UTM: Recent submissions

  • BESLIU, Victor (Technical University of Moldova, 2024)
    A linear discrete-time system (LDTS) is deemed stable if the poles of its transfer function are located within the unit circle in the complex z-plane. To verify pole locations, techniques such as the Schur-Cohn criterion ...
  • BOLUN, Ion (Technical University of Moldova, 2024)
    The creation and development of computer networks and data centers involves considerable expenses. Minimizing these expenses is important. In this paper, the backbone subnet and server set of wide area computer networks ...
  • MELNIC, Radu (Technical University of Moldova, 2024)
    This paper presents a case study exploring the use of correlation and regression models to evaluate and predict the promotion rate of students at the Technical University of Moldova, a public higher education institution ...
  • BAIAS, Andreea-Elena (Technical University of Moldova, 2024)
    This paper explores the properties of idempotent and nilpotent elements in octonion algebras over finite fields, specifically Zp, where p is a prime number. Octonion algebras, which extend quaternion algebras, are characterized ...
  • FRATAVCHAN, Valerіi; FRATAVCHAN, Tonia; ABABII, Victor (Technical University of Moldova, 2024)
    The paper describes some of the difficulties of using the classical genetic algorithm in a multidimensional numerical space. An optimization algorithm is proposed, which functions according to the principle of the genetic ...
  • LAGORNÎI, Alexandr; BOBICEV, Victoria; ALEXEI, Victoria (Technical University of Moldova, 2024)
    Automatic simplification of drug descriptions and medical texts is a very important task, it helps people with low medical literacy to understand complex drug descriptions and medical texts. Automatic text simplification ...
  • DUCA, Ludmila; ZAPOROJAN, Sergiu; ISTRATI, Daniela; MUNTEAN, Nicolae (Technical University of Moldova, 2024)
    In the competitive and dynamic context of the fitness industry, fitness centers must optimize internal operations and provide personalized experiences to attract and retain customers. Integrating Artificial Intelligence ...
  • SCROB, Sergiu; LISNIC, Inga (Technical University of Moldova, 2024)
    The paper proposes a new approach for image segmentation using abstract color modeling derived from the latent space of a Variational Autoencoder (VAE) model. By training the VAE to compress and reconstruct multi-class ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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, ...