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Your search keyword '"POPIVANOV, P."' showing total 243 results
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243 results on '"POPIVANOV, P."'

1. Rare host variants in ciliary expressed genes contribute to COVID-19 severity in Bulgarian patients

Author

Kamenarova, Kunka, Kachakova-Yordanova, Darina, Baymakova, Magdalena, Georgiev, Martin, Mihova, Kalina, Petkova, Veronika, Beltcheva, Olga, Argirova, Radka, Atanasov, Petar, Kunchev, Metodi, Andonova, Radina, Zasheva, Anelia, Drenska, Rumiana, Ivanov, Ivaylo, Pantileeva, Diana, Koleva, Vesselina, Penev, Anton, Lekova-Nikova, Diana, Georgiev, Delyan, Pencheva, Daniela, Bozhilova, Radosveta, Ivanova, Nevyana, Dimova, Ivanka, Plochev, Kamen, Popov, Georgi, Popivanov, Ivan, Gabrovsky, Nikolay, Leseva, Magdalena, Mitev, Vanio, and Kaneva, Radka

Published
2024
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3. Mathematical and Computer Modeling of COVID-19 Transmission Dynamics in Bulgaria by Time-depended Inverse SEIR Model

Author

Margenov, Svetozar, Popivanov, Nedyu, Ugrinova, Iva, Harizanov, Stanislav, and Hristov, Tsvetan

Subjects
Quantitative Biology - Populations and Evolution, Physics - Physics and Society
Abstract

In this paper we explore a time-depended SEIR model, in which the dynamics of the infection in four groups from a selected target group (population), divided according to the infection, are modeled by a system of nonlinear ordinary differential equations. Several basic parameters are involved in the model: coefficients of infection rate, incubation rate, recovery rate. The coefficients are adaptable to each specific infection, for each individual country, and depend on the measures to limit the spread of the infection and the effectiveness of the methods of treatment of the infected people in the respective country. If such coefficients are known, solving the nonlinear system is possible to be able to make some hypotheses for the development of the epidemic. This is the reason for using Bulgarian COVID-19 data to first of all, solve the so-called "inverse problem" and to find the parameters of the current situation. Reverse logic is initially used to determine the parameters of the model as a function of time, followed by computer solution of the problem. Namely, this means predicting the future behavior of these parameters, and finding (and as a consequence applying mass-scale measures, e.g., distancing, disinfection, limitation of public events), a suitable scenario for the change in the proportion of the numbers of the four studied groups in the future. In fact, based on these results we model the COVID-19 transmission dynamics in Bulgaria and make a two-week forecast for the numbers of new cases per day, active cases and recovered individuals. Such model, as we show, has been successful for prediction analysis in the Bulgarian situation. We also provide multiple examples of numerical experiments with visualization of the results., Comment: keywords: Nonlinear approximation, Mathematical modeling, data extrapolation

Published
2020
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5. Extending Relational Query Processing with ML Inference

Author

Karanasos, Konstantinos, Interlandi, Matteo, Xin, Doris, Psallidas, Fotis, Sen, Rathijit, Park, Kwanghyun, Popivanov, Ivan, Nakandal, Supun, Krishnan, Subru, Weimer, Markus, Yu, Yuan, Ramakrishnan, Raghu, and Curino, Carlo

Subjects
Computer Science - Databases, Computer Science - Machine Learning
Abstract

The broadening adoption of machine learning in the enterprise is increasing the pressure for strict governance and cost-effective performance, in particular for the common and consequential steps of model storage and inference. The RDBMS provides a natural starting point, given its mature infrastructure for fast data access and processing, along with support for enterprise features (e.g., encryption, auditing, high-availability). To take advantage of all of the above, we need to address a key concern: Can in-RDBMS scoring of ML models match (outperform?) the performance of dedicated frameworks? We answer the above positively by building Raven, a system that leverages native integration of ML runtimes (i.e., ONNX Runtime) deep within SQL Server, and a unified intermediate representation (IR) to enable advanced cross-optimizations between ML and DB operators. In this optimization space, we discover the most exciting research opportunities that combine DB/Compiler/ML thinking. Our initial evaluation on real data demonstrates performance gains of up to 5.5x from the native integration of ML in SQL Server, and up to 24x from cross-optimizations--we will demonstrate Raven live during the conference talk.

