William Eduardo Villegas-Ch.

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 23

Top Topics

Interactive Visualization

Industrial Processes

Anomaly Detection

Top Venues

Big Data Cogn. Comput.

Publications

Jaime Govea, Walter Gaibor-Naranjo, William Eduardo Villegas-Ch.
Securing Critical Infrastructure with Blockchain Technology: An Approach to Cyber-Resilience. Comput. 13 (5) (2024)
Iván Ortiz-Garcés, Jaime Govea, Santiago Sánchez-Viteri, William Eduardo Villegas-Ch.
CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence. PeerJ Comput. Sci. 10 (2024)
William Eduardo Villegas-Ch., Santiago Sánchez-Viteri, Sergio Luján-Mora
Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study. IEEE Access 12 (2024)
Jaime Govea, Walter Gaibor-Naranjo, William Eduardo Villegas-Ch.
Transforming Cybersecurity into Critical Energy Infrastructure: A Study on the Effectiveness of Artificial Intelligence. Syst. 12 (5) (2024)
Jaime Govea, Walter Gaibor-Naranjo, Santiago Sánchez-Viteri, William Eduardo Villegas-Ch.
Integration of Data and Predictive Models for the Evaluation of Air Quality and Noise in Urban Environments. Sensors 24 (2) (2024)
Rommel Gutierrez, William Eduardo Villegas-Ch., Lorena Naranjo Godoy, Aracely Mera-Navarrete, Sergio Luján-Mora
Application of Deep Learning Models for Real-Time Automatic Malware Detection. IEEE Access 12 (2024)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Santiago Sánchez-Viteri
Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses. IEEE Access 12 (2024)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Santiago Sánchez-Viteri
Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction. IEEE Access 12 (2024)
William Eduardo Villegas-Ch., Angel Jaramillo-Alcázar, Sergio Luján-Mora
Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW. Big Data Cogn. Comput. 8 (1) (2024)
William Eduardo Villegas-Ch., Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete
Improving Interaction and Assessment in Hybrid Educational Environments: An Integrated Approach in Microsoft Teams With the Use of AI Techniques. IEEE Access 12 (2024)
William Eduardo Villegas-Ch., Joselin García-Ortiz
Authentication, access, and monitoring system for critical areas with the use of artificial intelligence integrated into perimeter security in a data center. Frontiers Big Data 6 (2024)
William Eduardo Villegas-Ch., Walter Gaibor-Naranjo, Santiago Sánchez-Viteri
Application of Deep Learning Techniques for the Optimization of Industrial Processes Through the Fusion of Sensory Data. Int. J. Comput. Intell. Syst. 17 (1) (2024)
Jaime Govea, Ernesto Ocampo Edye, Solange Revelo-Tapia, William Eduardo Villegas-Ch.
Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing. Comput. 12 (11) (2023)
William Eduardo Villegas-Ch., Joselin García-Ortiz
Enhancing Learning Personalization in Educational Environments through Ontology-Based Knowledge Representation. Comput. 12 (10) (2023)
William Eduardo Villegas-Ch., Jaime Govea, Angel Jaramillo-Alcázar
Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection. Sensors 23 (21) (2023)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Jaime Govea
A Comprehensive Approach to Image Protection in Digital Environments. Comput. 12 (8) (2023)
Iván Ortiz-Garcés, Roberto O. Andrade, Santiago Sánchez-Viteri, William Eduardo Villegas-Ch.
Prototype of an Emergency Response System Using IoT in a Fog Computing Environment. Comput. 12 (4) (2023)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Isabel Urbina-Camacho, Aracely Mera-Navarrete
Proposal for a System for the Identification of the Concentration of Students Who Attend Online Educational Models. Comput. 12 (4) (2023)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Angel Jaramillo-Alcázar
An Approach Based on Recurrent Neural Networks and Interactive Visualization to Improve Explainability in AI Systems. Big Data Cogn. Comput. 7 (3) (2023)
William Eduardo Villegas-Ch., Isabel Urbina-Camacho, Joselin García-Ortiz
Detection of Abnormal Patterns in Children's Handwriting by Using an Artificial-Intelligence-Based Method. Informatics 10 (2) (2023)
Angel Jaramillo-Alcázar, Jaime Govea, William Eduardo Villegas-Ch.
Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning. Sensors 23 (19) (2023)
William Eduardo Villegas-Ch., Rodrigo Amores-Falconi, Eduardo Coronel-Silva
Design Proposal for a Virtual Shopping Assistant for People with Vision Problems Applying Artificial Intelligence Techniques. Big Data Cogn. Comput. 7 (2) (2023)
William Eduardo Villegas-Ch., Joselin García-Ortiz, Santiago Sánchez-Viteri
Identification of Emotions From Facial Gestures in a Teaching Environment With the Use of Machine Learning Techniques. IEEE Access 11 (2023)