Search

Your search keyword '"Tejada, Carlos"' showing total 2,188 results
Start Over Author "Tejada, Carlos"
2,188 results on '"Tejada, Carlos"'

1. First light simultaneous triple-channel optical observations of the OPTICAM system at the OAN-SPM

Author

Castro, Angel, Michel, Raúl, Castro Segura, Noel, Altamirano, Diego, Tejada, Carlos, Herrera, Joel, Colorado, Enrique, Sierra, Gerardo, Altamirano-Dévora, Liliana, Echevarría, Juan, Sloot, Rasjied, Wijnands, Rudy, Zavala, Iván, Rojas, David, Hernández Santisteban, Juan V., Vincentelli, Federico, Hernández-Landa, Javier A., Wang, Song, Fuentes, Melissa, Gandhi, Poshak, Silva-Cabrera, José S., Ramírez Vélez, Julio, García, Benjamín, Guisa, Gerardo, Gómez Maqueo Chew, Yilen, Montalvo, Felipe, and Valenzuela, Francisco

Published
2024
Full Text
View/download PDF

2. Convolutional Neural Network for Monkeypox Detection

Author

Alcalá-Rmz, Vanessa, Villagrana-Bañuelos, Karen E., Celaya-Padilla, José M., Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Galván-Tejada, Carlos E., 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, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor

Published
2023
Full Text
View/download PDF

3. Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD

Author

Villagrana-Bañuelos, Ricardo, Villagrana-Bañuelos, Karen E., Murillo, Manuel A. Soto, Galván-Tejada, Carlos Eric, Celaya-Padilla, José María, Galván-Tejada, Jorge Issac, 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, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor

Published
2023
Full Text
View/download PDF

4. Towards Esophagitis and Barret’s Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques

Author

Villagrana-Bañuelos, Karen E., Alcalá-Rmz, Vanessa, Celaya-Padilla, José M., Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Galván-Tejada, Carlos E., 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, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor

Published
2023
Full Text
View/download PDF

5. Past, current and future of fuel cell technologies: A bibliometric analysis of the research published during the 1968-2018 period

Author

Gamboa-Rosales, Nadia-Karina, Ayastuy-Arizti, Jose-Luis, Gamboa-Rosales, Hamurabi, Galván-Tejada, Carlos-Eric, Luna-García, Huizilopoztli, Galván-Tejada, Jorge-Issac, Celaya-Padilla, José-María, Otegi-Olaso, Jose-Ramón, and López-Robles, José-Ricardo

Subjects
BA. Use and impact of information., BB. Bibliometric methods, FJ. Knowledge management
Abstract

CONTEXT Fuel-Cell technologies have evolved from being an emerging topic to a growing research area in business, science and education fields. The Fuel-Cell technologies have a multidimensional approach. This research presents a comprehensive review of different fuel cell technologies with their working principle, evolution, relationship and suitability of applications for transportation. The professionals and researches involved in this area of knowledge are seeking to uncover the conceptual structure and define a roadmap to reduce the time of research, development, testing/validation and industrialization. OBJECTIVE The main aim of this contribution is to develop a bibliometric analysis to evaluate the performance and conceptual evolution of the Fuel-Cell technologies from 1968 to 2018. The analysis is developed using SciMAT.

Published
2019

7. Driver Identification Using Machine Learning and Motor Activity as Data Source

Author

Espino-Salinas, Carlos H., Luna-García, Huizilopoztli, Celaya-Padilla, José M., Morgan-Benita, Jorge A., Sarmiento, Wilson J., Gamboa-Rosales, Hamurabi, Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agredo-Delgado, Vanessa, editor, Ruiz, Pablo H., editor, and Correa-Madrigal, Omar, editor

Published
2022
Full Text
View/download PDF

14. Neural Hierarchical Interpolation for Standardized Precipitation Index Forecasting.

Author

Magallanes-Quintanar, Rafael, Galván-Tejada, Carlos Eric, Galván-Tejada, Jorge Isaac, Gamboa-Rosales, Hamurabi, Méndez-Gallegos, Santiago de Jesús, and García-Domínguez, Antonio

Subjects
*ARTIFICIAL neural networks, *INDEPENDENT variables, *PRECIPITATION forecasting, *TIME series analysis, *STATISTICAL correlation
Abstract

In the context of climate change, studying changes in rainfall patterns is a crucial area of research, remarkably so in arid and semi-arid regions due to the susceptibility of human activities to extreme events such as droughts. Employing predictive models to calculate drought indices can be a useful method for the effective characterization of drought conditions. This study applies two type of machine learning methods—long short-term memory (LSTM) and Neural Hierarchical Interpolation for Time Series Forecasting (N-HiTS)—to develop and deploy artificial neural network models with the aim of predicting the regional standardized precipitation index (SPI) in four regions of Zacatecas, Mexico. The predictor variables were a set of climatological time series data spanning from 1964 to 2020. The results suggest that the N-HiTS model outperforms the LSTM model in the prediction and forecasting of SPI time series for all regions in terms of performance metrics: the Mean Squared Error, Mean Absolute Error, Coefficient of Determination and ξ correlation coefficient range from 0.0455 to 0.5472, from 0.1696 to 0.6661, from 0.9162 to 0.9684 and from 0.9222 to 0.9368, respectively, for the regions under study. Consequently, the outcomes revealed the successful performance of the N-HiTS models in accurately predicting the SPI across the four examined regions. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex—An Approach with Machine Learning Algorithms.

Author

Morgan-Benita, Jorge A., Celaya-Padilla, José M., Luna-García, Huizilopoztli, Galván-Tejada, Carlos E., Cruz, Miguel, Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Sánchez-Reyna, Ana G., Rondon, David, and Villalba-Condori, Klinge O.

Subjects
ARTIFICIAL neural networks, GENDER differences (Sociology), MACHINE learning, TYPE 2 diabetes, DIASTOLIC blood pressure
Abstract

Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world and poses a significant public health challenge. Early detection and management of this metabolic disorder is crucial to prevent complications and improve outcomes. This paper aims to find core differences in male and female markers to detect T2DM by their clinic and anthropometric features, seeking out ranges in potential biomarkers identified to provide useful information as a pre-diagnostic tool whie excluding glucose-related biomarkers using machine learning (ML) models. We used a dataset containing clinical and anthropometric variables from patients diagnosed with T2DM and patients without TD2M as control. We applied feature selection with three different techniques to identify relevant biomarker models: an improved recursive feature elimination (RFE) evaluating each set from all the features to one feature with the Akaike information criterion (AIC) to find optimal outputs; Least Absolute Shrinkage and Selection Operator (LASSO) with glmnet; and Genetic Algorithms (GA) with GALGO and forward selection (FS) applied to GALGO output. We then used these for comparison with the AIC to measure the performance of each technique and collect the optimal set of global features. Then, an implementation and comparison of five different ML models was carried out to identify the most accurate and interpretable one, considering the following models: logistic regression (LR), artificial neural network (ANN), support vector machine (SVM), k-nearest neighbors (KNN), and nearest centroid (Nearcent). The models were then combined in an ensemble to provide a more robust approximation. The results showed that potential biomarkers such as systolic blood pressure (SBP) and triglycerides are together significantly associated with T2DM. This approach also identified triglycerides, cholesterol, and diastolic blood pressure as biomarkers with differences between male and female actors that have not been previously reported in the literature. The most accurate ML model was selection with RFE and random forest (RF) as the estimator improved with the AIC, which achieved an accuracy of 0.8820. In conclusion, this study demonstrates the potential of ML models in identifying potential biomarkers for early detection of T2DM, excluding glucose-related biomarkers as well as differences between male and female anthropometric and clinic profiles. These findings may help to improve early detection and management of the T2DM by accounting for differences between male and female subjects in terms of anthropometric and clinic profiles, potentially reducing healthcare costs and improving personalized patient attention. Further research is needed to validate these potential biomarkers ranges in other populations and clinical settings. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

16. Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques

Author

Guzman-Fernandez, Maximiliano, Luna-García, Huizilopoztli, Collazos, Cesar A., Sarmiento, Wilson J., Galvan-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Galvan-Tejada, Carlos E., Celaya-Padilla, Jose M., Zambrano-de la Torre, Misael, Lara-Cisneros, J. Guadalupe, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ruiz, Pablo H., editor, Agredo-Delgado, Vanessa, editor, and Kawamoto, André Luiz Satoshi, editor

Published
2021
Full Text
View/download PDF

17. Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest

Author

Zanella-Calzada, Laura A., Galván-Tejada, Carlos E., Chávez-Lamas, Nubia M., Villagrana-Bañuelos, Karen E., Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Roman-Rangel, Edgar, editor, Kuri-Morales, Ángel Fernando, editor, Martínez-Trinidad, José Francisco, editor, Carrasco-Ochoa, Jesús Ariel, editor, and Olvera-López, José Arturo, editor

