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  1. Book: Dental digital photography

    Liu, Feng

    from dental clinical photography to digital smile design

    2019  

    Author's details Feng Liu editor
    Keywords DSD ; cosmetic dentistry ; dental photography standards ; digital smile design ; photographic equipment ; Zahnmedizin ; Digitale Fotografie
    Subject Digitale Photographie ; Digitalphotographie ; Digitalfotografie ; Digitalfotographie ; Digitalphotografie ; Digitale Fotographie ; Digitale Photografie ; Odontologie ; Zahn-, Mund- und Kieferheilkunde ; Zahn-Mund-Kieferheilkunde ; Zahnheilkunde
    Subject code 610
    Language English
    Size XXXVII, 318 Seiten, Illustrationen, 27.9 cm x 21 cm
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book
    HBZ-ID HT020003128
    ISBN 978-981-13-1621-0 ; 981-13-1621-X ; 9789811316227 ; 9811316228
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2019 A 514 available for loan (reading room) Lesesaal EG

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  2. Book ; Online: Dynamic Functional Connectivity in Neuropsychiatric Disorders: Methods and Applications

    Guo, Wenbin / Liu, Feng / Cui, Zaixu

    2020  

    Keywords Science: general issues ; Neurosciences ; Structural MRI ; functional MRI ; cognitive deficits ; depression ; anxiety
    Size 1 electronic resource (71 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230648
    ISBN 9782889661954 ; 2889661954
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Conference proceedings: Selected papers from the 2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB)

    Liu, Feng

    [held in Wuhan on 11 - 13 October 2013]

    (Biotechnology & biotechnological equipment ; 27,4)

    2013  

    Event/congress International Conference on Biomedical Engineering and Biotechnology (2, 2013, Wuhan)
    Author's details [guest ed.: Feng Liu ...]
    Series title Biotechnology & biotechnological equipment ; 27,4
    Collection
    Language English
    Size A1-A4, S. 3901 - 4048 : Ill., graph. Darst., Kt.
    Publisher Diagnosis Press
    Publishing place Sofia
    Publishing country Bulgaria
    Document type Book ; Conference proceedings
    HBZ-ID HT018239566
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    Z 6265 (27,4) available for loan (reading room) Freihandmagazin (U1)

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  4. Book ; Online: Brain and Somatization Symptoms in Psychiatric Disorders

    Guo, Wenbin / Zhang, Fengyu / Liu, Feng / Yan, Chaogan

    2019  

    Keywords Medicine ; Psychiatry ; structural MRI ; functional MRI ; Somatization symptoms ; Depression ; Anxiety
    Size 1 electronic resource (262 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021229826
    ISBN 9782889458868 ; 2889458865
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article ; Online: Design and research of simulation test training system for unmanned boat motion control

    LIU Feng, XU Erxu

    Zhihui kongzhi yu fangzhen, Vol 45, Iss 6, Pp 112-

    2023  Volume 120

    Abstract: Aiming at the lack of simulation test means for unmanned equipment at the firing range, this paper designs a simulation test training system for unmanned vehicle motion control based on CoppeliaSim simulation software and on the basis of the construction ...

    Abstract Aiming at the lack of simulation test means for unmanned equipment at the firing range, this paper designs a simulation test training system for unmanned vehicle motion control based on CoppeliaSim simulation software and on the basis of the construction of unmanned vehicle dynamics model and motion model, and constructs three controllers, PID, synovium and fuzzy PID. The Navmesh routing algorithm is selected to realize the path planning of the unmanned boat simulation platform. The system fills the gap in the simulation test of unmanned equipment at the firing range, solves the problem of the lack of simulation training means of unmanned boat, and can provide basic support for the digital test evaluation of unmanned equipment.
    Keywords usv|motion control|simulation system|controllers|path planning ; Military Science ; U
    Language Chinese
    Publishing date 2023-12-01T00:00:00Z
    Publisher Editorial Office of Command Control and Simulation
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Objektverfolgung durch Fusion von Radar- und Monokameradaten auf Merkmalsebene für zukünftige Fahrerassistenzsysteme

    Liu, Feng

    2010  

    Abstract: Die vorliegende Arbeit beschreibt eine neuartige Objektverfolgung durch Fusion von Radar- und Monokameradaten auf Merkmalsebene. In dieser Arbeit wird ein neues Assoziationsverfahren auf Basis der PDA-Methodik untersucht. Es wird ein Interacting Multiple ...

    Abstract Die vorliegende Arbeit beschreibt eine neuartige Objektverfolgung durch Fusion von Radar- und Monokameradaten auf Merkmalsebene. In dieser Arbeit wird ein neues Assoziationsverfahren auf Basis der PDA-Methodik untersucht. Es wird ein Interacting Multiple Model Filter (IMMF) mit einer vollständigen, adaptiven Modellierung der Objektdynamik in Längs- und Querrichtung vorgestellt. Die Thematik Objektklassifikation sowie Gassenbreiteschätzung wird auch beleuchtet
    Keywords Technology (General)
    Size 1 electronic resource (XII, 149 p. p.)
    Publisher KIT Scientific Publishing
    Publishing place Verlagsort nicht ermittelbar
    Document type Book ; Online
    Note GERMAN ; Open Access
    HBZ-ID HT020197520
    ISBN 9783866445772 ; 3866445776
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article ; Online: Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects.

