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Paper Citation Record · LEDGER

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2412.03055.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03055 v3

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:53:15.134362Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d0f3afc-2608-4fac-a3fd-46fb7488213a · outbound

This paper cites A comprehensive survey on internet of things (iot) toward 5g wireless systems,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration A comprehensive survey on internet of things (iot) toward 5g wireless systems,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b1b83726-26b8-4eaf-a5e0-3f704436e31c · outbound

This paper cites A survey on the convergence of edge computing and ai for uavs: Opportunities and challenges,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration A survey on the convergence of edge computing and ai for uavs: Opportunities and challenges,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 14de5cbb-0217-415c-b828-2392c8a8116a · outbound

This paper cites Yolo-ant: A lightweight detector via depthwise separable convolutional and large kernel design for antenna interference source detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Yolo-ant: A lightweight detector via depthwise separable convolutional and large kernel design for antenna interference source detection,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 65f824aa-cd09-4f82-b8a8-608921dcb026 · outbound

This paper cites A new method for locating radio interference sources,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration A new method for locating radio interference sources,

Reference 4

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raw_fallback, observed 2026-08-11T22:53:16.156619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.836198Z digest=sha256:bae4e266ab8c370fb48d42b5aec68f9e053174d4587e16c52004e4242019b1ee

Observation 3d31165b-e166-43cc-805a-89a739f2fa4e · outbound

This paper cites Joint front–edge–cloud iovt analytics: Resource-effective design and schedul- ing,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Joint front–edge–cloud iovt analytics: Resource-effective design and schedul- ing,

Reference 5

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raw_fallback, observed 2026-08-11T22:53:16.142450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.840903Z digest=sha256:85557f4b7eba8432614c819a160c35d06d141e0b1be1f1b07b868394cfe415ad

Observation d1f1cd54-cbcf-4058-97ea-469a4ecf7452 · outbound

This paper cites The convergence and inter- play of edge, fog, and cloud in the ai-driven internet of things (iot),.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration The convergence and inter- play of edge, fog, and cloud in the ai-driven internet of things (iot),

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:16.127547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.845508Z digest=sha256:c8d8cccb9ab63e8621b705a985ca3c64b50c75d94bc0a84a16dca3da976d4bcb

Observation a3b3421f-f092-47b3-afd5-7e295f379c54 · outbound

This paper cites Fog and iot: An overview of research opportunities,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Fog and iot: An overview of research opportunities,

Reference 7

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raw_fallback, observed 2026-08-11T22:53:16.112118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.850986Z digest=sha256:dbcbba4cffc6a0f050a78baddcb33c314250f4dc6026d77b6e476f0dc9f7e0dd

Observation ce51c6db-bdc4-4355-8d7a-97d97112aa86 · outbound

This paper cites Mobile edge computing: A survey,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Mobile edge computing: A survey,

Reference 8

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unresolved
no resolver link, observed 2026-08-11T22:53:14.855469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:14.855469Z digest=sha256:64de7d6dc3d38e738ce78aaa29719d586ad61d6189e3e44f8dbde43fe7e1181d

Observation 8741fce2-25d2-4bf6-9387-47ec76032304 · outbound

This paper cites Ai for uav-assisted iot applications: A comprehensive review,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Ai for uav-assisted iot applications: A comprehensive review,

Reference 9

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raw_fallback, observed 2026-08-11T22:53:16.086738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.859954Z digest=sha256:c6d989f064a2cd66967a6099f975e275c3f9159a86c092f1ef4b6711999fff0f

Observation 58d24822-d5e0-4589-a282-93343ed29061 · outbound

This paper cites Mr-dro: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Mr-dro: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments,

Reference 10

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raw_fallback, observed 2026-08-11T22:53:16.072609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.864383Z digest=sha256:9bd8b4dce93b361a0cc8e7c21bf91b1ea114a0eba0100b957bddd28f0695abd8

Observation 1704ae9c-6b19-4474-b33a-bf75922d5bfa · outbound

This paper cites You only look once: Unified, real-time object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration You only look once: Unified, real-time object detection,

Reference 11

Resolution
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raw_fallback, observed 2026-08-11T22:53:16.058337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.868767Z digest=sha256:bc2ae611e269493b9d6f9eae3e3412eef5ff3dcbb3332eab729e5994c03a306a

