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Cofinanțat de Uniunea Europeană

Guvernul României

Romanian Hub for Artificial Intelligence (HRIA)
Romanian Hub for Artificial Intelligence (HRIA)
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  • About HRIA
    • What is HRIA
    • Indicators
    • Impact
  • Objectives
    • General Objective
    • Specific Objectives
  • Consortium
    • Partners
    • Researcher Profile
    • Advisory Committee
  • RDI
    • Research Directions / Laboratories
    • Activities
  • Results
    • Scientific Papers
    • Scientific Reports
    • Demonstrators
    • Technologies
    • Prototypes
    • Videos & Interviews
  • News
    • Events
    • News
    • Gallery
  • Cooperation
    • Collaboration Agreements
    • Participation in HRIA
  • Contact
  • en
    • ro

Portfolio Archives: UPT

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Efficient voltage-based intrusion detection for in-vehicle networks: From density clustering to centroid classification

Journals, Scientific Papers, UPT, UPTBy hriaadnMarch 31, 2026

Efficient voltage-based intrusion detection for in-vehicle networks: From density clustering to centroid classification. Patricia Iosif, Lucian Popa, Bogdan Groza. In: Computer Networks, Vol. 281, February 2026, DOI: 10.1016/j.comnet.2026.112176.

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Individual Software Expertise Formalization and Assessment from Project Management Tool Databases

Journals, Scientific Papers, UPT, UPTBy hriaadnFebruary 3, 2026

Individual Software Expertise Formalization and Assessment from Project Management Tool Databases. Traian-Radu Ploscă, Alexandru-Mihai Pescaru, Bianca-Valeria Rus, Daniel-Ioan Curiac. In: Computers, Materials & Continua Journal, Vol. 86, Iss. 1, November 2025, DOI: 10.32604/cmc.2025.069707.

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Images Versus Videos in Contrast-Enhanced Ultrasound for Computer-Aided Diagnosis

Journals, Scientific Papers, UPT, UPTBy hriaadnFebruary 3, 2026

Images Versus Videos in Contrast-Enhanced Ultrasound for Computer-Aided Diagnosis. Marina Adriana Mercioni, Cătălin-Daniel Căleanu, Mihai-Eronim-Octavian Ursan. In: Sensors 2025 Journal, Vol. 25, Iss. 19, October 2025, DOI: 10.3390/s25196247.

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Refining Filter Global Feature Weighting for Fully Unsupervised Clustering

Journals, Scientific Papers, UPT, UPTBy hriaadnNovember 2, 2025

Refining Filter Global Feature Weighting for Fully Unsupervised Clustering. Fabian Galis, Darian M. Onchis, Codruta Istin. In: Applied Sciences, MDPI, Vol. 15, Iss. 16, August 2025, DOI: 10.3390/app15169072.

Smart Growth, Digitalization and Financial Instruments Programme 2021–2027 (PoCIDIF),
Priority Axis 4 – Development of Strategic Technologies for Europe – STEP,
Call PCIDIF/709/PCIDIF_P4/OP1/RSO1.6/PCIDIF_A12 – Action 4.1 – Support for the Development of Strategic Technologies for Europe – STEP, SMIS Code 2021–351416.

Implementation period: 1 March 2025 – 31 December 2029
Total project value: 336,336,127.46 lei
Total eligible value: 335,117,109.06 lei
Non-refundable financial assistance: 324,775,349.99 lei.
Project co-financed by the European Regional Development Fund through the Smart Growth, Digitalization and Financial Instruments Program 2021-2027.

Contact

  • Address:
    National University of Science and Technology POLITEHNICA Bucharest Splaiul Independentei No. 313, District 6, Bucharest, 60042, Romania
  • Email
    roaihub@upb.ro

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