Published
2021
Full Text
View/download PDF

20. Implementation of Novel Technologies and CAD Software to the Improve and Reduce of Costs in Orthotics Adaptation

Author

Nava-Vázquez, Isaac F., de Avila-Armenta, Eduardo, Espinoza-Bermúdez, Lorena, Esquivel-Cordero, Estefani, Chora-López, Viviana, Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Gamboa-Rosales, Hamurabi, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, González Díaz, César A., editor, Chapa González, Christian, editor, Laciar Leber, Eric, editor, Vélez, Hugo A., editor, Puente, Norma P., editor, Flores, Dora-Luz, editor, Andrade, Adriano O., editor, Galván, Héctor A., editor, Martínez, Fabiola, editor, García, Renato, editor, Trujillo, Citlalli J., editor, and Mejía, Aldo R., editor

Published
2020
Full Text
View/download PDF

21. Evaluation of Linked Determinants Between Diabetes and Caries

Author

Chavez-Lamas, Nubia M., Zanella-Calzada, Laura A., Galván-Tejada, Carlos Eric, Gamboa-Rosales, Hamurabi, Galván-Tejada, Jorge I., Celaya-Padilla, José M., Luna-García, Huizilopoztli, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, González Díaz, César A., editor, Chapa González, Christian, editor, Laciar Leber, Eric, editor, Vélez, Hugo A., editor, Puente, Norma P., editor, Flores, Dora-Luz, editor, Andrade, Adriano O., editor, Galván, Héctor A., editor, Martínez, Fabiola, editor, García, Renato, editor, Trujillo, Citlalli J., editor, and Mejía, Aldo R., editor

Published
2020
Full Text
View/download PDF

22. Feature Selection and Machine Learning Applied for Alzheimer’s Disease Classification

Author

for the Alzheimer’s Disease Neuroimaging Initiative, Sánchez-Reyna, Ana Gabriela, Espino-Salinas, Carlos H., Rodríguez-Aguayo, Pablo C., Salinas-Gonzalez, Jared D., Zanella-Calzada, Laura A., Martínez-Escobar, Elda Y., Celaya-Padilla, José M., Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, González Díaz, César A., editor, Chapa González, Christian, editor, Laciar Leber, Eric, editor, Vélez, Hugo A., editor, Puente, Norma P., editor, Flores, Dora-Luz, editor, Andrade, Adriano O., editor, Galván, Héctor A., editor, Martínez, Fabiola, editor, García, Renato, editor, Trujillo, Citlalli J., editor, and Mejía, Aldo R., editor

Published
2020
Full Text
View/download PDF

23. Classification of Heart Health by LPC and MFCC Coefficients and Statistical Features

Author

Soto-Murillo, Manuel A., Villagrana Bañuelos, Karen E., Rodriguez-Ruiz, Julieta G., Salinas-González, Jared D., Galván-Tejada, Carlos E., Gamboa-Rosales, Hamurabi, Galván-Tejada, Jorge I., Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, González Díaz, César A., editor, Chapa González, Christian, editor, Laciar Leber, Eric, editor, Vélez, Hugo A., editor, Puente, Norma P., editor, Flores, Dora-Luz, editor, Andrade, Adriano O., editor, Galván, Héctor A., editor, Martínez, Fabiola, editor, García, Renato, editor, Trujillo, Citlalli J., editor, and Mejía, Aldo R., editor

Published
2020
Full Text
View/download PDF

25. Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach

Author

Villagrana-Bañuelos, Karen E., Zanella-Calzada, Laura A., Gonzalez-Curiel, Irma E., Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
Full Text
View/download PDF

26. Convolutional Neural Network for Classification of Diabetic Retinopathy Grade

Author

Alcalá-Rmz, Vanessa, Maeda-Gutiérrez, Valeria, Zanella-Calzada, Laura A., Valladares-Salgado, Adan, Celaya-Padilla, José M., Galván-Tejada, Carlos E., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martínez-Villaseñor, Lourdes, editor, Herrera-Alcántara, Oscar, editor, Ponce, Hiram, editor, and Castro-Espinoza, Félix A., editor

Published
2020
Full Text
View/download PDF

27. COATLI: an all-sky robotic optical imager with 0.3 arcsec image quality

Author

Watson, Alan M., Cardona, Salvador Cuevas, Núñez, Luis C. Álvarez, Ángeles, Fernando, Becerra-Godínez, Rosa L., Chapa, Oscar, Farah, Alejandro S., Fuentes-Fernández, Jorge, Figueroa, Liliana, Lebre, Rosalía Langarica, Quirós, Fernando, Román-Zúñiga, Carlos G., Ruíz-Diáz-Soto, Jaime, Tejada, Carlos G., and Tinoco, Silvio J.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

