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  1. Book: Gastrointestinal infections

    Ince, M. Nedim

    (Gastroenterology clinics of North America ; volume 50, number 2 (June 2021))

    2021  

    Author's details editors M. Nedim Ince, David E. Elliott
    Series title Gastroenterology clinics of North America ; volume 50, number 2 (June 2021)
    Collection
    Language English
    Size xvi Seiten, Seite 243-488, Illustrationen
    Publisher Elsevier
    Publishing place Philadelphia, Pennsylvania
    Publishing country United States
    Document type Book
    HBZ-ID HT021063705
    ISBN 978-0-323-83598-5 ; 0-323-83598-8
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Se 123 -50,2- verfügbar in Königswinter Königswinter

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  2. Book ; Online: Wastewater Treatment

    Ince, Muharrem / Kaplan Ince, Olcay

    2022  

    Keywords Waste treatment & disposal ; Environmental science, engineering & technology
    Language English
    Size 1 electronic resource (278 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030377622
    ISBN 9781803558486 ; 1803558482
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Osmotically Driven Membrane Processes

    Ince, Muharrem / Kaplan Ince, Olcay

    2022  

    Keywords Waste treatment & disposal
    Language 0|e
    Size 1 electronic resource (134 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021613551
    ISBN 9781839689130 ; 1839689137
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article: Automatic and intelligent content visualization system based on deep learning and genetic algorithm.

    İnce, Murat

    Neural computing & applications

    2022  Volume 34, Issue 3, Page(s) 2473–2493

    Abstract: Increasing demand in distance education, e-learning, web-based learning, and other digital sectors (e.g., entertainment) has led to excessive amounts of e-content. Learning objects (LOs) are among the most important components of electronic content (e- ... ...

    Abstract Increasing demand in distance education, e-learning, web-based learning, and other digital sectors (e.g., entertainment) has led to excessive amounts of e-content. Learning objects (LOs) are among the most important components of electronic content (e-content) and are preserved in learning object repositories (LORs). LORs produce different types of electronic content. In producing e-content, several visualization techniques are employed to attract users and ensure a better understanding of the provided information. Many of these visualization systems match images with corresponding text using methods such as semantic web, ontologies, natural language processing, statistical techniques, neural networks, and deep neural networks. Unlike these methods, in this study, an automatic and intelligent content visualization system is developed using deep learning and popular artificial intelligence techniques. The proposed system includes subsystems that segment images to panoptic image instances and use these image instances to generate new images using a genetic algorithm, an evolution-based technique that is one of the best-known artificial intelligence methods. This large-scale proposed system was used to test different amounts of LOs for various science fields. The results show that the developed system can be efficiently used to create visually enhanced content for digital use.
    Language English
    Publishing date 2022-01-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 1480526-1
    ISSN 1433-3058 ; 0941-0643
    ISSN (online) 1433-3058
    ISSN 0941-0643
    DOI 10.1007/s00521-022-06887-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Biochemical Toxicology : Heavy Metals and Nanomaterials

    Ince, Muharrem / Kaplan Ince, Olcay / Ondrasek, Gabrijel

    2020  

    Keywords Pharmacology ; Medical toxicology
    Size 1 electronic resource (230 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021050121
    ISBN 9781838809218 ; 183880921X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article: BiLSTM and dynamic fuzzy AHP-GA method for procedural game level generation.

    İnce, Murat

    Neural computing & applications

    2021  Volume 33, Issue 15, Page(s) 9761–9773

    Abstract: The use of games in daily life, especially in education, has been in an incline during the COVID-2019 pandemic. Thus, game-based learning environments have caused an increase in the need of game contents, but generation of the game contents and levels is ...

