Meglena Delcheva Lazarova

Dr. Meglena Delcheva Lazarova


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2023
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Book Chapter
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Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
MPMetodi Popstoilov
Metodi Popstoilov
MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova

1 January 2023 in AIP Conference Proceedings
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Conference Paper
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Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
Silvia BaevaSilvia Baeva
Silvia Baeva
MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova
LILyudmila Ivanova
Lyudmila Ivanova
The measurement and analysis of the seasonal fluctuations in the production capacity generated by Photovoltaic Power System (PVs) are of a great importance and

29 August 2023
Verified
Book Chapter
Closed access
PDF file
Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
AKAnton Kitanov
Anton Kitanov
MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova
Slavi GeorgievSlavi Georgiev
Slavi Georgiev

31 January 2023 in Computation
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Journal Article
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MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova
Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
Fast-growing technology and the development of IT services have yielded the idea of founding a new application of stochastic processes and their properties. We give a new connection between electronic process management and a relatively new stochastic process named the Non-central Polya-Aeppli process. This process is applied as a counting process in the mathematical construction of the given model, and it has been introduced as a counting process in electronic process management.
1

29 August 2023
Verified
Book Chapter
Closed access
PDF file
Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
AKAnton Kitanov
Anton Kitanov
MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova
Slavi GeorgievSlavi Georgiev
Slavi Georgiev

22 May 2025 in Mathematics
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Journal Article
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PDF file
Fatima SapundzhiFatima Sapundzhi
Fatima Sapundzhi
VDVesna Dimitrova
Vesna Dimitrova
MLMeglena Delcheva Lazarova
Meglena Delcheva Lazarova
Slavi GeorgievSlavi Georgiev
Slavi Georgiev
MTMichail Todorov
Michail Todorov
Venelin TodorovVenelin Todorov
Venelin Todorov
Fast-growing technology and the development of IT services give the idea of founding a new application of stochastic processes and their properties. We give a new connection between electronic process management and a stochastic process named the bivariate Pólya–Aeppli counting process. This process is applied as a counting process in the mathematical construction of the given model and it has been introduced as a counting process in electronic process management. In our current study, we assume a company that has two locations in two countries—Bulgaria and Romania. For seamless communication and data sharing, the integrated factories leverage the System Applications and Products in Data Processing (SAP) system. By combining these functions into one structure, we optimize coordination, streamline operations, and improve the company’s productivity and profitability. The automated tools within the system facilitate uninterrupted production and secure supply chains and thus the decision making is improved. A key benefit of these tools is to boost production and procurement activities for success in today’s competitive market which results in cost savings, will increase visibility, and also will improve rapid decision making.