    Liu, Feng / Liu, Xiaoming

    IEEE transactions on pattern analysis and machine intelligence

    2024  Volume 46, Issue 3, Page(s) 1852–1867

    Abstract: The objective of this paper is to learn dense 3D shape correspondence for topology-varying generic objects in an unsupervised manner. Conventional implicit functions estimate the occupancy of a 3D point given a shape latent code. Instead, our novel ... ...

    Abstract The objective of this paper is to learn dense 3D shape correspondence for topology-varying generic objects in an unsupervised manner. Conventional implicit functions estimate the occupancy of a 3D point given a shape latent code. Instead, our novel implicit function produces a probabilistic embedding to represent each 3D point in a part embedding space. Assuming the corresponding points are similar in the embedding space, we implement dense correspondence through an inverse function mapping from the part embedding vector to a corresponded 3D point. Both functions are jointly learned with several effective and uncertainty-aware loss functions to realize our assumption, together with the encoder generating the shape latent code. During inference, if a user selects an arbitrary point on the source shape, our algorithm can automatically generate a confidence score indicating whether there is a correspondence on the target shape, as well as the corresponding semantic point if there is one. Such a mechanism inherently benefits man-made objects with different part constitutions. The effectiveness of our approach is demonstrated through unsupervised 3D semantic correspondence and shape segmentation.
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2022.3233431
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Article: Decentralized restoration of distribution systems with coupling neighboring microgrids.

    Cui, Qi / Liu, Feng

    Heliyon

    2024  Volume 10, Issue 7, Page(s) e28344

    Abstract: In this study, a multi-agent system (MAS) is incorporated in a decentralized strategy to restore distribution systems while taking into account coupling neighboring microgrids (CNMGs). This provides modeling for renewable energy sources (RESs), electric ... ...

    Abstract In this study, a multi-agent system (MAS) is incorporated in a decentralized strategy to restore distribution systems while taking into account coupling neighboring microgrids (CNMGs). This provides modeling for renewable energy sources (RESs), electric vehicles (EVs), battery storage systems (BSS) and load. The desired and most favorable restoration path is found by the MAS, in which zone agents are dispersed across the distribution system. The MAS can also manage microgrids (MGs) overloaded as the unbalance operation of RESs, BSS, EVs, and load. This is realized by making a bridge between MGs and neighboring non-overloaded MGs. The suggested method adheres to voltage and power flow restrictions while operating according to expert system standards. The recommended approach is put to the test using a 33-bus radial distribution system. MATLAB calculations on agents and power flow are carried out in order to verify the validity of the choices made by agents. The proposed restoration plan is able to obtain the best power supply path with a low number of switching in the event of a fault so that the voltage magnitude is higher than 0.9 p.u. and free capacity is available for the distribution lines. The smart charging strategy of EVs reduces 93% of their turn off compared to the non-smart charging strategy. However, if the CNMG plan is established, all vehicles can be powered.
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e28344
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Introduction to the supplement issue on bioengineering.

    Gómez, Carlos / Liu, Feng

    Technology and health care : official journal of the European Society for Engineering and Medicine

    2024  

    Language English
    Publishing date 2024-04-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1159961-3
    ISSN 1878-7401 ; 0928-7329
    ISSN (online) 1878-7401
    ISSN 0928-7329
    DOI 10.3233/THC-248000
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3846: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: MobileNetV3 network-based diagnosis of caries and periapical periodontitis from periapical films

    WANG Kaixin / LIU Feng / ZENG Lingfang / LIU Chao

    口腔疾病防治, Vol 32, Iss 1, Pp 43-

    2024  Volume 49

    Abstract: Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases. Methods A ... ...

    Abstract Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases. Methods A dataset containing 2 298 periapical films, including healthy teeth, dental caries, and periapical periodontitis, was used for the study. The dataset was randomly divided into 1 573 training images, 233 validation images, and 492 test images. By comparing various neural network models, the MobileNetV3 network model with better performance was selected for dental disease diagnosis, and the model was optimized by tuning the network hyperparameters. The accuracy, precision, recall, and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis. Class activation map was used to visualization analyze the performance of the network model. Results The algorithm achieved a relatively ideal intelligent diagnostic effect with precision, recall, and accuracy of 99.42%, 99.73%, and 99.60%, respectively, and the F1 score was 99.57% for classifying healthy teeth, dental caries, and periapical periodontitis. The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases. Conclusion The tooth lesion detection algorithm based on the MobileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accuracy, which can meet the needs of dental medicine teaching and clinical applications.
    Keywords dental disease ; caries ; periapical periodontitis ; periapical film ; intelligent diagnosis ; image processing ; deep learning ; mobilenetv3 network ; class activation map ; visualization analysis ; Medicine ; R
    Subject code 006
    Language Chinese
    Publishing date 2024-01-01T00:00:00Z
    Publisher Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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