UTM: Recent submissions

  • CHICU, Constantin (Universitatea Tehnică a Moldovei, 2026)
    Prezenta teză de master abordează problematica securității comunicațiilor în rețelele de calculatoare în contextul dezvoltării accelerate a tehnologiilor cuantice, care amenință algoritmii criptografici clasici. Lucrarea ...
  • BURLAC, Ana (Universitatea Tehnică a Moldovei, 2026)
    Problematica studiului: Poșta electronică rămâne unul dintre cele mai utilizate canale de comunicare în organizații, inclusiv în companii cu buget redus, însă este expusă riscurilor de interceptare, falsificare a expeditorului ...
  • BOTNAREVSCHI, Nicolae (Universitatea Tehnică a Moldovei, 2026)
    Scopul lucrăii: Proiectarea și realizarea unui prototip de sistem hibrid pentru protejarea drepturilor de autor, bazat pe tehnologii blockchain și tokenizare NFT. Obiective propuse spre realizare: 1. Analiza tehnologiilor ...
  • AXENTI, Ilie (Universitatea Tehnică a Moldovei, 2026)
    Prezenta teză de master abordează problematica securității fizice a rețelelor de fibră optică, în contextul creșterii dependenței societății contemporane de infrastructurile digitale de comunicații. Deși fibra optică oferă ...
  • ANIȚA, Nicu (Universitatea Tehnică a Moldovei, 2026)
    Dezvoltarea rapidă a Internetului obiectelor a dus la conectarea unui număr mare de dis pozitive cu resurse limitate (memorie, putere de calcul, energie), expuse amenințărilor precum interceptarea, modificarea mesajelor, ...
  • COVATARIU, D.; JUDELE, L.; DONISAN, A.; LEPĂDAT, D. (Institute of Physics, 2025)
    With the continuous rise in heating costs, energy efficiency has become an increasingly critical aspect of building design and construction. One important factor influencing thermal performance is the air layer within the ...
  • KAZAK, Artur; MIROVSKI, Vladimir; IVANOVICI, Mihai (Institute of Electrical and Electronics Engineers, 2025)
    The accurate classification of crops is an important step in sustainable agriculture when it comes to decision-making and optimizing resource management. The effectiveness of machine learning algorithms for this task depends ...
  • PLETEA, Ionica; ALECSANDRESCU, Iolanda; LUCANU, Nicolae; AGHION, Cristian; BARABAŞA, Constantin; ZBANCIOC, Marius; HAGAN, Marius; ŞONTEA, Victor (Institute of Electrical and Electronics Engineers, 2025)
    Neural Grain (NG) is a new concept that defines a computational architecture based on a scalable neural network, implemented in 3D topology. The paper presents the description of this concept and the implementation results ...
  • KAZAK, Artur; IVANOVICI, Mihai (Institute of Electrical and Electronics Engineers, 2025)
    The satellite remote sensing data-based classification of agricultural crops is a critical tool for agricultural management. We propose a crop classification framework that combines complementary texture descriptors from ...
  • LEPADATU, Daniel; JUDELE, Loredana; BUCUR, Dana Roxana; RUSU, Ion; PROASPAT, Eduard; CIUBARCA, Pavel; KOBI, Abdessamad (Institute of Electrical and Electronics Engineers, 2025)
    The incorporation of nano-materials into concrete has emerged as a promising approach to enhance its mechanical performance, durability, and microstructural characteristics. However, predicting nano-concrete mix designs ...
  • PANDELICĂ, Mihai-Lucian; VLĂSCESANU, Giorgiana Violeta; ŢURCANU, Mihai (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Document digitization involves converting physical documents into editable digital text, a process that offers significant benefits such as preserving archives, enabling remote access, and simplifying content modification. ...
  • RESUL, Ebru; TURCANU, Dinu; RUGHINIS, Rǎzvan (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Cyber Threat Intelligence (CTI) Reports are valuable resources of information for understanding adversarial behaviors and malware functionalities. However, their lack of consistency and structure often results in a challenge ...
  • CHIPER, Maria; STANESCU, Daria; BECHERU, Traian; PECA, Ludmila (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    As the number of cyberattacks increases year by year, malware detection remains a pressing challenge, as traditional methods are no longer sufficient due to the dynamic nature of the field. Machine learning comes as an ...
  • NITU, Victor Emanuil; DUMITRASCU, Marius; LOAN, Slavu (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    The push for healthcare digitalization is growing, with increasing demands for security, data processing and streamlined applications. In the broader context, the technology can not only be used in a clinical setting, but ...
  • BRÂNZAN, Leon (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    The domain of information and communication technology faces a challenge of integrating increasingly massive amounts of data. Despite significant progress in development of data management and exchange solutions (e.g., the ...
  • BADEA, Dan Gabriel; POCRIS, Sabin; ŢURCANU, Dinu (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    This paper introduces and develops Temperance, an adversary emulation framework, which can be used to quickly reproduce a C2 (Command and Control) infrastructure by red team operators for simulating a cyber operation. The ...
  • SPATARU, Alexe Luca; CARABAS, Costin; TURCANU, Dinu (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Smart contracts power a vast array of blockchain applications, securing billions of dollars on decentralized finance, but their immutable nature turns every vulnerability into a permanent exploitable liability. Although ...
  • DICU, Teodor-Alexandru; PĂTRU, George-Cristian; VELCIU, Diana-Maria; ŢURCANU, Mihai (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Indoor localization in environments without GPS poses a fundamental constraint for cost and payload limited autonomous robots, where high precision often conflicts with practical deployment; optical motion capture systems ...
  • BADEA, Dan Gabriel; MONEA, Damian; SAVA, Lilia (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    This paper presents a comparison between three popular open-source MLOps frameworks: MLflow, Metaflow, and ZenML, studied in three real-world machine learning scenarios: extractive text summarization using a BERT-based ...
  • RADULESCU, Vlad; VĂDUVA, Jan-Alexandru; ŢURCANU, Tatiana (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Capstone projects represent practical projects car-ried out at the end of a study program or chapter, integrating knowledge into functional solutions, relevant for real-life contexts. The complex nature of these projects ...

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