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|  | Front matter (pp. 0–2) |  |  | Table of Contents (pp. 3–4) |  | 1. | Abel Robles Montoya, Alec Guerrero Gallardo,  Jaqueline P., David Alejandro T., Victor G., Volodymyr Ponomaryov Convolutional Neural Networks Comparison in Covid Incidence Detection (pp. 5–20; abstract) |  | 2. | Vladimir Avalos-Bravo, Chadwick Carreto Arellano,  Macario Hernández Cruz, Blanca Barragán-Tognola, Mónica Fernanda Barragán-Tognola Oil Fractions Impact on Mexican Soils Evaluation Web Application (pp. 21–31; abstract) |  | 3. | Luis David Huerta-Hernández, Ricardo Melchor,  Julio Cesar Ramírez-Pacheco, Homero Toral-Cruz, Khalid S. Aloufi, José Antonio León-Borges Automatic Recognition of Indigenous Languages from Different Mexican Geographic Regions  Using Long-Term Average Spectrum (pp. 33–44; abstract) |  | 4. | Teun van der Weij, Venustiano Soancatl-Aguilar, Saúl Solorio-Fernández Runtime Prediction of Filter Unsupervised Feature Selection Methods (pp. 45–73; abstract) |  | 5. | Sreelakshmi A.R., Sumith Satheendran S., Latha P. Geoinformatics Based Mapping and Assessment of Flood Risk in Periyar River Basin,  South India: A Pairwise Weighted Approach (pp. 75–88; abstract) |  | 6. | Hector Rodriguez-Rangel, Rafael Imperial Rojo,  Luis Alberto Morales Rosales, Sofia Isabel Fernandez Gregorio, Abraham Efraim Rodríguez Mata, Peter Lepej Data Collection and Data Processing System for Traffic Studies (pp. 89–99; abstract) |  | 7. | Kiomars Naimi, Mina Soleymani Development of an Optimal Model of Space Use through AHP Model and Boolean Logic  in GIS Context Case Study: Kurdistan of Iran – Sanandaj (pp. 101–111; abstract) |  | 8. | Gabriela Rabelo Andrade, Fernanda Coelho Pizani,  Daniel Henrique Carneiro Salim, Patrícia Corrêa Fonseca, Camila Costa de Amorim DIP-Toolbox: A Matlab Toolbox for Automated Image Band Registration and RGB Composition  from Multispectral Images Obtained Using UAVs (pp. 113–124; abstract) |  | 9. | V. A. González-Huitrón, A.E. Rodríguez-Mata, L. Miranda, D.M. Arias,  Lisbel Bárzaga-Martell, H. Rodríguez-Rangel Microalgae Cell Counting and Identification Via Artificial Intelligence Techniques:  An Interdisciplinary Approach (pp. 125–138; abstract) |  |  | Back matter (p. 139) |  |