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  1.  11
    The Application of Feed - Forward Neural Network Architecture for Improving Energy Efficiency.Delia Balacian, Denisa Maria Melian & Stelian Stancu - 2023 - Postmodern Openings 14 (2):1-17.
    The energy sector contributes approximately two-thirds of global greenhouse gas emissions. In this context, the sector must adapt to new supply and demand networks for all future energy sources. The ongoing transformation in the European energy field is driven by the ambition of the European Union to reach the climate objectives set for 2030. The main actions are increasing renewable energy production, adapting transition fuels like natural gas to reduce emissions, improving energy efficiency across all economic sectors, prioritizing building, transportation, (...)
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  2.  31
    The Influence of the Religious Factors on the Electoral Option – Quantitative Analysis.Tudorel Andrei, Ion Gh Rosca, Stelian Stancu & Andreea Iluzia Iacob - 2008 - Journal for the Study of Religions and Ideologies 7 (21):20-43.
    In this study there are presented a series of aspects concerning the religious behavior of the Romanian population. By using quantitative analysis we have identified a series of religious key factors which can be used by parties and politicians to obtain votes during election campaigns. The obtained results highlight the fact that people with a lower level of education are more receptive to the political messages transmitted by religious means. Also, the influence of political actions and messages having a religious (...)
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  3.  15
    Churn Prepaid Client Profile in Romanian Postmodernism Telecommunications.Andreea Dumitrache, Denisa Maria Melian & Stelian Stancu - 2020 - Postmodern Openings 11 (2supl1):93-106.
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  4.  10
    Customer Churn Prediction in Telecommunication Industry. A Data Analysis Techniques Approach.Denisa Maria Melian, Andreea Dumitrache, Stelian Stancu & Alexandra Nastu - 2022 - Postmodern Openings 13 (1 Sup1):78-104.
    Telecommunications is one of the most dynamic sectors in the market, where the customer base is an important pawn in receive safe revenues, so is important to focus attention is paid to maintaining them with an active status. Migrating customers from one network to another varies among telecommunication companies depending on different factors such as call quality, pricing plan, minute consumption, data, sms facilities, customer billing issues, etc. Determining an effective predictive model helps detect early warning signals when churn occurs (...)
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  5. Tudorel Andrei Ion gh. roşca andreea iluzia iacob.Stelian Stancu - 2008 - Journal for the Study of Religions and Ideologies 7 (21):20-43.
     
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