Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Sotir SOTIROV"'
Autor:
Dicho Stratiev, Ivelina Shiskova, Vesislava Toteva, Georgi Georgiev, Rosen Dinkov, Iliyan Kolev, Ivan Petrov, Georgi Argirov, Veselina Bureva, Simeon Ribagin, Krassimir Atanassov, Svetoslav Nenov, Sotir Sotirov, Radoslava Nikolova, Anife Veli
Publikováno v:
Resources, Vol 13, Iss 6, p 86 (2024)
A comprehensive investigation of a highly complex petroleum refinery (Nelson complexity index of 10.7) during the processing of 11 crude oils and an imported atmospheric residue replacing the design Urals crude oil was performed. Various laboratory o
Externí odkaz:
https://doaj.org/article/374f4782a8434102a397f01ba2804ad1
Publikováno v:
Batteries, Vol 9, Iss 10, p 519 (2023)
The topic of battery state-of-health monitoring via electrical and non-electrical testing procedures has become of increased interest for scientific researchers, due to the imposed goal of expanded industrial sustainability. Within the present study,
Externí odkaz:
https://doaj.org/article/b5f01d7f20674d65b126a35734278745
Autor:
Dicho Stratiev, Ivelina Shishkova, Mihail Ivanov, Rosen Dinkov, Borislav Georgiev, Georgi Argirov, Vassia Atanassova, Petar Vassilev, Krassimir Atanassov, Dobromir Yordanov, Aleksey Popov, Alessia Padovani, Ulrike Hartmann, Stefan Brandt, Svetoslav Nenov, Sotir Sotirov, Evdokia Sotirova
Publikováno v:
ACS Omega, Vol 6, Iss 11, Pp 7626-7637 (2021)
Externí odkaz:
https://doaj.org/article/83a22c2ee1bb47df9eabbfc0bacf1662
Publikováno v:
IEEE Access, Vol 8, Pp 222890-222899 (2020)
Cohen-Grossberg neural networks with delays provide a very powerful tool in the study of information processing, parallel computation, pattern recognition and solving of optimization problems. The robust stability behavior of such neural network mode
Externí odkaz:
https://doaj.org/article/29c5df0dfade462291a8ae45edeff232
Autor:
Borislav Enchev Georgiev, Dicho Stoyanov Stratiev, Georgy Stoilov Argirov, Angel Nedelchev, Rosen Dinkov, Ivelina Kostova Shishkova, Mihail Ivanov, Krassimir Atanassov, Simeon Ribagin, Georgi Nikolov Palichev, Svetoslav Nenov, Sotir Sotirov, Evdokia Sotirova, Dimitar Pilev, Danail Dichev Stratiev
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3755 (2023)
The Urals and Siberian vacuum residues are considered difficult to process in the ebullated bed hydrocracking because of their increased tendency to form sediments. Their achievable conversion rate reported in the literature is 60%. Intercriteria ana
Externí odkaz:
https://doaj.org/article/a6d31886a5364d14aba26db69556293a
Publikováno v:
Mathematics, Vol 11, Iss 3, p 716 (2023)
The concept of an intuitionistic fuzzy deep neural network (IFDNN) is introduced here as a demonstration of a combined use of artificial neural networks and intuitionistic fuzzy sets, aiming to benefit from the advantages of both methods. The investi
Externí odkaz:
https://doaj.org/article/22d9f1f32693444b9fd5651068f8cd49
Autor:
Dicho Stratiev, Svetoslav Nenov, Dimitar Nedanovski, Ivelina Shishkova, Rosen Dinkov, Danail D. Stratiev, Denis D. Stratiev, Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Simeon Ribagin, Krassimir Atanassov, Dobromir Yordanov, Nora A. Angelova, Liliana Todorova-Yankova
Publikováno v:
Energies, Vol 15, Iss 5, p 1755 (2022)
The use of hydrocracked and straight-run vacuum residues in the production of road pavement bitumen requires a good understanding of how the viscosity and softening point can be modeled and controlled. Scientific reports on modeling of these rheologi
Externí odkaz:
https://doaj.org/article/a9ec8dcfcdc04b10b23d8f79ebec115b
Autor:
Dicho Stratiev, Svetoslav Nenov, Dimitar Nedanovski, Ivelina Shishkova, Rosen Dinkov, Danail D. Stratiev, Denis D. Stratiev, Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Krassimir Atanassov, Dobromir Yordanov, Nora A. Angelova, Simeon Ribagin, Liliana Todorova-Yankova
Publikováno v:
Resources, Vol 10, Iss 10, p 99 (2021)
Four nonlinear regression techniques were explored to model gas oil viscosity on the base of Walther’s empirical equation. With the initial database of 41 primary and secondary vacuum gas oils, four models were developed with a comparable accuracy
Externí odkaz:
https://doaj.org/article/2203e86f2568438fb3eeee563ba1ea40
Autor:
Dicho S. Stratiev, Svetoslav Nenov, Ivelina K. Shishkova, Rosen K. Dinkov, Kamen Zlatanov, Dobromir Yordanov, Sotir Sotirov, Evdokia Sotirova, Vassia Atanassova, Krassimir Atanassov, Danail D. Stratiev, Liliana Todorova-Yankova
Publikováno v:
Resources, Vol 10, Iss 8, p 82 (2021)
This work presents characterization data and viscosity of 34 secondary vacuum gas oils (H-Oil gas oils, visbreaker gas oils, and fluid catalytic cracking slurry oils) with aromatic content reaching up to 100 wt.%. Inter-criteria analysis was employed
Externí odkaz:
https://doaj.org/article/971a82bc826e427ebaf327cca2aa2c93
Publikováno v:
Fractal and Fractional, Vol 5, Iss 3, p 78 (2021)
In this paper, a fractional-order Cohen–Grossberg-type neural network with Caputo fractional derivatives is investigated. The notion of almost periodicity is adapted to the impulsive generalization of the model. General types of impulsive perturbat
Externí odkaz:
https://doaj.org/article/598a1bc7bb694ef8b9af67250d6b684c