, enabling the automatic construction of an IOBP model. The proposed approach was evaluated using four real-life and two artificial event logs. In discovering the choreography process, average values of 0.86, 0.89, and 0.86 were obtained for relationship precision, relation recall, and relationship F-score metrics. In evaluating the quality of the built IOBP models, values of 0.95 and 1.00 were achieved for the precision and recall metrics, respectively. The performance obtained in the different scenarios is encouraging, demonstrating the ability of the approach to discover the process choreography and the construction of business process models in inter-organizational environments. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

19. Association between Ambient Air Pollution by Particulate Matter (PM 2.5) and Vehicular Traffic in Downtown Port City of Tampico, Mexico †.

Author

Nava-Velez, Mariela Estefania, Macías-Hernández, Bárbara A., Tello-Leal, Edgar, and Ventura-Houle, René

Subjects
AIR pollution, PARTICULATE matter, STATISTICAL correlation, QUADRANTS (Astronomical instruments), RANK correlation (Statistics)
Abstract

The objective of this study was to statistically analyze the concentration of pollution in the air by PM2.5 particulate matter and vehicular traffic using a methodology based on quadrants, considering the periods of "working" and "holiday" activities in the downtown area from the port city of Tampico, Mexico. The vehicular traffic count was carried out in three hourly ranges per day for a week in each period. Moreover, an analysis of the correlation coefficient based on the Spearman method was carried out, both in the working and vacation periods, between the variables of PM2.5 concentration and total vehicular traffic by the hourly range and by day in each quadrant. A strong to very strong correlation (0.828 ≥ r ≤ 0.960) was identified between pollutant concentration and vehicular traffic on several days and quadrants in the work period. On the other hand, in the holiday period, a weak to moderate correlation was observed on most of the days considered in this study. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

25. Abstract Models for Redesign of Technical Processes

Author

Lopez-Arevalo, Ivan, Sosa-Sosa, Victor, Tello-Leal, Edgar, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Omatu, Sigeru, editor, Rocha, Miguel P., editor, Bravo, José, editor, Fernández, Florentino, editor, Corchado, Emilio, editor, Bustillo, Andrés, editor, and Corchado, Juan M., editor

Published
2009
Full Text
View/download PDF

39. A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms

Author

Díaz-Manríquez, Alan, Toscano, Gregorio, Barron-Zambrano, Jose Hugo, and Tello-Leal, Edgar

Subjects
ComputingMethodologies_PATTERNRECOGNITION, Article Subject, MathematicsofComputing_NUMERICALANALYSIS, ComputingMethodologies_ARTIFICIALINTELLIGENCE
Abstract

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 classifying the evolutionary multiobjective optimization algorithms with respect to the type of underlying surrogate model. In this paper, we center our focus on classifying multiobjective evolutionary algorithms with respect to their integration with surrogate models. This interaction has led us to classify similar approaches and identify advantages and disadvantages of each class.

Published
2016
Full Text
View/download PDF

42. DISEÑO DE UN SISTEMA DE SOFTWARE PARA SOPORTAR EL APRENDIZAJE DE INFANTES CON SÍNDROME DE DOWN.

Author

Hernández Berrones, Gisela Mayeli, Salazar, Angel Dorantes, and Tello-Leal, Edgar

Abstract

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2017

44. Revisión de la plataforma robótica Lego Mindstorms para aplicaciones educativas y de investigación

Author

Tello Leal, Edgar, Saldivar Alonso, Vicente Paul, and Guerrero Mélendez, Tania Yukary

Subjects
SENSORES, LEGO MINDSTORMS TOYS, FACULTAD DE INGENIERÍA, LENGUAJES DE PROGRAMACIÓN, PRODUCCIÓN INTELECTUAL REGISTRADA - UNIVERSIDAD ICESI, ROBOTS
Abstract

La robótica es considerada como una de las áreas de gran interés de la ciencia y la tecnología de hoy en día. La robotización, es decir, los sistemas automatizados, se encuentran en casi todos los sectores de la sociedad. En la industria, los robots son utilizados para soldar, transportar, montar y pintar piezas. En medicina, robots sofisticados ayudan a llevar a cabo cirugías complejas. En el sector militar, los robots son usados para explorar áreas hostiles. Por tal motivo, la robótica móvil y los sistemas autónomos son tópicos de creciente interés en los programas educativos de Ingeniería y Ciencias Computacionales. Por lo anterior, en este trabajo se presenta una revisión de las principales características de los robots educativos LEGO Mindstorms, examinando los entornos de desarrollo disponibles para la compilación de programas de software que permitan definir el comportamiento del robot. Además, un análisis de casos de éxito en la utilización de los robots NXT en programas educativos universitarios, así como su uso en prototipos en trabajos de investigación.

Published
2013

46. Prototipo para desambiguación del sentido de las palabras mediante etiquetado de palabras y relaciones semánticas

Author

Tello-Leal, Edgar, Lopez-Arevalo, Ivan, and Sosa-Sosa, Victor

Subjects
Relación semántica, Desambiguación del Sentido de las Palabras, Etiquetado de palabras, Wor dNet
Abstract

Determinar la relación semántica de palabras es un aspecto que se debe tener en cuenta para la adecuada Desambiguación del Sentido de las Palabras. Este artículo describe una forma de determinar la relación semántica de palabras en archivos de texto escritos en inglés. El método tiene como base a WordNet, mediante la cual se obtienen vectores de primer y segundo orden que permiten obtener los sentidos de las sentencias que componen el texto de entrada. Con los sentidos obtenidos por cada sentencia se puede determinar la relación semántica de las palabras que la componen utilizando categorías gramaticales.

Published
2010

Catalog

Books, media, physical & digital resources
See catalog results