Camila Martins Saporetti
Biographic Data
| ID | 6885866 |
|---|---|
| NAME | Camila Martins Saporetti |
| GIVEN NAMES | Camila Martins |
| FAMILY NAME | Saporetti |
| SIGNATURE | SAPORETTI C M |
| AFFILIATIONS | Universidade do Estado do Rio de Janeiro |
| ORCID | 0000-0002-8145-7074 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Development of a framework using deep learning for the identification and classification of engagement levels in distance learning students
With the advent of modern educational technologies, detecting student engagement has emerged as a crucial tool for enhancing educational effectiveness and classroom management. To improve the accuracy and efficiency of existing engagement detection systems, this study presents an enhanced model utilizing the YOLOv8 architecture. The proposed framework incorporates the cascading of two YOLOv8 models to refine the search for faces in images, employ…
A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution
Over the past few years, there has been a need to discuss the strengthening of academic contributions to the 2030 Agenda as a vital facilitator for planning and evaluating sustainable goals. However, managing information in this field has become an internal institutional challenge for higher education organizations. Identifying the aspects of sustainable development goals within research projects is crucial for developing strategies and policies …
No prominent works on this page.
Development of a framework using deep learning for the identification and classification of engagement levels in distance learning students
With the advent of modern educational technologies, detecting student engagement has emerged as a crucial tool for enhancing educational effectiveness and classroom management. To improve the accuracy and efficiency of existing engagement detection systems, this study presents an enhanced model utilizing the YOLOv8 architecture. The proposed framework incorporates the cascading of two YOLOv8 models to refine the search for faces in images, employ…
A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution
Over the past few years, there has been a need to discuss the strengthening of academic contributions to the 2030 Agenda as a vital facilitator for planning and evaluating sustainable goals. However, managing information in this field has become an internal institutional challenge for higher education organizations. Identifying the aspects of sustainable development goals within research projects is crucial for developing strategies and policies …
Advanced Technologies in Various Fields (1 work) · Artificial Intelligence (1 work) · Biology (1 work) · Business (1 work) · Computer Science (1 work) · Deep learning (1 work) · Institution (1 work) · Intelligent Tutoring Systems and Adaptive Learning (1 work) · Machine learning (1 work) · Mathematics education (1 work)