Published
2019

6. It is time to define an organizational model for the prevention and management of infections along the surgical pathway: a worldwide cross-sectional survey

Author

Sartelli, Massimo, Labricciosa, Francesco M., Coccolini, Federico, Coimbra, Raul, Abu-Zidan, Fikri M., Ansaloni, Luca, Al-Hasan, Majdi N., Ansari, Shamshul, Barie, Philip S., Caínzos, Miguel Angel, Ceresoli, Marco, Chiarugi, Massimo, Claridge, Jeffrey A., Cicuttin, Enrico, Dellinger, Evan Patchen, Fry, Donald E., Guirao, Xavier, Hardcastle, Timothy Craig, Hecker, Andreas, Leppäniemi, Ari K., Litvin, Andrey, Marwah, Sanjay, Maseda, Emilio, Mazuski, John E., Memish, Ziad Ahmed, Kirkpatrick, Andrew W., Pagani, Leonardo, Podda, Mauro, Rasa, Huseyin Kemal, Sakakushev, Boris E., Sawyer, Robert G., Tumietto, Fabio, Xiao, Yonghong, Aboubreeg, Wedad Faraj, Adamou, Harissou, Akhmeteli, Lali, Akin, Emrah, Alberio, Maria Grazia, Alconchel, Felipe, Magagi, Ibrahim Amadou, Araúz, Ana Belén, Argenio, Giulio, Atanasov, Boyko C., Atici, Semra Demirli, Awad, Selmy Sabry, Baili, Efstratia, Bains, Lovenish, Bala, Miklosh, Baraket, Oussama, Baral, Suman, Belskii, Vladislav A., Benboubker, Moussa, Ben-Ishay, Offir, Bordoni, Pierpaolo, Boumédiène, Abdalia, Brisinda, Giuseppe, Cavazzuti, Laura, Chandy, Sujith J., Chiarello, Maria Michela, Cillara, Nicola, Clarizia, Guglielmo, Cocuz, Maria-Elena, Cocuz, Iuliu Gabriel, Conti, Luigi, Coppola, Raffaella, Cui, Yunfeng, Czepiel, Jacek, D’Acapito, Fabrizio, Damaskos, Dimitrios, Das, Koray, De Simone, Belinda, Delibegovic, Samir, Demetrashvili, Zaza, Detanac, Dzemail S., Dhingra, Sameer, Di Bella, Stefano, Dimitrov, Evgeni N., Dogjani, Agron, D’Oria, Mario, Dumitru, Irina Magdalena, Elmangory, Mutasim M., Enciu, Octavian, Fantoni, Massimo, Filipescu, Daniela, Fleres, Francesco, Foghetti, Domitilla, Fransvea, Pietro, Gachabayov, Mahir, Galeiras, Rita, Gattuso, Gianni, Ghannam, Wagih M., Ghisetti, Valeria, Giraudo, Giorgio, Gonfa, Kebebe Bekele, Gonullu, Emre, Hamad, Yousif Tag Elsir Y., Hecker, Matthias, Isik, Arda, Ismail, Nizar, Ismail, Azzain, Jain, Sumita Agarwal, Kanj, Souha S., Kapoor, Garima, Karaiskos, Ilias, Kavalakat, Alfie J., Kenig, Jakub, Khamis, Faryal, Khokha, Vladimir, Kiguba, Ronald, Kim, Jae Il, Kobe, Yoshiro, Kok, Kenneth Yuh Yen, Kovacevic, Bojan M., Kryvoruchko, Igor Andreevich, Kuriyama, Akira, Landaluce-Olavarria, Aitor, Lasithiotakis, Konstantinos, Lohsiriwat, Varut, Lostoridis, Eftychios, Luppi, Davide, Vega, Gustavo Miguel Machain, Maegele, Marc, Marinis, Athanasios, Martines, Gennaro, Martínez-Pérez, Aleix, Massalou, Damien, Mesina, Cristian, Metan, Gökhan, Miranda-Novales, María Guadalupe, Mishra, Shyam Kumar, Mohamed, Mohaned Ibrahim Hussein, Mohamedahmed, Ali Yasen Y., Mora-Guzmán, Ismael, Mulita, Francesk, Musina, Ana-Maria, Navsaria, Pradeep H., Negoi, Ionut, Nita, Gabriela Elisa, O’Connor, Donal B., Ordoñez, Carlos Alberto, Pantalone, Desiré, Panyko, Arpád, Papadopoulos, Aristeidis, Pararas, Nikolaos, Pata, Francesco, Patel, Tapan, Pellino, Gianluca, Perra, Teresa, Perrone, Gennaro, Pesce, Antonio, Pintar, Tadeja, Popivanov, Georgi Ivanov, Porcu, Alberto, Quiodettis, Martha Alexa, Rahim, Razrim, Mitul, Ashrarur Rahman, Reichert, Martin, Rems, Miran, Campbell, Glendee Yolande Reynolds, Rocha-Pereira, Nuno, Rodrigues, Gabriel, Villamil, Gustavo Eduardo Roncancio, Rossi, Stefano, Sall, Ibrahima, Kafil, Hossein Samadi, Sasia, Diego, Seni, Jeremiah, Seretis, Charalampos, Serradilla-Martín, Mario, Shelat, Vishal G., Siribumrungwong, Boonying, Slavchev, Mihail, Solaini, Leonardo, Tan, Boun Kim, Tarasconi, Antonio, Tartaglia, Dario, Toma, Elena Adelina, Tomadze, Gia, Toro, Adriana, Tovani-Palone, Marcos Roberto, van Goor, Harry, Vasilescu, Alin, Vereczkei, Andras, Veroux, Massimiliano, Weckmann, Sergio Alberto, Widmer, Lukas Werner, Yahya, AliIbrahim, Zachariah, Sanoop K., Zakaria, Andee Dzulkarnaen, Zubareva, Nadezhda, Zuidema, Wietse P., Di Carlo, Isidoro, Cortese, Francesco, Baiocchi, Gian Luca, Maier, Ronald V., and Catena, Fausto

