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  1. Book ; Online: The Circular Economy

    Zhang, Tao

    Recent Advances in Sustainable Waste Management

    2022  

    Keywords Waste management ; The environment
    Language English
    Size 1 electronic resource (110 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030377616
    ISBN 9781803559148 ; 1803559144
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Sewage

    Zhang, Tao

    Recent Advances, New Perspectives and Applications

    2022  

    Keywords Waste treatment & disposal
    Language 0|e
    Size 1 electronic resource (142 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021612466
    ISBN 9781839698262 ; 1839698268
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Circular Economy : Recent Advances, New Perspectives and Applications

    Zhang, Tao

    2021  

    Keywords Development economics & emerging economies
    Size 1 electronic resource (128 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021044901
    ISBN 9781838810719 ; 1838810714
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Phase-field Modeling of Phase Changes and Mechanical Stresses in Electrode Particles of Secondary Batteries

    Zhang, Tao

    2021  

    Keywords Mechanical engineering & materials ; Phasenfeldansatz ; Phasentrennung ; Nichtlokalität ; Endliche Verformungselastizität ; Sekundärbatterien ; Phase-field approach ; Phase segregation ; Nonlocality ; Finite deformation elasticity ; Secondary batteries
    Size 1 electronic resource (224 pages)
    Publisher KIT Scientific Publishing
    Publishing place Karlsruhe
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021232702
    ISBN 9783731510024 ; 3731510022
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online: Phosphorus

    Zhang, Tao

    Recovery and Recycling

    2019  

    Keywords Organic chemistry ; agriculture, hydroxyapatite, eutrophication, crystallization, fertilizer, biofertilizers
    Language English
    Size 1 electronic resource (104 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030647655
    ISBN 9781838810238 ; 1838810234
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Book ; Thesis: Sex specificity in colorectal cancer-derived liver metastasis

    Zhang, Tao / Gagliani, Nicola / Huber, Samuel

    2021  

    Institution Universität Hamburg
    Universität Hamburg / Medizinische Fakultät
    Author's details vorgelegt von: Tao Zhang ; Prüfungsausschuss, der/die Vorsitzende: Prof. Dr. Nicola Gagliani, Prüfungsausschuss, zweite/r Gutachter/in: Prof. Dr. Samuel Huber
    Language English
    Size 63 Seiten, Illustrationen, Diagramme
    Publishing place Hamburg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Universität Hamburg, 2021
    Note Text Englisch, Zusammenfassung in deutscher und englischer Sprache ; References: Seite 51-58 ; Dissertation angenommen von der Medizinischen Fakultät der Universität Hamburg
    HBZ-ID HT030339690
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2023 E 1025 order for loan Magazin

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  7. Book ; Online: Episodic-free Task Selection for Few-shot Learning

    Zhang, Tao

    2024  

    Abstract: Episodic training is a mainstream training strategy for few-shot learning. In few-shot scenarios, however, this strategy is often inferior to some non-episodic training strategy, e. g., Neighbourhood Component Analysis (NCA), which challenges the ... ...

    Abstract Episodic training is a mainstream training strategy for few-shot learning. In few-shot scenarios, however, this strategy is often inferior to some non-episodic training strategy, e. g., Neighbourhood Component Analysis (NCA), which challenges the principle that training conditions must match testing conditions. Thus, a question is naturally asked: How to search for episodic-free tasks for better few-shot learning? In this work, we propose a novel meta-training framework beyond episodic training. In this framework, episodic tasks are not used directly for training, but for evaluating the effectiveness of some selected episodic-free tasks from a task set that are performed for training the meta-learners. The selection criterion is designed with the affinity, which measures the degree to which loss decreases when executing the target tasks after training with the selected tasks. In experiments, the training task set contains some promising types, e. g., contrastive learning and classification, and the target few-shot tasks are achieved with the nearest centroid classifiers on the miniImageNet, tiered-ImageNet and CIFAR-FS datasets. The experimental results demonstrate the effectiveness of our approach.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2024-01-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Network Fault Diagnosis of Embedded System Based on Topology Constraint and Data Mining.

    Zhang, Tao

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 1868677

    Abstract: Maintaining the safe and efficient operation of network technology is an important development task of the computer industry. Topology constraint can optimize and combine the tracking results and select the target objects with better tracking performance ...

    Abstract Maintaining the safe and efficient operation of network technology is an important development task of the computer industry. Topology constraint can optimize and combine the tracking results and select the target objects with better tracking performance to obtain the final tracking results and determine the target scale changes. Data mining technology can reduce the number of combinations to be detected, reduce the workload, and improve the timeliness and accuracy of the process of mining alarm association rules. Therefore, based on the summary and analysis of previous research results, this paper studied the network fault diagnosis of the embedded system method based on topology constraint and data mining. Firstly, a fault diagnosis topology model was established by constructing a topology search algorithm, which eliminated the filtering of association rules without topology relationship; the association rule-based data mining model was analyzed through the collection of network alarm data; the model algorithm was applied to the simulation experiment of network fault diagnosis of the embedded system and achieved good results. The results show that correcting rage of retrieval varies from 0.65 to 090 under different window sizes; the running time of the proposed method drops from 310 s to 35 s during 1-8 step/s of the sliding step, while the node degree ranges from 8 to 14 and diagnostic accuracy ranges from 0.97 to 0.94; the remaining alarm number increases from 0.5 to 3.5 threshold value, while the regular association number distributed in an interval of 40 to 140. The algorithm in this paper provides a reference for further research on network fault diagnosis of the embedded system.
    MeSH term(s) Algorithms ; Computer Simulation ; Data Mining ; Technology
    Language English
    Publishing date 2022-02-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/1868677
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Single-Atom Catalysis: Far beyond the Matter of Metal Dispersion.

    Zhang, Tao

    Nano letters

    2021  Volume 21, Issue 23, Page(s) 9835–9837

    MeSH term(s) Catalysis ; Metals
    Chemical Substances Metals
    Language English
    Publishing date 2021-11-22
    Publishing country United States
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.1c02681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The motive forces in DNA-enabled nanomachinery.

    Zhang, Tao / Liu, Huajie

    iScience

    2024  Volume 27, Issue 4, Page(s) 109453

    Abstract: Building machines that can augment or replace human efforts to accomplish complex tasks is one of central topics for humanity. Especially, nanomachines made of discrete numbers of molecular components can perform intended mechanical movements in a ... ...

    Abstract Building machines that can augment or replace human efforts to accomplish complex tasks is one of central topics for humanity. Especially, nanomachines made of discrete numbers of molecular components can perform intended mechanical movements in a predetermined manner. Utilizing free energies of Watson-Crick base pairing, different types of DNA nanomachines have been invented to operate intended stepwise or autonomous actions with external stimuli, and we here summarized the motive forces that drive DNA-based nanomachineries. DNA tweezers, DNA origami actuators, DNA walkers, and DNA machine-enabled bulk sensing are discussed including structural motif design, toehold creations for strands displacement reactions, and other input forces, as well as examples of biological motor-driven hybrid nanomachines. By addressing these prototypical artificial nanodevices, we envision future focuses should include developing various input energies, host cell-assisted structure self-replication, and nonequilibrium transportations.
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2024.109453
    Database MEDical Literature Analysis and Retrieval System OnLINE

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