Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2364-1541
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing ; volume:5 ; number:4 ; day:15 ; month:9 ; year:2020 ; pages:375-390 ; date:12.2020
Data science and engineering ; 5, Heft 4 (15.9.2020), 375-390, 12.2020
- Creator
-
Li, Xiang
Zhao, Yan
Zhou, Xiaofang
Zheng, Kai
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s41019-020-00142-0
- URN
-
urn:nbn:de:101:1-2020113023065489595908
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Xiang
- Zhao, Yan
- Zhou, Xiaofang
- Zheng, Kai
- SpringerLink (Online service)
Other Objects (12)
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing
Substrate Protection in Controlled Enzymatic Transformation of Peptides and Proteins
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Synthesis and Modification of Bioactive Glass Nanoparticles for Biomedical Applications
Selbstheilung durch chinesische Medizin : Qi-gong, Akupressur, Ernährung
Sensitivity enhanced tunable plasmonic biosensor using two-dimensional twisted bilayer graphene superlattice
Editorial: Hybrids Part B: Hybrids for Drug Delivery
Editorial: Hybrids Part A: Hybrids for Tissue Regeneration
Sequence‐Selective Protection of Peptides from Proteolysis
Sequence‐Selective Protection of Peptides from Proteolysis
A simulation study on the relation between muscle motor unit numbers and the non-Gaussianity/non-linearity levels of surface electromyography
Alpha-lipoic acid upregulates the PPARγ/NRF2/GPX4 signal pathway to inhibit ferroptosis in the pathogenesis of unexplained recurrent pregnancy loss
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing
Substrate Protection in Controlled Enzymatic Transformation of Peptides and Proteins
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Synthesis and Modification of Bioactive Glass Nanoparticles for Biomedical Applications
Selbstheilung durch chinesische Medizin : Qi-gong, Akupressur, Ernährung
Sensitivity enhanced tunable plasmonic biosensor using two-dimensional twisted bilayer graphene superlattice
Editorial: Hybrids Part B: Hybrids for Drug Delivery
Editorial: Hybrids Part A: Hybrids for Tissue Regeneration
Sequence‐Selective Protection of Peptides from Proteolysis
Sequence‐Selective Protection of Peptides from Proteolysis
A simulation study on the relation between muscle motor unit numbers and the non-Gaussianity/non-linearity levels of surface electromyography
Alpha-lipoic acid upregulates the PPARγ/NRF2/GPX4 signal pathway to inhibit ferroptosis in the pathogenesis of unexplained recurrent pregnancy loss
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing
Substrate Protection in Controlled Enzymatic Transformation of Peptides and Proteins
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing
Synthesis and Modification of Bioactive Glass Nanoparticles for Biomedical Applications
Selbstheilung durch chinesische Medizin : Qi-gong, Akupressur, Ernährung
Sensitivity enhanced tunable plasmonic biosensor using two-dimensional twisted bilayer graphene superlattice
Editorial: Hybrids Part B: Hybrids for Drug Delivery
Editorial: Hybrids Part A: Hybrids for Tissue Regeneration
Sequence‐Selective Protection of Peptides from Proteolysis
Sequence‐Selective Protection of Peptides from Proteolysis
A simulation study on the relation between muscle motor unit numbers and the non-Gaussianity/non-linearity levels of surface electromyography