COATLI will provide 0.3 arcsec FWHM images from 550 to 900 nm over a large fraction of the sky. It consists of a robotic 50-cm telescope with a diffraction-limited fast-guiding imager. Since the telescope is small, fast guiding will provide diffraction-limited image quality over a field of at least 1 arcmin and with coverage of a large fraction of the sky, even in relatively poor seeing. The COATLI telescope will be installed at the at the Observatorio Astron\'omico Nacional in Sierra San Pedro M\'artir, M\'exico, during 2016 and the diffraction-limited imager will follow in 2017., Comment: To appear in the proceedings of SPIE conference 9908 "Ground-based and Airborne Instrumentation for Astronomy VI". 9 pages

Published
2016
Full Text
View/download PDF

28. LaCir:A Multilayered Laser-cuttable Material to Co-fabricate Circuitry and Structural Components

Author

Buch, Niels Christian, Tejada, Carlos E., Ashbrook, Daniel, Savage, Valkyrie, Buch, Niels Christian, Tejada, Carlos E., Ashbrook, Daniel, and Savage, Valkyrie

Abstract

Rapid prototyping is an important tool for designers, but many fabrication techniques are slow and create bulky components requiring multiple machines and processes to achieve desired device shape and electronic functionality. Prior work explored ways to ease fabricating shapes or designing electronics, but we focus on creating shape and electrical pathways at the same time from a single material and machine. LaCir leverages a three-layered, laser-cuttable material to incorporate circuits into the structural substrate of the design using laser cutters. Our substrate features a layer of conductive material sandwiched between thermoplastic sheets, allowing designers to cut electrical traces and assembleable, 3D object geometry in a single pass. We evaluate different composite materials, weighing their cuttability, ease of assembly, and conductivity; we also show using fully laser-cut joints as structural and electrical connections. We demonstrate LaCir's flexibility through several example artifacts.

Published
2024

29. Auto-Machine-Learning Models for Standardized Precipitation Index Prediction in North–Central Mexico.

Author

Magallanes-Quintanar, Rafael, Galván-Tejada, Carlos E., Galván-Tejada, Jorge Isaac, Gamboa-Rosales, Hamurabi, Méndez-Gallegos, Santiago de Jesús, and García-Domínguez, Antonio

Subjects
ARTIFICIAL neural networks, RAINFALL, WATER shortages, PREDICTION models, AGRICULTURE
Abstract

Certain impacts of climate change could potentially be linked to alterations in rainfall patterns, including shifts in rainfall intensity or drought occurrences. Hence, predicting droughts can provide valuable assistance in mitigating the detrimental consequences associated with water scarcity, particularly in agricultural areas or densely populated urban regions. Employing predictive models to calculate drought indices can be a useful method for the effective characterization of drought conditions. This study applied an Auto-Machine-Learning approach to deploy Artificial Neural Network models, aiming to predict the Standardized Precipitation Index in four regions of Zacatecas, Mexico. Climatological time-series data spanning from 1979 to 2020 were utilized as predictive variables. The best models were found using performance metrics that yielded a Mean Squared Error, Mean Absolute Error, and Coefficient of Determination ranging from 0.0296 to 0.0388, 0.1214 to 0.1355, and 0.9342 to 0.9584, respectively, for the regions under study. As a result, the Auto-Machine-Learning approach successfully developed and tested Artificial Neural Network models that exhibited notable predictive capabilities when estimating the monthly Standardized Precipitation Index within the study region. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

30. Alcohol Detection in a Car’s Cab Using MQ3 and First Approaches to Sensing: Laboratory Tests

Author

Romero-González, Jonathan Samuel, Luna-García, Huizilopoztli, Celaya-Padilla, José M., Gamboa-Rosales, Hamurabi, Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Arceo-Olague, José G., Solís-Robles, Roberto, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ruiz, Pablo H., editor, and Agredo-Delgado, Vanessa, editor

Published
2019
Full Text
View/download PDF

31. Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study

Author

Guerrero-Flores, M. Hazael, Luna-García, Huizilopoztli, Galván-Tejada, Carlos E., Gamboa-Rosales, Hamurabi, Celaya-Padilla, José M., Galván-Tejada, Jorge I., Mendoza-González, Alfredo, Alcala-Rmz, Vanessa, Valladares-Salgado, Adan, Cruz, Miguel, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ruiz, Pablo H., editor, and Agredo-Delgado, Vanessa, editor