Observation 9efec185-fdcc-42db-b7a4-0cf909d44906 · outbound

This paper cites Multi- uav-enabled load-balance mobile-edge computing for iot networks,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Multi- uav-enabled load-balance mobile-edge computing for iot networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:16.044215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.873412Z digest=sha256:5835b2ed077a909b03bad503febc3ad84d0bd23c319054aec801ef97d961f7be

Observation 6d01dff3-7f9a-43de-8d9f-8cd7c29860d8 · outbound

This paper cites E3-uav: An edge-based energy- efficient object detection system for unmanned aerial vehicles,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration E3-uav: An edge-based energy- efficient object detection system for unmanned aerial vehicles,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:16.030292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.877642Z digest=sha256:bb843cb08b5b08fdde56eacdc7e95320d16eb583f5e4ba5dc1285d3a4fdb24cb

Observation 757c1fb4-c319-4a3c-9f31-8f3ff36b0ae5 · outbound

This paper cites Hybrid motion model for multiple object tracking in mobile devices,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Hybrid motion model for multiple object tracking in mobile devices,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:16.015839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.882352Z digest=sha256:16c54e8999067fc4f3b477264fd48f72306ec0a231b4dd5f76fbe93d7a774cae

Observation cb598992-4f96-44f1-8f49-e3dd7eae041f · outbound

This paper cites Delving into the trajectory long-tail distribution for muti-object tracking,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Delving into the trajectory long-tail distribution for muti-object tracking,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:16.001684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.886872Z digest=sha256:f9a6f3facdf46d8d25693b5d94dd55eb3b706d0ce608b019ad7f93b46f552fd0

Observation ec96760d-e9fc-4503-87d0-d356090ee498 · outbound

This paper cites Flow-guided feature aggregation for video object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Flow-guided feature aggregation for video object detection,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.987377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.891305Z digest=sha256:8e9b09c79f68f7fe26e3304f556b38d84acb746457c837165e517f32f1964331

Observation bfbcff97-275c-40cc-bf29-1da7d09205ee · outbound

This paper cites Memory enhanced global-local aggregation for video object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Memory enhanced global-local aggregation for video object detection,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.895719Z digest=sha256:1ec09043a88e96fa3c07a6324e51ded5601a718b0b45b87d952b53414a539485

Observation 829c5762-c5c0-4a87-a5ac-8fde730f8dcb · outbound

This paper cites Light-yolov5: A lightweight drone detector for resource-constrained cameras,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Light-yolov5: A lightweight drone detector for resource-constrained cameras,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.957102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.899775Z digest=sha256:58d419c1e930ade4ff27c5ff1574987e3e0a24cfb13e711fd15dd649f9dbbafb

Observation c29a254d-8a93-4991-b537-cd828c3969ce · outbound

This paper cites Deep feature flow for video recognition,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Deep feature flow for video recognition,

Reference 19

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raw_fallback, observed 2026-08-11T22:53:15.942033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.903731Z digest=sha256:e9fe07f894d990b912e97918d27ae4215f32769681baa3c93fedcbffa9ecf753

Observation 7f156071-79d5-4686-a4ea-96f34331fab7 · outbound

This paper cites Empowering things with intelligence: A survey of the progress, challenges, and opportunities in artificial intelligence of things,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Empowering things with intelligence: A survey of the progress, challenges, and opportunities in artificial intelligence of things,

Reference 20

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raw_fallback, observed 2026-08-11T22:53:15.927198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.908017Z digest=sha256:c5d063807d6389398076cd8acfcf2640a87cc036e3390fac67ccbd4b87051715

Observation 24596402-ef9f-44a2-85be-39490ad2f2b8 · outbound

This paper cites Toward efficient fire detection in iot environment: A modified attention network and large-scale data set,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Toward efficient fire detection in iot environment: A modified attention network and large-scale data set,

Reference 21

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raw_fallback, observed 2026-08-11T22:53:15.911461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.911902Z digest=sha256:2ff657a199ed1832857b0f7568a9f9868cedd75cec87b5ec74473f3d68f7292e

Observation 95d2b5e0-ea46-47f5-82a4-4e1d4dce655a · outbound

This paper cites An effec- tive lightweight crowd counting method based on an encoder–decoder network for internet of video things,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration An effec- tive lightweight crowd counting method based on an encoder–decoder network for internet of video things,

Reference 22

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.894356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.915744Z digest=sha256:ae65f11c65946b93efcd280a05c8a3a400cb1b2cf4700bde80234e866e6f9a64

