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97961 - 97970 von 98187
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Artikel 97961 When dual contrastive learning meets disentangled features for unpaired image deraining
Enthalten in Machine vision and applications Bd. 34, 17.7.2023, Nr. 5, date:9.2023: 1-12
Online Ressource
Artikel 97962 When is it optimal for the event-triggered strategy in energy harvesting transmission
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2017, 14.11.2017, Nr. 1, date:12.2017: 1-13
Online Ressource
Artikel 97963 When Multi-Focus Image Fusion Networks Meet Traditional Edge-Preservation Technology
Enthalten in International journal of computer vision Bd. 131, 9.6.2023, Nr. 10, date:10.2023: 2529-2552
Online Ressource
Artikel 97964 When should I use network emulation?
Enthalten in Annals of telecommunications Bd. 67, 6.7.2011, Nr. 5-6, date:6.2012: 247-255
Online Ressource
Artikel 97965 Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Enthalten in npj digital medicine Bd. 5, 20.12.2022, Nr. 1, date:12.2022: 1-13
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Artikel 97966 Where should police forces target their residential burglary reduction efforts? Using official victimisation data to predict burglary incidences at the neighbourhood level
Enthalten in Crime Science Bd. 10, 5.6.2021, Nr. 1, date:12.2021: 1-11
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Artikel 97967 Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity
Enthalten in SN Computer Science Bd. 5, 27.4.2024, Nr. 5, date:6.2024: 1-20
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Artikel 97968 Which interventions contribute most to the net effect of England’s agri-environment schemes on pollination services?
Enthalten in Landscape ecology Bd. 38, 27.11.2022, Nr. 1, date:1.2023: 271-291
Online Ressource
Artikel 97969 WHICH SATELLITE IMAGE SHOULD BE USED FOR MAPPING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-1/W1-2023, 2023: 827-834. 8 S.
Online Ressource
Artikel 97970 Which scaling rule applies to large artificial neural networks
Enthalten in Neural computing & applications Bd. 33, 20.9.2021, Nr. 24, date:12.2021: 16847-16864
Online Ressource


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