Browsing Conferinţe by Subject "machine learning"

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  • Analysis with Unsupervised Learning Based Techniques of Load Factor Profiles and Hyperspectral Images 
    PENTIUC, Ştefan-Gheorghe; BOBRIC, Elena Crenguța; BILIUS, Laura-Bianca (Technical University of Moldova, 2022)
    The problem of obtaining an optimal partition consistent with a series of partitions resulting from the application of various clustering algorithms is NP complete. A heuristic method based on the concepts of central ...
  • Data Science approach for IT project management 
    GRABIS, Janis; HAIDABRUS, Bohdan; PROTSENKO, Serhiy; PROTSENKO, Iryna; ROVNA, Anna (Tehnica UTM, 2019)
    Majority of the IT companies realized that ability to analyse and use data, could be one of the key factors for increasing of number of successful projects, portfolios, programs. Key performance indicators based on data ...
  • Dealing With Missing Continuous Biomedical Data: a Data Recovery Method for Machine Learning Purposes 
    IAPASCURTA, Victor (Technical University of Moldova, 2022)
    There are different approaches to dealing with missing data. A common one is by deleting observations containing such data, but it is not applicable when the volume of the data is limited. In this case, a number of methods ...
  • Design of Specialized Hardware Architectures for Industry 4.0 
    MUNTEANU, Silvia; CĂRBUNE, Viorel (Technical University of Moldova, 2022)
    In the process of transition to Industry 4.0, the importance of applying cutting-edge technologies such as machine learning and artificial intelligence to replace human operators in industrial processes is explained by the ...
  • Kolmogorov-Chaitin Algorithmic Complexity for EEG Analysis 
    IAPASCURTA, Victor; FIODOROV, Ion (Technical University of Moldova, 2022)
    Electroencephalography as a generally accepted method of monitoring the electrical activity of brain neurons is widely used both in diseases and in healthy conditions. The recorded electrical signal is usually obtained ...
  • A Less Common Algorithmic Complexity Approach to EEG Signal Processing for Machine Learning 
    IAPASCURTA, Victor (Springer Nature Switzerland, 2023)
    Electroencephalography (EEG) is a widely used neuroimaging technique that records the electrical activity of the brain. EEG analysis provides valuable insights into brain dynamics and understanding of neural processes. As ...
  • Model evolutiv de poziționare al brațului robotic 
    NEGARĂ, Eugeniu (UTM Tehnica, 2018)
    Model membranar de poziționare al brațului robotic expus, are ca scop adaptarea sistemului la condițiile de soluționare a problemei, utilizînd ca model o arhitectură formată din patru unități logice care în ansamblu formează ...
  • NLP Tools for Epileptic Seizure Prediction Using EEG Data: A Comparative Study of Three ML Models 
    IAPASCURTA, Victor; FIODOROV, Ion (Springer Nature Switzerland, 2023)
    Natural Language Processing (NLP) is an ever-evolving field of computer science that involves the development of algorithms that can process, analyze and understand human language. One of the most exciting areas of NLP is ...
  • Tendințe tehnologice în domeniul inteligenței artificiale 
    DONOS, Eugenia (Technical University of Moldova, 2017)
    Inteligența artificială, deși e un domeniu mai vechi, abia în ultimul deceniu a crescut semnificativ. Un set mare și divers de tehnologii importante sunt în curs de dezvoltare, fiind favorizate de disponibilitatea volumelor ...

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