UTM: Recent submissions

  • Holistic optimization through reinforced unified synergy: a novel approach for agent-based modeling 
    LISNIC, Inga; SCROB, Sergiu (Technical University of Moldova, 2024)
    The paper proposes a new approach for agent-based modeling and reinforcement learning, using a coordinated system of four specialized neural networks – Imagination, Stimulation, Strategy and Intuition. These models act as ...
  • Managing and monitoring the flow of ads on selling platforms 
    CEBOTARU, Daniel; ALEXEI, Victoria (Technical University of Moldova, 2024)
    Online advertising platforms are an essential component of global marketing. With millions of users browsing daily, these platforms provide a dynamic environment for businesses of all sizes to promote their products and ...
  • The reusability of public omics data across 5 million research publications 
    MUNTEANU, Viorel; DRABCINSKI, Nicolae; CIORBA, Dumitru; MANGUL, Serghei; BOSTAN, Viorel (Technical University of Moldova, 2024)
    Publicly accessible omics data are a vital resource for the scientific community, enabling re-analysis, experiments, and meta-analyses that promote reproducibility and fuel new discoveries. Despite their importance, the ...
  • Comparative analysis of serial-parallel and parallel network reliability for different distributions with Monte Carlo simulations 
    ANDRIEVSCHI-BAGRIN, Veronica (Technical University of Moldova, 2024)
    This paper is about the reliability of some networks with serialparallel and parallel-serial architectures. It compares the dynamic mathematical models of both types of networks. The unit’s lifetimes of the networks are ...
  • Development of an employee scheduling application under consecutive days-off constraints 
    ISTRATI, Daniela; CALMÎCOV, Igor; MORARU, Vasile; ZAPOROJAN, Sergiu (Technical University of Moldova, 2024)
    This paper presents a model of an application for monitoring the scheduling of a company’s human resources, which was developed taking into consideration the two important factors: matching the required number of employees ...
  • Fake news detection in Moldova’s information space 
    SMARCEVSCAIA, Maria; BOBICEV, Victoria (Technical University of Moldova, 2024)
    The described research is dedicated to the development of an automatic fake news detection system. Fake news, also known as disinformation or misinformation, poses a significant threat to society. Fake news can erode trust ...
  • Mixed sum-product and convolutional networks for classification problems 
    BADEA, Maria-Alexandra; PELICAN, Elena; VERNIC, Raluca (Technical University of Moldova, 2024)
    In this work, we propose a joint Sum-Product (SPN) and Convolutional (CNN) Network for classification problems, namely image classification performed on several real-life benchmark datasets. These mixed networks represent ...
  • Cascade control algorithm of the servormotor drive of robotic arm 
    MORARU, Dumitru; FIODOROV, Ion; IZVOREANU, Bartolomeu; COJUHARI, Irina (Technical University of Moldova, 2024)
    In this paper is synthesized the control algorithms in cascade control systems. The control object is the robotic arm which is actuated by a servo motor presented as a cascade control system which is consisting of two ...
  • Correlation of the CubeSat TestPod vibration test results with finite element analysis 
    BOSTAN, Viorel; GUȚU, Marin; MELNIC, Vladimir; MARTÎNIUC, Alexei (Technical University of Moldova, 2024)
    One of the important verification steps before the launch of the nanosatellite developed at TUM (TUMnanoSAT) was vibration testing of the real model. These tests were carried out according to the requirements submitted by ...
  • ERP system implementation in companies 
    DUCA, Ludmila; ZAPOROJAN, Sergiu; ISTRAT, Daniela (Technical University of Moldova, 2024)
    This paper presents an review on the Enterprise Resource Planning (ERP), which are software systems that help run businesses, supporting automation and processes in human resources, procurement, finance, supply chain, ...
  • Rare events detection and forecasting in dynamic systems 
    CATLABUGA, Eugeniu; DRABCINSCHI, Nicolae; MUNTEANU, Viorel; SUDACEVSCHI, Viorica (Technical University of Moldova, 2024)
    Rare events, such as financial crises, banking failures and epidemics outbreaks can significantly impact economies and people’s lives. Early detection in the banking sector is crucial for mitigating financial losses and ...
  • Method for knowledge acquisition based on image processing for decision-making systems 
    ABABII, Victor; STRUNA, Vadim; SUDACEVSCHI, Viorica; BOROZAN, Olesea; MUNTEANU, Silvia (Technical University of Moldova, 2024)
    This work proposes a method of acquiring and updating knowledge based on image processing with application in modern decision-making systems. At the basis of the research carried out is the behavioral model of human beings, ...
  • Demagoguery and its automatic recognition in texts 
    MOROZOVA, Evghenia; BOBICEV, Victoria (Technical University of Moldova, 2024)
    The work is devoted to automatic text analysis in order to detect the demagoguery. The demagoguery is used to play with the hopes and fears, and especially the hatred, of the people, betraying their true interests for the ...
  • Advanced drone-based monitoring of agricultural, forestry, and aquatic ecosystems: technical framework 
    GUTU, Maria; ROTARU, Lilia; ALEXEI, Victoria; KAPUSTEANSKI, Maxim (Technical University of Moldova, 2024)
    The rapid advancement of drone technology has significantly transformed environmental monitoring by enhancing capabilities for observing and managing agricultural, forestry, and aquatic ecosystems. This paper presents a ...
  • Spatial-temporal modeling of critical infrastructure systems 
    ROȘCA, Neonil; LUNGU, Iulian; SUDACEVSCHI, Viorica; ABABII, Victor (Technical University of Moldova, 2024)
    The application of timed Petri nets for the spatio-temporal modelling of critical infrastructure systems is essential for the effective assessment and management of the risks associated with their operation. Critical ...
  • Quantum computing for multi-qubit systems using Schwinger’s paired bosons representation of angular momentum 
    GERU, Ion I. (Technical University of Moldova, 2024)
    The fundamental difference between calculations performed using quantum and classical computers is that, unlike a bit, a quantum bit (qubit) is a linear combination of quantum states |1/2, 1/2 > and |1/2, −1/2 > of effective ...
  • Integration of a proprietary software application and a multimodal LLM for enhanced nutritional guidance 
    IAPĂSCURTĂ, Victor; ȚURCANU, Dinu; SIMINIUC, Rodica (Technical University of Moldova, 2024)
    In the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application ...
  • Assessing the usability of software applications: a case study 
    ALEXA, Alexandra-Petronela; BAUTU, Elena (Technical University of Moldova, 2024)
    Usability is a critical factor in determining the success of a software application and user satisfaction with respect to it. It tackles how effectively, efficiently and satisfactorily the users interact with a system. ...
  • Modeling the behavior of pollutants on the Dniester river in Olăneşti region 
    BRANIȘTE, Rodica; MARUSIC, Galina; SAVA, Nina; ABABII, Victor; CĂRBUNE, Viorel (Technical University of Moldova, 2024)
    Effective prediction and monitoring of pollutants in river-type aquatic systems is critical for protecting aquatic ecosystems and public health. This study presents a comprehensive methodology for simulating and analyzing ...
  • TinyLlama-powered AI chatbot: transforming medical education for patients 
    MARUSIC, Diana (Technical University of Moldova, 2024)
    In the last two years, the rise of Large Language Models (LLMs) and Small Language Models (SLMs) has driven advancements in fields such as industry, education, and healthcare. For obvious reasons, medical practitioners ...

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