Observation cb1edfb6-10a1-48b3-b4f6-9d2ee8ddda4d · outbound

This paper cites Lightweight lae for anomaly detection with sound-based architecture in smart poultry farm,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Lightweight lae for anomaly detection with sound-based architecture in smart poultry farm,

Reference 23

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.878657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.919674Z digest=sha256:c4e95f819418d803aaf07ee58657fb1d49459b2ff9011fa55daf5079de4a98fe

Observation 86191005-2335-4217-a0ab-1b9b6f03bb38 · outbound

This paper cites Attention to task-aligned object detection for end–edge–cloud video surveillance,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Attention to task-aligned object detection for end–edge–cloud video surveillance,

Reference 24

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.864784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.923374Z digest=sha256:241591c5fc4371c9df36c28dd675bb3c4dfd270745bef3e9f7c386308528f1e7

Observation d13740b4-b030-45fa-90af-c13142f2766b · outbound

This paper cites Ec²detect: Real- time online video object detection in edge-cloud collaborative iot,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Ec²detect: Real- time online video object detection in edge-cloud collaborative iot,

Reference 25

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.850172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.927414Z digest=sha256:dc23f673b3f02a1481092da71e00627338684e9d79ad602c0db503b90cccd76d

Observation fbdccd70-c700-4356-9d15-4c12026ea4c7 · outbound

This paper cites Internet of things (iot) and agricultural unmanned aerial vehicles (uavs) in smart farming: A comprehensive review,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Internet of things (iot) and agricultural unmanned aerial vehicles (uavs) in smart farming: A comprehensive review,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.835573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.931413Z digest=sha256:4bc4a5fd914de742cb683253c7c94627131795461e2734f3794e77dcf19f5982

Observation cb1f238c-e286-40de-acf9-37dfa2494ac2 · outbound

This paper cites Adaptive sparse convolutional networks with global context enhancement for faster object detection on drone images,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Adaptive sparse convolutional networks with global context enhancement for faster object detection on drone images,

Reference 27

Resolution
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no resolver link, observed 2026-08-11T22:53:14.935413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:14.935413Z digest=sha256:4fda83aa68b3274e67da2550694a3b93cb2dc117b38248d244697bb21c5036db

Observation d7a079a8-a0f1-4ff8-9354-a17f0fdce07f · outbound

This paper cites Drone-yolo: An efficient neural network method for target detection in drone images,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Drone-yolo: An efficient neural network method for target detection in drone images,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.811066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.939441Z digest=sha256:c998f0ce88a998b7a48ae94d7ef1d46b1a17d694baf54a7a0e2cd55182588f30

Observation 3245d321-d319-4bf9-a771-fbfa0a7d284e · outbound

This paper cites A modified yolov8 detection network for uav aerial image recognition,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration A modified yolov8 detection network for uav aerial image recognition,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.796581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.943166Z digest=sha256:dd3f7e8d49bd44677503d7937459cd591853afc5a21824a57f42d963ec89c65d

Observation 965bbfe8-9799-4a8e-a38f-f46e4c8db421 · outbound

This paper cites Adaptive feature fusion and improved attention mechanism-based small object detection for uav target tracking,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Adaptive feature fusion and improved attention mechanism-based small object detection for uav target tracking,

Reference 30

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.782687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.946929Z digest=sha256:96b810652813b51622f3ec03decabdecbf6250f4bef653e4c4c89c00d36a72f8

Observation 9be3158e-6d62-416d-b8f9-d7c354316420 · outbound

This paper cites Split-and-shuffle detector for real-time traffic object detection in aerial image,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Split-and-shuffle detector for real-time traffic object detection in aerial image,

Reference 31

Resolution
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raw_fallback, observed 2026-08-11T22:53:15.768107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.950696Z digest=sha256:09a29609a4b79c46a8d5241ca8dc5acd31dddfb8ee0d7f071624eb7c0c4ad493

Observation c69d5ab0-32f1-43aa-b48c-ee15ce378bc4 · outbound

This paper cites Sac-rsm: A high- performance uav-side road surveillance model based on super-resolution assisted learning,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Sac-rsm: A high- performance uav-side road surveillance model based on super-resolution assisted learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.753842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.954432Z digest=sha256:d7f4cfa05fdf8d9a190ab8f0e67353f0ce09a9e16d5d90745ffc43dad448be14

