Algorithm Based on Deep Learning to Improve the Logistics Management of a Company That Distributes Reading Material. - Bruno Kevin-Flores Aquino; Ángel Eduardo-Córdova Baquijano; Christian D. Ovalle (CECNet, 2022)

Predictive model based on Machine Learning for the Supply Chain and its influence on the logistics management of car sales company. - Christian D. Ovalle (ICCMB, 2022)

Methodology For Information Security, in the Process of Sending Biomedical Signals in Telemedicine Applications for Rural Areas. - Wilver Auccahuasi; Lucas Herrera; Karin Rojas; Kitty Urbano; Edward Flores; Pedro Flores Peña; Yuly Montes Osorio; Christian D. Ovalle; Eddy Maguiña; Javier Flores 004; Sandra Meza; Francisco Hilario; et al. (WAC, 2022)

Method for the Registration and Analysis of Aerial Images, applied to the Architecture of Construction Sites, using Low-Cost Devices. - Aly Auccahuasi; Wilver Auccahuasi; Lucas Herrera; Teddy Esteves; Richard Aguilar Paredes; Sandra Meza; Christian D. Ovalle; Karin Rojas; Marco Felippe; Pedro Flores Peña; Yuly Montes Osorio; Francisco Hilario; et al. (WAI, 2022)

Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases. - Wilver Auccahuasi; Lucas Herrera; Karin Rojas; Kitty Urbano; Brayan Peláez; Pedro Flores Peña; Yuly Montes Osorio; Grisi Bernardo Santiago; Madelaine Bernardo; Sandra Meza; Christian D. Ovalle; Francisco Hilario; et al. (WAI, 2022)

Ishihara Test Application through Virtual Reality Technology. - Patricia Figueroa Garrido; Wilver Auccahuasi; Lucas Herrera; Sonia Mori; José Chombo; Sandra Meza; Christian D. Ovalle; Pedro Flores Peña; Yuly Montes Osorio; Marco Felippe; Moisés Tongo; Francisco Hilario; et al. (WAI, 2022)

Smart System Model for the Recruitment of Teachers. - Wilver Auccahuasi; Lucas Herrera; Karin Rojas; Sandra Meza; Christian D. Ovalle; Ivette Plasencia; Ana Barrera Loza; Jorge Figueroa Revilla; Pedro Flores Peña; Yuly Montes Osorio; Alfonso Fuentes; Kitty Urbano (WINS, 2022)

Comparison of Peruvian coffee varieties applying near infrared spectroscopy (NIRS) and machine learning. - Christian D. Ovalle; Omar Santillan Aching; Alfredo Temoche Lopez; Jorge Alfredo Bojorquez Segura (ICCPR, 2024)

Real-Time Transcriptionist Based on Artificial Intelligence to Facilitate Learning for People with Hearing Disabilities in Virtual Classes. - Christian D. Ovalle; Isaac Leonardo Vallejos García; Franco Rafael Zapata Berrios (Int. J. Online Biomed. Eng., 2024)

Predictive Model for Physical Performance in Athletics: Correlation between Anthropometric Data and Cardiorespiratory Capacity in Students from a Private School. - Jairo Samir Cornejo Vega; Genesis Andrea Ortiz Gomez; Everardo Sánchez Puche; Christian D. Ovalle (Int. J. Online Biomed. Eng., 2024)

Mobile Application for Continuous Recognition and Classification of Sign Language Images through Deep Learning. - Angel Diego Briones Cerquín; Johan Alonso Tumay Guevara; Christian D. Ovalle (Int. J. Interact. Mob. Technol., 2025)