IRTUM – Institutional Repository of the Technical University of Moldova

Browsing International Conference on Electronics, Communications and Computing (IC|ECCO) by Subject "machine learning"

Browsing International Conference on Electronics, Communications and Computing (IC|ECCO) 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 ...

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