Observation 1a203fff-e472-4b65-a346-80fd1c72bbfa · outbound

This paper cites Lwuavdet: A lightweight uav object detection network on edge devices,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Lwuavdet: A lightweight uav object detection network on edge devices,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.737897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.958571Z digest=sha256:20f7ac743afcbf915aa59d2633b7caf6845f5ee7322c9c716c9af8dfb3769bba

Observation eba317b0-5c32-42c9-b6b8-49ec7d34792a · outbound

This paper cites Anchor-free multi-uav detection and classification using spectrogram,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Anchor-free multi-uav detection and classification using spectrogram,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.723235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.962716Z digest=sha256:88a45e82efd588f7e77a656a42acc4726ebbe8dc555d8eda2de3ad7da87c8b2c

Observation 823d5123-0bcd-488f-9e93-10baf7c5fc65 · outbound

This paper cites Intelligent mobile drone system based on real-time object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Intelligent mobile drone system based on real-time object detection,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.707878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.967160Z digest=sha256:a1899e8442baea2f5a93ca35dcb61c01ee9baff4afd489a255056afa3b125575

Observation 68dd9e07-554d-4dff-8664-4c8d500ab20f · outbound

This paper cites Small insulator defects detection based on multiscale feature interaction transformer for uav-assisted power iovt,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Small insulator defects detection based on multiscale feature interaction transformer for uav-assisted power iovt,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.690410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.972241Z digest=sha256:ee284e65d8cc0e15ced2a23048ef2899b0b5c88e12947029f25e0a63335b53a3

Observation 8fd3f014-b2aa-493f-9ec1-6d37161ef0e1 · outbound

This paper cites Learning to aggregate multi-scale context for instance segmentation in remote sensing images,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Learning to aggregate multi-scale context for instance segmentation in remote sensing images,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.675321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.976774Z digest=sha256:cecb7815240b5eab1aa48083ffe4493a66f6b8870842c4096e0ad4838558285c

Observation d58831d2-6bce-47f5-9221-9449cf572767 · outbound

This paper cites A path planning method for sweep coverage with multiple uavs,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration A path planning method for sweep coverage with multiple uavs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.661380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.981701Z digest=sha256:eb19fddcfbe4dc794387e1c93641ebef39def1a414f115d42c1edb3859edc4b1

Observation 8b6a9fc1-f27c-46e0-990c-d46214a92119 · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration DETRs Beat YOLOs on Real-time Object Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:14.986730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:14.986730Z digest=sha256:e51c362c94ad4e6069f935c6aeca71f0dd2db7de8565bda70866716f01ff7ec1

Observation fbc57f8b-d892-438b-81c1-562698ce1d64 · outbound

This paper cites Path aggregation network for instance segmentation,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Path aggregation network for instance segmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.647098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.992333Z digest=sha256:6129ffcdb731b1099243139c2ddbfe7cc187c37682820b16ddddd0aab546d297

Observation d9e50db5-8140-4de6-8989-4666c35be55d · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Efficientdet: Scalable and efficient object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.633313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:14.996905Z digest=sha256:4b06021c98e886886d0672bba20a943a908703a3752e0afc52469845a7b2e6d6

Observation 879d4e5a-bad6-4e0c-aa39-91ae7a44d615 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Xception: Deep learning with depthwise separable convolu- tions,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.001708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.001708Z digest=sha256:aa0dc7968916e8844bb373ec703bce84f86f2ef3d6c3bfc5465e15be91b9c910

Observation 93b25db4-8d2c-4f54-b924-56f98f121655 · outbound

This paper cites Ghostnet: More features from cheap operations,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Ghostnet: More features from cheap operations,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.006429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.006429Z digest=sha256:4b4ba5489436f165e188222a90f31a07d1eca609f1bb2c084ae4112a9503181b

Observation dc5ccc08-6570-403e-ad8c-92c8be90f8ce · outbound

This paper cites Feature pyramid networks for object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Feature pyramid networks for object detection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.600131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.011624Z digest=sha256:ec5a1a83aa061a799bfa468301c17783b4ef0fb201876c45db31cbbec46b0ed6

