Roberto Tolozano-Benites
Biographic Data
| ID | 7896027 |
|---|---|
| NAME | Roberto Tolozano-Benites |
| GIVEN NAMES | Roberto |
| FAMILY NAME | Tolozano-Benites |
| SIGNATURE | TOLOZANO-BENITES R |
| AFFILIATIONS | Universidad Andina Simón Bolívar |
| ORCID | 0000-0002-4164-5839 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Adoption of artificial intelligence applications in higher education
This study examined the user experience that influences the adoption of artificial intelligence (AI) applications in higher education, focusing on three dimensions: habit, perceived complexity, and perception of adoption. A quantitative, non-experimental, cross-sectional design was applied, using a Likert scale questionnaire administered to 621 university students in Spain, Mexico, and Serbia, selected through convenience sampling. The results re…
Scientific Production on GPS Trajectory Clustering
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms and even unique methods considered as “novel” for science have emerged. This work aimed to analyze the scientific production that exists around the topic “GPS trajectories clustering” by means of biblio…
Burnout Syndrome Among Dental Students in Clinical Training
Burnout syndrome, caused by chronic unmanaged stress, is common among health sciences students, and dental students in clinical training are particularly vulnerable due to the intense cognitive, emotional, and practical demands. This multicenter cross-sectional study assessed burnout and related factors in 312 students in their 8th-10th semesters at three Ecuadorian universities using the Maslach Burnout Inventory and a questionnaire on physical …
Method for the Identification and Classification of Zones with Vehicular Congestion
Persistently, urban regions grapple with the ongoing challenge of vehicular traffic, a predicament fueled by the incessant expansion of the population and the rise in the number of vehicles on the roads. The recurring challenge of vehicular congestion casts a negative influence on urban mobility, thereby diminishing the overall quality of life of residents. It is hypothesized that a dynamic clustering method of vehicle trajectory data can provide…
Batch Simplification Algorithm for Trajectories over Road Networks
The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage. It is posited that the combination of TD-TR simplification, Kalman noise reduction, and analysis of road network information will improve the compression ratio and margin of error. The GR algori…
No prominent works on this page.
Batch Simplification Algorithm for Trajectories over Road Networks
The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage. It is posited that the combination of TD-TR simplification, Kalman noise reduction, and analysis of road network information will improve the compression ratio and margin of error. The GR algori…
Method for the Identification and Classification of Zones with Vehicular Congestion
Persistently, urban regions grapple with the ongoing challenge of vehicular traffic, a predicament fueled by the incessant expansion of the population and the rise in the number of vehicles on the roads. The recurring challenge of vehicular congestion casts a negative influence on urban mobility, thereby diminishing the overall quality of life of residents. It is hypothesized that a dynamic clustering method of vehicle trajectory data can provide…
Adoption of artificial intelligence applications in higher education
This study examined the user experience that influences the adoption of artificial intelligence (AI) applications in higher education, focusing on three dimensions: habit, perceived complexity, and perception of adoption. A quantitative, non-experimental, cross-sectional design was applied, using a Likert scale questionnaire administered to 621 university students in Spain, Mexico, and Serbia, selected through convenience sampling. The results re…
Scientific Production on GPS Trajectory Clustering
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms and even unique methods considered as “novel” for science have emerged. This work aimed to analyze the scientific production that exists around the topic “GPS trajectories clustering” by means of biblio…
Burnout Syndrome Among Dental Students in Clinical Training
Burnout syndrome, caused by chronic unmanaged stress, is common among health sciences students, and dental students in clinical training are particularly vulnerable due to the intense cognitive, emotional, and practical demands. This multicenter cross-sectional study assessed burnout and related factors in 312 students in their 8th-10th semesters at three Ecuadorian universities using the Maslach Burnout Inventory and a questionnaire on physical …
Computer Science (3 works) · Data Management and Algorithms (3 works) · Artificial Intelligence (2 works) · Global Positioning System (2 works) · Traffic Prediction and Management Techniques (2 works) · Trajectory (2 works) · AI in Service Interactions (1 works) · Algorithm (1 works) · Automated Road and Building Extraction (1 works) · Biology (1 works)