GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Economics  (3)
Material
Publisher
Language
Years
Subjects(RVK)
  • Economics  (3)
RVK
  • 1
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-7-30), p. 1-9
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-7-30), p. 1-9
    Abstract: Based on the method of the abnormal network traffic classification system of the CNN network, the traffic is encrypted according to the split and capture strategy, which makes it difficult to find the most important value in the whole world. An unconventional network is proposed based on CNN. This method combines several substeps, such as image creation, image selection, sorting, and end-to-end structure, and automatic learning of indirect relations is detected from the required original input and output, and it is possible applicable globally. The ideology of the ideological and political courses and political system of these distance universities is aimed at ensuring the political direction of college students and ensuring a comprehensive understanding of socialism in order to effectively conduct higher education courses. The ideological and political courses of a certain college have different characteristics from other courses. The teaching system provides students with an independent learning environment. Students can use the courses, teaching materials, text, drawings, and video information provided by the system to deepen their understanding and application knowledge.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Production and Operations Management Vol. 31, No. 8 ( 2022-08), p. 3320-3336
    In: Production and Operations Management, Wiley, Vol. 31, No. 8 ( 2022-08), p. 3320-3336
    Abstract: Companies that provide a two‐sided platform for users to proactively seek a match face great challenges in increasing matching efficiency and ensuring match quality. This paper examines how information designs can be used to improve matching outcomes when users derive utility from a match's vertical attribute (i.e., quality) and its horizontal attribute (i.e., idiosyncratic fit). We consider a game‐theoretic model in which competing senders propose matching requests to competing receivers and users on the two sides are differentiated both horizontally and vertically. We first demonstrate that users' preference for the vertical attribute intensifies competition and hurts matching efficiency, and to avoid competition a sender may switch from a close receiver to a distant receiver even when the weight that he places on a match's horizontal closeness increases. Second, we examine four information designs in which one type of information from one side of the market is withheld. Designs that withhold either side's vertical information increase the number of matches, with the improvement from withholding receivers' information being greater. By contrast, designs that withhold either side's horizontal information can cause all requests to concentrate on one receiver and lead to the most severe match failure. Third, an increase in matching volume comes at the expense of certain users' welfare, as withholding one side's vertical information can hurt not only high‐quality users on both sides but also the low‐quality users on the opposite side. Although withholding one side's horizontal information may increase the matching volume under certain conditions, it can be Pareto dominated by a design that withholds one side's vertical information. Fourth, when strategic user pricing is involved, it not only redistributes user welfare but also corrects for matching distortion. Finally, in contrast to the result when strategic pricing is absent, when strategic pricing is present the platform withholding one side's vertical information can benefit all users on the opposite side, while withholding one side's horizontal information can benefit all users on the same side.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-10-11), p. 1-9
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-10-11), p. 1-9
    Abstract: RGB-IR cross-modality person re-identification (ReID) can be seen as a multicamera retrieval problem that aims to match pedestrian images captured by visible and infrared cameras. Most of the existing methods focus on reducing modality differences through feature representation learning. However, they ignore the huge difference in pixel space between the two modalities. Unlike these methods, we utilize the pixel and feature alignment network (PFANet) to reduce modal differences in pixel space while aligning features in feature space in this paper. Our model contains three components, including a feature extractor, a generator, and a joint discriminator. Like previous methods, the generator and the joint discriminator are used to generate high-quality cross-modality images; however, we make substantial improvements to the feature extraction module. Firstly, we fuse batch normalization and global attention (BNG) which can pay attention to channel information while conducting information interaction between channels and spaces. Secondly, to alleviate the modal difference in feature space, we propose the modal mitigation module (MMM). Then, by jointly training the entire model, our model is able to not only mitigate the cross-modality and intramodality variations but also learn identity-consistent features. Finally, extensive experimental results show that our model outperforms other methods. On the SYSU-MM01 dataset, our model achieves a rank-1 accuracy of 40.83 % and an mAP of 39.84 % .
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...