Observation 4505fbb7-7601-4601-b997-a30ec81ca21f · outbound

This paper cites Hetconv: Hetero- geneous kernel-based convolutions for deep cnns,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Hetconv: Hetero- geneous kernel-based convolutions for deep cnns,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.584211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.016421Z digest=sha256:1c5b154c3a9f0ef294ac076ee32c0b9d27a70427180f020034a7cb93df29290d

Observation 89161f14-5f0f-4f60-ae94-82565ea8d001 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Spatial pyramid pooling in deep convolutional networks for visual recognition,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.021286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.021286Z digest=sha256:0d3d178c94a4d2ac3c52e7c74e9209570e22cdfb95374cbe90046e83a875ffa5

Observation a9c98286-04ef-4d7d-97e6-bf0d9081445b · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient information,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Yolov9: Learning what you want to learn using programmable gradient information,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.560205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.026059Z digest=sha256:c3ec81f5a9c5fbe4905d6e8fbb65be5c559ffd81d8c4d2db5af60fc5f861751a

Observation d60d5a2c-639f-4da6-a701-016bae5aa0f5 · outbound

This paper cites Yolov10: Real-time end-to-end object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Yolov10: Real-time end-to-end object detection,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.031089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.031089Z digest=sha256:a9cc7c7667d8b6625d2a3996615625809b489e9116a87d768853a5e324c7b138

Observation 3e8b36d6-9669-4aa0-858a-20d6205f9eaa · outbound

This paper cites Large selective kernel network for remote sensing object detection,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Large selective kernel network for remote sensing object detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.534752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.036112Z digest=sha256:fabdedbdc7c227389d5f6b740e2ba7d97768ad1bed6fd2eb685e880afdd5bd94

Observation 1a09ee2c-1b9a-4b3a-b564-492ad0d19838 · outbound

This paper cites Dwrseg: Rethinking efficient acquisition of multi-scale contextual information for real-time semantic segmentation,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Dwrseg: Rethinking efficient acquisition of multi-scale contextual information for real-time semantic segmentation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.519136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.040872Z digest=sha256:0f1cf404dcd09236a4c8abb112de0a2d6cc19b851c5e9a1113b05988933120f0

Observation 6032bc2f-1183-4441-b472-9a11ee7ff5da · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.045536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.045536Z digest=sha256:57f5acac0d92e97bef504b8652bf9325bbb3266ad4dc3cf99c46b8f71f871d8c

Observation 1c2d186d-cdfd-4c1a-84ce-02baa7f506d6 · outbound

This paper cites Research on antenna detection technology of communi- cation base station based on computer vision,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Research on antenna detection technology of communi- cation base station based on computer vision,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.503789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.050755Z digest=sha256:f853a538cede47ee1bfff5e8bf5a9f1cf49f9ccfc52f9cc617e73d2f3f3e70c1

Observation 6e0e98b2-6aeb-4b59-80e8-ed8c0a700e80 · outbound

This paper cites Microsoft coco: Common objects in context,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Microsoft coco: Common objects in context,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.488450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.055431Z digest=sha256:ec498198d26946cb1b5db679b28c7c03d5f355363e6e576ab021eb2f605f66bd

Observation 5c55ed95-15a4-4fff-a7cb-4fd47737ffbb · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Cspnet: A new backbone that can enhance learning capability of cnn,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.471110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.060247Z digest=sha256:0c2f570d03cfe29f25a335106d804e99ff5d64ebc95dd5d1a6039894168d6f6c

Observation 373ec0b0-04d3-47de-9a2e-3bab1a28f344 · outbound

This paper cites Searching for mobilenetv3,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Searching for mobilenetv3,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.455711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.064951Z digest=sha256:f717c48dce1b0396ef4d68598b6d093acae250feaa2e788dfc4e3108246c57f0

Observation 107ad941-22d3-4147-be60-1b095c85bf45 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.440348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.068804Z digest=sha256:dff280ace7ecf9fcdb1f20717085b64b9c94bafd31a1370a6bc6e709e95ef016

Observation 011f68ac-2fc1-43f6-842c-3f3f5fa80444 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.424682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.072852Z digest=sha256:c1023268a77f08ed3f7e82f10d703387bc1b3738b0962999c43de0e24c0bfe81

Observation 5b122659-3632-48e8-bc17-c4cc757ed831 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Repvit: Revisiting mobile cnn from vit perspective,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.410021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.076774Z digest=sha256:badce245d25878ef5402af6722397d83fc1a781d79fa99832ab4bfd8c3fef13e

