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[24] experimentally demonstrated that even if the preamble is affected by interference, the packet can still be decoded if the GW can correctly receive the last five symbols of the preamble
from the top result below
https://arxiv.org/html/2407.13076v1
Transmission Parameter Allocation in Multi-Gateway LoRa Networks
I INTRODUCTION
II RELATED WORK
III SYSTEM MODEL
III-A The Traffic Pattern of LoRa Networks
III-B Capture Effect and Quasi-Orthogonality between SFs
III-C Packet Delivery
https://arxiv.org/html/2608.03452v1
For morphological inflection, the standard learner is a neural sequence-to-sequence model trained to map forms and morphosyntactic tags to inflected forms
https://arxiv.org/list/cs.CV/new
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[2] arXiv:2608
https://arxiv.org/list/cs.NA/new
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New submissions (showing 18 of 18 entries)
[1] arXiv:2608
https://arxiv.org/html/2608.03089v1
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arXiv:2608
https://arxiv.org/html/2608.02668v1
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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/src/2405.20232
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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/src/1910.03771
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2608.02872
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https://arxiv.org/src/2608.04007
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2205.11916v2
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/pdf/2608.01934
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2410.05779
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https://arxiv.org/src/2608.04003
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https://arxiv.org/src/2608.04009
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2104.08691
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https://arxiv.org/pdf/2508.11152
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https://arxiv.org/src/2006.02924
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon
https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2212.07841
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