    Abstract The use of games in daily life, especially in education, has been in an incline during the COVID-2019 pandemic. Thus, game-based learning environments have caused an increase in the need of game contents, but generation of the game contents and levels is a time-consuming and costly process. Generated game contents and levels should be balanced, dense, aesthetic and reachable. Also, the time as well as the costs spent should be decreased. In order to overcome this problem, automatic and intelligent game content and level generation methods have emerged, and procedural content generation (PCG) is the most popular one of these methods. Artificial intelligence techniques are used for procedural game level generation instead of traditional methods. In this study, bidirectional long short-term memory (BiLSTM) and fuzzy analytic hierarchy process-genetic algorithm (FAHP-GA) methods were used to generate procedural game levels. This proposed hybrid system was used in a developed educational game as a case study to create game levels. The performance of the proposed study was compared to the other multi-criteria decision-making (MCDM) methods, and also further statistical analyses were investigated. The results showed that the BiLSTM-based FAHP-GA method can be used for procedural game level generation effectively.
    Language English
    Publishing date 2021-06-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 1480526-1
    ISSN 1433-3058 ; 0941-0643
    ISSN (online) 1433-3058
    ISSN 0941-0643
    DOI 10.1007/s00521-021-06180-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Hydrocarbon Pollution and its Effect on the Environment

    Ince, Muharrem / Kaplan Ince, Olcay

    2019  

    Keywords Pollution & threats to the environment
    Size 1 electronic resource (98 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021049813
    ISBN 9781839680311 ; 1839680318
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  8. Book ; Online: Recent Advances in Analytical Chemistry

    Ince, Muharrem / Kaplan Ince, Olcay

    2019  

    Keywords Organic chemistry ; mass spectrometry, proteomics, biosensors, metabolomics, screening, infectious diseases
    Language English
    Size 1 electronic resource (162 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030645618
    ISBN 9781839621222 ; 1839621222
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  9. Article ; Online: THRIVE, rapid sequence induction and oxygenation.

    Ince, M

    Anaesthesia

    2017  Volume 72, Issue 8, Page(s) 1032

    MeSH term(s) Anesthesia, General ; Humans ; Insufflation ; Masks
    Language English
    Publishing date 2017-06-22
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 80033-8
    ISSN 1365-2044 ; 0003-2409
    ISSN (online) 1365-2044
    ISSN 0003-2409
    DOI 10.1111/anae.13928
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 388: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Peripartum management of tuberous sclerosis complex complicated by massive angiomyolipomas.

    Knapp, C / Ince, M / Zacharzewski, A

    Anaesthesia reports

    2022  Volume 10, Issue 2, Page(s) e12176

    Abstract: Tuberous sclerosis complex is a genetic disease that can affect multiple organs, commonly the renal, central nervous, cardiac and respiratory systems. Here, we present the peripartum management of a woman with a new diagnosis of tuberous sclerosis ... ...

    Abstract Tuberous sclerosis complex is a genetic disease that can affect multiple organs, commonly the renal, central nervous, cardiac and respiratory systems. Here, we present the peripartum management of a woman with a new diagnosis of tuberous sclerosis complex associated with massive renal angiomyolipomas. There was significant risk of catastrophic haemorrhage from the angiomyolipomas during pregnancy. This created a challenging scenario for the anaesthetists, obstetricians, urologists and interventional radiologists involved in their care, necessitating collaborative working, numerous investigations and honest patient-centred discussions. Evidence for the management of tuberous sclerosis and angiomyolipomas in pregnancy does not appear to have been previously reported. After much consideration, arterial embolisation of the most vascular area of the angiomyolipoma was completed at 28 weeks gestation under remifentanil sedation. An elective caesarean section under combined spinal epidural anaesthesia was completed at 37 + 3 weeks gestation. Central nervous system involvement must always be considered; benign tumours within the brain and spinal cord may contraindicate neuraxial techniques. Early multidisciplinary involvement is essential due to the diverse and complex nature of tuberous sclerosis. Individuals differ in their presentation and disease severity; therefore, they must be assessed on an individual basis with management tailored accordingly.
    Language English
    Publishing date 2022-07-05
    Publishing country England
    Document type Case Reports
    ISSN 2637-3726
    ISSN (online) 2637-3726
    DOI 10.1002/anr3.12176
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