Observation 47c21e7f-5680-4dc8-9d32-39bf76d806f6 · outbound

This paper cites Deep residual learning for image recognition,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Deep residual learning for image recognition,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.080756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.080756Z digest=sha256:10398f3bab2f62faf0384f129ad1dd06ca6fcf6d827bf2e2478695ec32cbedd3

Observation b9785fc5-71db-489b-a0fe-7a0441ae1747 · outbound

This paper cites Slim-neck by gsconv: a lightweight-design for real-time detector architectures,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Slim-neck by gsconv: a lightweight-design for real-time detector architectures,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.380519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.084838Z digest=sha256:5df0c35df0d5d116ca17210e47d49128333fac192c160539c6d0fa124f6e9517

Observation 8fb46a26-5426-4040-ad60-5d2fc8babc0e · outbound

This paper cites Accurate leukocyte detection based on deformable-detr and multi-level feature fusion for aiding diagnosis of blood diseases,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Accurate leukocyte detection based on deformable-detr and multi-level feature fusion for aiding diagnosis of blood diseases,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.367133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.088991Z digest=sha256:57eb0fd1c2c159520b2b192e52271f87419cc82da09a17fa56e8bcca797c4204

Observation 0f155b33-92a8-4042-a6a5-319af110e1af · outbound

This paper cites Damo-yolo : A report on real-time object detection design,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Damo-yolo : A report on real-time object detection design,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.352723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.093149Z digest=sha256:63a49b6d77797dcab61f98b0c9efdb20fc30b3cf975c05c03b6f25d86a0f4a59

Observation afe69662-64e6-492b-9da3-3cac395d6a6e · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.097488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.097488Z digest=sha256:d1f8248ff57a6723d997f2bffeceebf504c19d4e90bbec41e9ccbb1a0e21d3ae

Observation 717d82d3-b154-404c-9990-ded39dc9256c · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration YOLOX: Exceeding YOLO Series in 2021

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.102053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.102053Z digest=sha256:08dbc3404451bb5f940898dd7142536709aa1b9484f8ebe789bb7aa2a5f07a55

Observation 4c1d4143-9591-4620-bb61-3fe283ba6766 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration YOLOv3: An Incremental Improvement

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.106529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.106529Z digest=sha256:8e5ca4eac5e6dfe0cb82c6f97e5c4e831e415089d2acc252625736e522d005ee

Observation daf68c76-3499-4bb0-864f-6ce7b7827a0d · outbound

This paper cites Yolov6: A single-stage object detection framework for industrial applications,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Yolov6: A single-stage object detection framework for industrial applications,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.336049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.111102Z digest=sha256:2b00f794a42426a24dedd5cffca552a9b0a7a34b1885786bf34d093533789181

Observation 350a9ea4-c4b6-4cfe-bd90-81c3ede01869 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.320306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.115138Z digest=sha256:9de87c9d26e0f0c1cbb4e443fd36b73e99786ba572162ee3199450011011d446

Observation 2e8a6262-1a84-483d-8d54-52c73156b7f4 · outbound

This paper cites Pp-yoloe: An evolved version of yolo,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Pp-yoloe: An evolved version of yolo,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.303792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.119537Z digest=sha256:2c7b1d8a979aa48e7aad30f63b548d8ec60898956ebb1d26cc5d99f6d60a9863

Observation d0ec34ae-736e-46fa-b40e-2c049f8ac689 · outbound

This paper cites Ssd: Single shot multibox detector,.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration Ssd: Single shot multibox detector,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.287483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.123839Z digest=sha256:965e4d28da8115fdfec34f40ec81c8f86e2497bb55b99a449e8e4b77d44261c4

Observation 14b856c4-2b30-469d-bac0-6c5540b05be0 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:15.128082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:15.128082Z digest=sha256:4f28f59fe55ce6f3528f920c78b576747766377a1233ff73977a1b468ad73621

Observation 2388f6fa-5207-492c-b17c-8ddf63e70a8e · outbound

This paper cites His research interests include statistical signal processing, Bayesian estimation theory, and fault detection and diagnosis.

Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration His research interests include statistical signal processing, Bayesian estimation theory, and fault detection and diagnosis

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:15.271359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:53:15.134362Z digest=sha256:76836e1297e63f354e0324d2498e8dffae8316120f975e3fd1fd23c41c8b80aa

Pith citing papers

No inbound Pith citation observations are available.