Facultatea Calculatoare, Informatică şi Microelectronică: Recent submissions

  • 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 ...
  • An optimal landing problem for a bessel process 
    LEFEBVRE, Mario (Technical University of Moldova, 2024)
    This type of problem, in which the optimizer controls a stochastic process until a certain event occurs, is known as a homing problem. The above problem can be interpreted as an optimal landing problem, with d representing ...
  • Analysis of non-classical heat conduction models 
    DRIN, Irina; DRIN, Svitlana; DRIN, Yaroslav; LUTSKIV, Mykhailo (Technical University of Moldova, 2024)
    Let 𝑡 > 0 be the time variable, х – the spatial variable where 0 ≤ 𝑥 ≤ 𝑙 and 𝑓, 𝜑, 𝜇1, 𝜇2 be known function of their arguments. Let 𝑢(𝑥, 𝑡) be unknown function representing temperature of a rod positioned along ...
  • Leveraging data science for effective research management in the field of scientometrics 
    CUJBA, Rodica (Technical University of Moldova, 2024)
    In today's rapidly evolving world, research and development have become increasingly complex, necessitating innovative management approaches. The exponential growth in research outputs—ranging from scholarly articles to ...
  • Entropy-based Kullback-Leibler taxonomic classification of biological sequences 
    MUNTEANU, Viorel; DRABCINSKI, Nicolae; CIORBĂ, Dumitru; BOSTAN, Viorel (Technical University of Moldova, 2024)
    Accurate classification of biological sequences is fundamental for understanding their functional, structural, and evolutionary significance. Traditional alignment-based methods often face challenges when applied to large, ...
  • Synthesis of the control system of the manipulator robot 
    FIODOROV, Ion; IZVOREANU, Bartolomeu; PALAMARCIUC, Nadejda (Technical University of Moldova, 2024)
    The manipulator robot is composed of a series of subsystems: actuators (DC motors); mechanical transmissions (gear reducers); articulated bars connected by rotational couplings (mechanical structure). According to the ...
  • Implementation of Artificial Intelligence in engineering teaching and learning 
    SECRIERU, Nicolae; ADĂSCĂLIȚEI, Adrian A.; CĂRBUNE, Viorel; ANDRONIC, Serghei; GRIȚCO, Roman (Technical University of Moldova, 2024)
    This paper is concerned with increasing the efficiency of teaching and learning in engineering by applying artificial intelligence (AI) techniques and technologies. An approach to realize the personalized intelligent ...

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