
Digital platform by CEDIS/UnB for planning, screening, extraction, and reporting of systematic literature reviews with traceability, collaboration, and reproducible outputs.
CEDIS
1 min read

Digital platform by CEDIS/UnB for planning, screening, extraction, and reporting of systematic literature reviews with traceability, collaboration, and reproducible outputs.
CEDIS
1 min read

Artificial Intelligence (AI) is a branch of computer science that seeks to develop systems capable of mimicking and enhancing human abilities such as reasoning, learning, and …
CEDIS
45 min read

Ongoing CEDIS project focused on the continuous research, evolution, and validation of methods, workflows, and capabilities for systematic reviews, with Evidentia Review as its …
CEDIS
1 min read

An AI API for academic performance prediction in gamified environments, complementing the EduTrack platform, with academic support from CEDIS.
CEDIS
1 min read

A research project in partnership with IBICT and funded by FAP-DF.
CEDIS
1 min read

2025 technological product proposing a chatbot as a support tool for Requirements Engineering, with computer program registration granted by INPI in 2026.
CEDIS
1 min read

Telegram chatbot based on AI (RAG) that centralizes and answers administrative and academic questions from FCTE/UnB students. Computer program registration granted by INPI in 2026.
CEDIS
2 min read

Machine learning application for the non-invasive prediction of euploidy in human embryos based on morphokinetic data. Computer program registration granted by INPI in 2026.
CEDIS
2 min read

Undergraduate in Software Engineering, University of Brasília
CEDIS
1 min read

Ian Lucca Soares Mesquita and Christian Hirsch Santos presented at FCTE/UnB the TCC1 that plans a controlled laboratory experiment with Software Engineering students and alumni to …
CEDIS
2 min read

Israel Thalles Dutra dos Santos presented at FCTE/UnB the TCC1 that designs a gamified web platform — framed as an archaeological exploration — to teach the foundations of large …
CEDIS
1 min read

Henrique Azevedo Batalha and Marina Márcia Costa de Souza presented at FCTE/UnB the TCC1 that integrates the Suricata IDS with a Random Forest classifier — trained on the …
CEDIS
2 min read