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Search results for: INTELIGENCJA PRZESTRZENI
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Aneta Sobiechowska-Ziegert dr
PeopleShe works at the Department of Statistics and Econometrics at the Faculty of Management and Economics. She is passionate about using modern teaching methods in quantitative subjects. She is a certified coach and tutor. She teaches courses in economic forecasting and spatial econometrics. She is also the chair of the Faculty's Quality of Education Committee and oversees the EMOS education track, certified by Eurostat. Currently,...
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Metropolie ery cyfrowej- wpływ nowych technologii informacyjnych i komunikacyjnych na kształt współczesnego miasta = Digital metropolis - the impact of new information and communication technologies on contemporary city
PublicationDynamiczny rozwój technologii informacyjnych i cyfrowych zapoczątkowany w drugiej połowie XX wieku wpłynął na zmianę wizerunku współczesnego miasta. Coraz bardziej wyraźną rolę w jego tworzeniu zaczęły odgrywać fasady, powłoki budynków oraz fragmenty przestrzeni publicznych, w obrębie których zaczęto integrować pojawiające się innowacyjne technologie, potocznie zwane medialnymi. Powierzchnie architektoniczne wyposażone w nie...
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Centrum aktywności / Lubawa
PublicationStworzenie przestrzeni publicznej wpływającej pozytywnie na społeczne relacje – poczucie sprawczości, odpowiedzialności oraz współuczestnictwa jednostek w życiu lokalnej społeczności – wymaga wzięcia pod uwagę nie tylko obecnych oczekiwań jej użytkowników. Taka przestrzeń powinna również przewidywać i kształtować przyszłe aspiracje wspólnoty. Otwarte w 2020 roku Centrum Aktywności Społecznej zaprojektowane przez Autorską Pracownię...
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Applied intelligence and knowledge-based systems: challenges, approaches, nad case studies - part 1
PublicationPrzeanalizowano najnowsze kierunki badawcze i rozwojowe w obszarze zastosowań sztucznej inteligencji i systemów opartych na wiedzy
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Patryk Ziółkowski dr inż.
PeoplePatryk Ziolkowski is a graduate of the Faculty of Civil and Environmental Engineering at the Gdansk University of Technology, specializing in Building and Engineering Structures. He works as an Assistant Professor at the Department of Engineering Structures. He participated in international projects, including projects for the Ministry of Transportation of the State of Alabama (2015), he is also the winner of a grant from the Kosciuszko...
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Sztuczna inteligencja (2022/2023)
e-Learning CoursesSztuczna inteligencja - kurs dla IV semestru FT/IS.
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Sztuczna inteligencja (2021/2022)
e-Learning CoursesSztuczna inteligencja - kurs dla IV semestru FT/IS.
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Sztuczna inteligencja (2023/2024)
e-Learning CoursesSztuczna inteligencja - kurs dla IV semestru FT/IS.
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Smart future of knowledge management
PublicationW pracy przedstawiono kierunek przyszłościowego rozwoju obszaru zarządzania wiedzą pod kątem jego użyteczności w tworzeniu sztucznej inteligencji.
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Socjologia przestrzeni
e-Learning Courses -
Smart systems integration: toward overcoming the problem of complexity
PublicationW pracy omówiono modelowa propozycję integracji systemu opartą na zastosowaniu sztucznej inteligencji w celu rozwiązania problemu złożoności systemowej.
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An overview of Multiple-Input Multiple-Output(MIMO) system
PublicationW artykule omówiono podstawy teoretyczne funkcjonowania systemów wieloantenowych, w tym korzyści wynikające z ich stosowania, podstawowe konfiguracje systemów wieloantenowych i opis ich działania, pojęcie pojemności kanału MIMO i jego modelowania oraz dwa podstawowe sposoby realizacji techniki MIMO, tj. kodowanie przestrzenno-czasowe i multipleksacja przestrzenna (techniki BLAST).
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L22_23 Seminarium dyplomowe mgr. EwM SI2
e-Learning CoursesII stopień IBio - specjalność Sztuczna Inteligencja i EwM
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Krzysztof Wróblewski prof. dr art. mal.
People -
Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845311]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015843401]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844551]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551202761]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [8150730005228051]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002096541]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551206791]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Dedifferentiated liposarcoma - Male, 71 - Tissue image [5300730025883481]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015841931]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [8150730005228841]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551201531]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845391]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015847751]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584551]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551205301]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844581]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015848161]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584651]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551207081]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015844051]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [531073001584481]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551202191]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Female, 54 - Tissue image [9220729551203701]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845381]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015845621]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Liposarcoma, well differentiated, NOS - Female, 60 - Tissue image [5310730015843461]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Społeczeństwo informacyjne w zrównoważonym rozwoju
PublicationRozwinięte społeczeństwo informacyjne (SI) jest podstawą dla funkcjonowania zrównoważonego rozwoju (ekorozwoju). Zbiorowość ta posiada zespół nabytych cech i umiejętności ludzkich w posługiwaniu się nowoczesnymi technikami i technologiami informatycznymi w różnych sferach działania rzeczywistej przestrzeni, jakie nam zakreśla współczesny świat. Za przyczyną bogatej infrastruktury telekomunikacyjnej przestrzeń ta stała się nieograniczona...
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Anna Orchowska dr inż. arch.
People -
Karol Flisikowski dr inż.
PeopleKarol Flisikowski works as Associate Professor at the Department of Statistics and Econometrics, Faculty of Management and Economics, Gdansk University of Technology. He is responsible for teaching descriptive and mathematical statistics (in Polish and English), as well as scientific research in the field of social statistics. He has been a participant in many national and international conferences, where he has presented the results...
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Gabriela Rembarz dr inż. arch.
PeopleGabriela Rembarz inżynier-architekt, urbanista, naukowiec, dydaktyk i aktywna projektantka, jest doktorem nauk technicznych w dyscyplinie architektura i urbanistyka, Ukończyła studia magisterskie na Wydziale Architektury i Urbanistyki Politechniki Gdańskiej, uzupełniając je specjalizacją w Ochronie Środowiska w ramach międzyuczelnianego CENVIG Center of Environmental Studies (Politechnika Gdańska) akredytowanego przez Roskilde...
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Role of inner-city brownfields in urban development of european cities - example of Gdańsk Music and Congress Centre
PublicationPołożone w bliskim sąsiedztwie śródmieść tereny poprzemysłowe odgrywają w miastach europejskich ważną rolę w przekształceniach struktur miejskich. Kształtowane na posiadających bardzo silną tożsamość terenach wielofunkcyjne, przestrzenie publiczne przyczyniają się do zatrzymania w centrum miast jego mieszkańców i przeciwdziałają ich ucieczce na obrzeża. Wyżej wspomniane kulturowe i historyczne dziedzictwo, jak i genius loci obecny...
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Detection of broadband signals in the field of aperture and array systems.
PublicationAnteny i szyki anten w dolnopasmowych systemach hydroakustycznych wnoszą istotne zniekształcenia liniowe wpływające na możliwości detekcji sygnałów szerokopasmowych. W artykule analizowany jest charakter takich zniekształceń metodą przestrzenno - czasowych odpowiedzi impulsowych. Sygnał odbierany w różnych kierunkach przestrzeni poddano filtracji na dwa sposoby z filtrem dopasowanym do sygnału nadawanego i filtrem dopasowanym...
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Marek Moszyński dr hab. inż.
People -
Paraganglioma, NOS - Male, 46 - Tissue image [5290730025512701]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [5290730025514601]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Paraganglioma, NOS - Male, 46 - Tissue image [5290730025511051]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.