UTM: Recent submissions

  • 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 ...
  • In situ measurements for the validation of Sentinel-2 Data 
    IVANOVICI, Mihai; DEBU, Matei; KUHN, Alexander; KAZAK, Artur (Technical University of Moldova, 2024)
    Validation of remotely-sensed data is crucial for the massive adoption of applications fostering remote sensing data. In the framework of the Copernicus program, the Sentinel-2 data are an invaluable source of information ...
  • The likelihood function based on uncensored/censored statistical data for Min-PSD(Max-PSD) and Max-PSD(Min-PSD) as lifetime distributions in network reliability 
    LEAHU, Alexei; ANDRIEVSCHI-BAGRIN, Veronica; ROTARU, Maria (Technical University of Moldova, 2024)
    In our paper general formulas for the likelihood function are derived in the case when uncensored/censored statistical data refer to the lifetime of serial-parallel and parallel-serial type networks when the lifetimes of ...
  • Cybersecurity risks and mitigation strategies for SMEs: a focus on the Republic of Moldova 
    ALEXEI, Anatolie; MORARU, Victor (Technical University of Moldova, 2024)
    The digitization of small and medium-sized enterprises (SME) is taking place at a rapid pace in recent years. SMEs carry out different business processes that are based on information systems. ENISA's 2021 report reflected ...
  • Leveraging AWS EMR for scalable and efficient neural network deployment in cloud computing 
    KYRYCHENKO, Yevhen; MALYK, Ihor (Technical University of Moldova, 2024)
    This research investigates the potential of AWS Elastic MapReduce (EMR) as a cloud-based solution for building and deploying neural networks, focusing on its performance, scalability, and flexibility compared to traditional ...
  • Real-time communication tools for web applications in a cloud environment 
    KYRYCHENKO, Oleksandr; KYRYCHENKO, Oksana (Technical University of Moldova, 2024)
    This research analyzes AWS AppSync's effectiveness in enabling scalable, real-time communication between web applications. It highlights the benefits of serverless models in resource efficiency and cost. A comparison between ...
  • A structured analysis of security and privacy threats in large language models 
    ȘARAPOVA, Ana (Technical University of Moldova, 2024)
    Large Language Models (LLMs), such as ChatGPT, have rapidly become integrated into daily life, often without a full understanding of their security and privacy implications. As these models grow more influential, two key ...