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Utworzenie w Gdańsku Centrum Kompetencji STOS (Smart and Transdisciplinary knOwledge Services) w zakresie infrastruktury B+R
Projekt współfinansowany jest ze środków Europejskiego Funduszu Rozwoju Regionalnego w ramach Regionalnego Programu Operacyjnego Województwa Pomorskiego na lata 2014-2020.
Projekt współfinansowany jest ze środków dotacji celowej na podstawie umowy zawartej pomiędzy Skarbem Państwa - Ministrem Edukacji i Nauki a Politechniką Gdańską (UMOWA NR 14/2021/RPO).
Details
- Project's acronym:
- CK STOS
- Financial Program Name:
- Regionalny Program Operacyjny dla Województwa Pomorskiego na lata 2014-2020
- Organization:
- Agencja Rozwoju Pomorza S.A.
- Agreement:
- RPPM.01.02.00-22-0001/17-00 z dnia 2019-05-06
- Realisation period:
- 2019-01-01 - 2023-06-30
- Project manager:
- prof. dr hab. inż. Henryk Krawczyk
- Realised in:
- Academic Computer Centre TASK
- External institutions
participating in project: -
- Chopin Telewizja Kablowa Sp. z o.o. (Poland)
- Project's value:
- 163 050 148.36 PLN
- Request type:
- European Founds
- Domestic:
- Domestic project
- Verified by:
- Gdańsk University of Technology
Papers associated with that project
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total: 3
Catalog Projects
Year 2023
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Long‐time scale simulations of virus‐like particles from three human‐norovirus strains
PublicationThe dynamics of the virus like particles (VLPs) corresponding to the GII.4 Houston, GII.2 SMV, and GI.1 Norwalk strains of human noroviruses (HuNoV) that cause gastroenteritis was investigated by means of long-time (about 30 μs in the laboratory timescale) molecular dynamics simulations with the coarse-grained UNRES force field. The main motion of VLP units turned out to be the bending at the junction between the P1 subdomain (that...
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UNRES-GPU for Physics-Based Coarse-Grained Simulations of Protein Systems at Biological Time- and Size-Scales
PublicationThe dynamics of the virus like particles (VLPs) corresponding to the GII.4 Houston, GII.2 SMV, and GI.1 Norwalk strains of human noroviruses (HuNoV) that cause gastroenteritis was investigated by means of long-time (about 30 μs in the laboratory timescale) molecular dynamics simulations with the coarse-grained UNRES force field. The main motion of VLP units turned out to be the bending at the junction between the P1 subdomain (that...
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Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks
PublicationThe presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....
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