Christian D. Ovalle

Orcid: 0000-0002-5559-5684

According to our database1, Christian D. Ovalle authored at least 11 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

Legend:

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On csauthors.net:

Bibliography

2025
Mobile Application for Continuous Recognition and Classification of Sign Language Images through Deep Learning.
Int. J. Interact. Mob. Technol., 2025

2024
Predictive Model for Physical Performance in Athletics: Correlation between Anthropometric Data and Cardiorespiratory Capacity in Students from a Private School.
Int. J. Online Biomed. Eng., 2024

Real-Time Transcriptionist Based on Artificial Intelligence to Facilitate Learning for People with Hearing Disabilities in Virtual Classes.
Int. J. Online Biomed. Eng., 2024

Comparison of Peruvian coffee varieties applying near infrared spectroscopy (NIRS) and machine learning.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

2022
Smart System Model for the Recruitment of Teachers.
Proceedings of the Workshop on Intelligent Systems (WINS 2022) Co-located with TOOTILL 100, 2022

Ishihara Test Application through Virtual Reality Technology.
Proceedings of the Workshop on Artificial Intelligence (WAI 2022) Co-located with Computing Congress (CC 2022), Chennai, India,January 28, 2022

Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases.
Proceedings of the Workshop on Artificial Intelligence (WAI 2022) Co-located with Computing Congress (CC 2022), Chennai, India,January 28, 2022

Method for the Registration and Analysis of Aerial Images, applied to the Architecture of Construction Sites, using Low-Cost Devices.
Proceedings of the Workshop on Artificial Intelligence (WAI 2022) Co-located with Computing Congress (CC 2022), Chennai, India,January 28, 2022

Methodology For Information Security, in the Process of Sending Biomedical Signals in Telemedicine Applications for Rural Areas.
Proceedings of the Workshop on Applied Computing (WAC 2022) Co-located with Computing Congress (CC 2022), Chennai, India, January 27, 2022

Predictive model based on Machine Learning for the Supply Chain and its influence on the logistics management of car sales company.
Proceedings of the ICCMB 2022: 5th International Conference on Computers in Management and Business, Singapore, January 21, 2022

Algorithm Based on Deep Learning to Improve the Logistics Management of a Company That Distributes Reading Material.
Proceedings of CECNet 2022, 2022


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