Published
2022
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28. Smooth and Nonsmooth Solutions of Several Equations of Mathematical Physics and Their Cellular Neural Network Realization

Author

Popivanov, P., Slavova, A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Margenov, Svetozar, editor, Vulkov, Lubin G., editor, and Waśniewski, Jerzy, editor

Published
2009
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32. ON THE SOLVABILITY OF THE SCHRÖDINGER EQUATION WITH POWER AND LOGARITHMIC-POWER TYPE OF NONLINEARITIES.

Author

POPIVANOV, P. and SLAVOVA, ANGELA

Subjects
NONLINEAR Schrodinger equation, TELECOMMUNICATION, HYPERBOLIC functions, WAVE mechanics, HYPERBOLIC processes
Abstract

This paper deals with the nonlinear Schrödinger equation (NSE) with polynomial (power type) and power logarithmic nonlinearities. A third order generalization of NSE - the so called RKLE with applications in telecommunications is considered too. In some special cases the soliton solutions or the blowing up solutions can be expressed by elementary or special functions (elliptic, hyperbolic). We are looking for the wave solutions ansatz having real non-negative amplitude and linear phase. The amplitude satisfies second order nonlinear ODE and it is constructed by using the method of first integral (in mechanic processes with one degree of freedom are described by such type ODEs). So the solutions are found into integral form and one-parametric family of periodic solutions is constructed. Several illustrative examples of periodic, blowing up and soliton type solutions are proposed. [ABSTRACT FROM AUTHOR]

Published
2023
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