Jesús‐Ángel Román‐Gallego
Biographic Data
| ID | 10241031 |
|---|---|
| NAME | Jesús‐Ángel Román‐Gallego |
| GIVEN NAMES | Jesús‐Ángel |
| FAMILY NAME | Román‐Gallego |
| SIGNATURE | GALLEGO J Á R |
| AFFILIATIONS | Universidad de Salamanca |
| ORCID | 0000-0002-2058-6219 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Expanding the lens
This study investigates how university students engage with generative artificial intelligence (GenAI), specifically ChatGPT, when completing knowledge-based academic tasks across six courses and two institutions. By comparing performance and perceptions in engineering and non-engineering subjects, the study examines whether students can use GenAI effectively without prior training and to what extent such tools meaningfully support learning. The …
Machine vision-based recognition of safety signs in work environments
The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention—a concern of paramount importance due to the imperative of preventing workplace accidents as falls, collisions,…
No prominent works on this page.
Machine vision-based recognition of safety signs in work environments
The field of image recognition is extensively researched, with applications addressing numerous challenges posed by the scientific community. Notably among these challenges are those related to individual safety. This article presents a system designed for the application of image recognition in the realm of Occupational Risk Prevention—a concern of paramount importance due to the imperative of preventing workplace accidents as falls, collisions,…
Expanding the lens
This study investigates how university students engage with generative artificial intelligence (GenAI), specifically ChatGPT, when completing knowledge-based academic tasks across six courses and two institutions. By comparing performance and perceptions in engineering and non-engineering subjects, the study examines whether students can use GenAI effectively without prior training and to what extent such tools meaningfully support learning. The …
AI in Service Interactions (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Computer Science (1 works) · Computer vision (1 works) · Discipline (1 works) · Engineering (1 works) · Ethics and Social Impacts of AI (1 works) · Fire Detection and Safety Systems (1 works) · Generative grammar (1 works)