Published
2019
Full Text
View/download PDF

32. Children Detection on Passenger Seat Using UCD and IDP: An Initial Prototype

Author

Almaraz, William Castañeda, Luna-García, Huizilopoztli, Celaya-Padilla, José M., Gamboa-Rosales, Hamurabi, Mendoza-González, Ricardo, Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Lozano-Aguilar, Joyce S. A., Solís-Robles, Roberto, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ruiz, Pablo H., editor, and Agredo-Delgado, Vanessa, editor

Published
2019
Full Text
View/download PDF

33. Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection

Author

García-Domínguez, Antonio, Zanella-Calzada, Laura A., Galván-Tejada, Carlos E., Galván-Tejada, Jorge I., Celaya-Padilla, José M., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Carrasco-Ochoa, Jesús Ariel, editor, Martínez-Trinidad, José Francisco, editor, Olvera-López, José Arturo, editor, and Salas, Joaquín, editor

Published
2019
Full Text
View/download PDF

34. Classification and selection of the main features for the identification of toxicity in Agaricus and Lepiota with machine learning algorithms

Author

Ortiz-Letechipia, Jacqueline S., primary, Galvan-Tejada, Carlos E., additional, Galván-Tejada, Jorge I., additional, Soto-Murillo, Manuel A., additional, Acosta-Cruz, Erika, additional, Gamboa-Rosales, Hamurabi, additional, Celaya Padilla, José María, additional, and Luna-García, Huizilopoztli, additional

Published
2024
Full Text
View/download PDF

37. Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD

Author

Zanella-Calzada, Laura A., Galván-Tejada, Carlos E., Galván-Tejada, Jorge I., Celaya-Padilla, José M., 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, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Castro, Félix, editor, Miranda-Jiménez, Sabino, editor, and González-Mendoza, Miguel, editor

Published
2018
Full Text
View/download PDF

39. Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks

Author

Reveles-Gómez, Luis C., primary, Luna-García, Huizilopoztli, additional, Celaya-Padilla, José M., additional, Barría-Huidobro, Cristian, additional, Gamboa-Rosales, Hamurabi, additional, Solís-Robles, Roberto, additional, Arceo-Olague, José G., additional, Galván-Tejada, Jorge I., additional, Galván-Tejada, Carlos E., additional, Rondon, David, additional, and Villalba-Condori, Klinge O., additional

Published
2023
Full Text
View/download PDF

43. Redesigning the User Interface of a Learning Platform for Social Engineering Integrating Web Accessibility Basics

Author

Arceo-Olague, José Guadalupe, primary, Ortiz-Reyes, Jorge, additional, Solís-Robles, Roberto, additional, Luna-García, Huizilopoztli, additional, Ordaz-García, Oscar Osvaldo, additional, Gamboa-Rosales, Hamurabi, additional, Galván-Tejada, Carlos Eric, additional, Galván-Tejada, Jorge Issac, additional, Celaya-Padilla, José María, additional, and Ortiz-López, Manuel Agustín, additional

Published
2020
Full Text
View/download PDF

45. Contralateral asymmetry for breast cancer detection: A CADx approach

Author

Celaya-Padilla, Jose M., Guzmán-Valdivia, Cesar H., Galván-Tejada, Carlos E., Galván-Tejada, Jorge I., Gamboa-Rosales, Hamurabi, Garza-Veloz, Idalia, Martinez-Fierro, Margarita L., Cid-Báez, Miguel A., Martinez-Torteya, Antonio, Martinez-Ruiz, Francisco J., Luna-García, Huizilopoztli, Moreno-Baez, Arturo, and Nandal, Amita

Published
2018
Full Text
View/download PDF

49. Detection of Helmet Use in Motorcycle Drivers Using Convolutional Neural Network

Author

Mercado Reyna, Jaime, primary, Luna-Garcia, Huizilopoztli, additional, Espino-Salinas, Carlos H., additional, Celaya-Padilla, José M., additional, Gamboa-Rosales, Hamurabi, additional, Galván-Tejada, Jorge I., additional, Galván-Tejada, Carlos E., additional, Solís Robles, Roberto, additional, Rondon, David, additional, and Villalba-Condori, Klinge Orlando, additional

Published
2023
Full Text
View/download PDF

50. Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI

Author

Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Celaya-Padilla, José M., Delgado-Contreras, Juan R., Cervantes, Daniel, Ortiz, Manuel, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez-Trinidad, José Francisco, editor, Carrasco-Ochoa, Jesús Ariel, editor, Ayala Ramirez, Victor, editor, Olvera-López, José Arturo, editor, and Jiang, Xiaoyi, editor

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results