Articole ştiinţifice: Recent submissions

  • The effect of cultivar type on the production of Spinacia oleracea L. 
    NOVACA, T. (International Society for Horticultural Science, 2025)
    The aim of the research is to study the best performing cultivars in relation to growth, yield and quality of spinach production. The research was carried out in a private vegetable farm. Four spinach cultivars – ‘Clipper’ ...
  • The development of education in the field of fruit growing in the Republic of Moldova 
    BALAN, V.; PESTEANU, A.; MANZIUC, V. (International Society for Horticultural Science, 2025)
    In order to rationally use land resources and agricultural machinery, to apply the achievements of science to production, and modernize orchard management systems, highly qualified specialists in agriculture have always ...
  • Advanced modelling of the buildings energy efficiency by envelope's air layer optimization 
    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 ...
  • Random data sampling for an agricultural crop classification task 
    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 ...
  • Neural Grain implemented in monolithic 3D technology 
    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 ...
  • Agricultural crop classification using Sentinel-2 data and local features 
    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 ...
  • Advanced nano-concrete characteristics materials prediction using Taguchi design of experiment and artificial neural networks 
    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 ...
  • Exploring OCR: Combining open-source engines for improved document digitization 
    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. ...
  • A comparative analysis of LLMs in mapping malware behaviors to MITRE ATT&CK techniques from textual threat intelligence reports 
    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 ...
  • Adversarial attacks for scripts 
    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 ...
  • Digital fleet management for ambulance service 
    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 ...
  • Protocols for semantic interoperability in distributed environments 
    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 ...
  • Temperance: Adversary emulation framework 
    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 ...
  • A multi - agent framework for auditing Smart contracts 
    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 ...
  • A comprehensive review of indoor localization techniques for autonomous robots 
    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 ...
  • Practical benchmark of open-source MLOps platforms: Comparing MLflow, Metaflow and ZenML across model type 
    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 ...
  • Towards transparent judging: Sentiment analysis and score distribution in educational competitions 
    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 ...
  • Securely sharing Electronic Health Records over blockchain 
    PARIS, Cristian-Tănase; CARABAS, Costin; BOSTAN, Viorel (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    Blockchain technology has gained significant traction in recent years. These decentralized databases offer security, immutability, and scalability across various applications. These properties are ideal for building ...
  • Practical cryptanalysis of ECDSA: Comparative efficiency analysis of Brute-Force and Baby-Step Giant-Step key recovery methods 
    PATRASCU, Ionel; SIMINIUC, Sergiu (IEEE (Institute of Electrical and Electronics Engineers), 2025)
    The Elliptic Curve Digital Signature Algorithm (ECDSA) is pivotal for securing digital information across various applications. This paper investigates ECDSA's security by focusing on two generic attack methodologies: ...
  • Aplicarea diagramelor temperatură – timp la rezolvarea problemelor de calorimetrie 
    POPA, Mihail (“Ion Creanga" State Pedagogical University, 2025)
    Articolul respectiv își propune scopul să prezinte utilizarea diagramelor temperatură-timp la rezolvarea reușită a problemelor de calorimetrie. La rezolvarea multiplelor probleme de fizică este suficientă rezolvarea ...

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