Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Yusuf Sermet

Biographic Data

ID6717304
NAMEYusuf Sermet
GIVEN NAMESYusuf
FAMILY NAMESermet
SIGNATURESERMET Y
AFFILIATIONSUniversity of Iowa
ORCID0000-0003-1516-8335
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Enhancing educational semantic retrieval through dual objective fine tuning of open source embedding models

    Open Access•Ramteja Sajja, Yusuf Sermet et al.•ARTICLE•Discover Education•2026

    Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study presents two open-source embedding models fine-tuned for educational question answering, particularly in the context of course syllabi. A synthetic dataset of 3,197 sentence pairs, spanning synonymous terminology, paraphrase…

  • Floodcraft

    Open Access•Eslim Emiroglu, Cori Ann Grant et al.•ARTICLE•International Journal of Disaster…•2025

  • A conversational intelligent assistant for enhanced operational support in floodplain management with multimodal data

    Open Access•Vinay Pursnani, Yusuf Sermet et al.•ARTICLE•International Journal of Disaster…•2025

  • A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI

    Open Access•Samrat Shrestha, Jerry Mount et al.•ARTICLE•Environmental Science & Policy•2025•References: 1

  • Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

    Open Access•Ramteja Sajja, Yusuf Sermet et al.•ARTICLE•Information•2024

    This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and …

  • A collaborative serious game for water resources planning and hazard mitigation

    Open Access•A Teague, Yusuf Sermet et al.•ARTICLE•International Journal of Disaster…•2021

No prominent works on this page.

  • A collaborative serious game for water resources planning and hazard mitigation

    Open Access•A Teague, Yusuf Sermet et al.•ARTICLE•International Journal of Disaster…•2021

  • Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

    Open Access•Ramteja Sajja, Yusuf Sermet et al.•ARTICLE•Information•2024

    This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and …

  • Floodcraft

    Open Access•Eslim Emiroglu, Cori Ann Grant et al.•ARTICLE•International Journal of Disaster…•2025

  • A conversational intelligent assistant for enhanced operational support in floodplain management with multimodal data

    Open Access•Vinay Pursnani, Yusuf Sermet et al.•ARTICLE•International Journal of Disaster…•2025

  • A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI

    Open Access•Samrat Shrestha, Jerry Mount et al.•ARTICLE•Environmental Science & Policy•2025•References: 1

  • Enhancing educational semantic retrieval through dual objective fine tuning of open source embedding models

    Open Access•Ramteja Sajja, Yusuf Sermet et al.•ARTICLE•Discover Education•2026

    Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study presents two open-source embedding models fine-tuned for educational question answering, particularly in the context of course syllabi. A synthetic dataset of 3,197 sentence pairs, spanning synonymous terminology, paraphrase…

Computer Science (5 works) · Environmental Science (3 works) · Geography (3 works) · Educational Games and Gamification (2 works) · Engineering (2 works) · Flood Risk Assessment and Management (2 works) · Multimedia (2 works) · Psychology (2 works) · Adaptive Learning (1 work) · Air Quality Monitoring and Forecasting (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae