Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:30:11.096597Z
Paper Citation Record · LEDGER
Super-Resolution Generative Adversarial Networks based Video Enhancement
As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.10589.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3f294e3f-351c-4642-91f0-f1ddb7f85596 · outbound
This paper cites Photo-realistic sin- gle image super-resolution using a gener- ative adversarial network.
Super-Resolution Generative Adversarial Networks based Video Enhancement Photo-realistic sin- gle image super-resolution using a gener- ative adversarial network
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.809317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7eba4810-3158-418e-ab69-589826106916 · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.792630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation faa03265-6397-4214-8d1a-9150d563f156 · outbound
This paper cites Enhanc- ing space-time video super-resolution via spatial-temporal feature interaction, 2024.
Super-Resolution Generative Adversarial Networks based Video Enhancement Enhanc- ing space-time video super-resolution via spatial-temporal feature interaction, 2024
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.777667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6cd06c85-6093-4f4c-b3b4-ca9f3cbf4be5 · outbound
This paper cites Image super- resolution using deep convolutional net- works, 2015.
Super-Resolution Generative Adversarial Networks based Video Enhancement Image super- resolution using deep convolutional net- works, 2015
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.764614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 899417a6-4600-4cdb-aba1-d12f4501629f · outbound
This paper cites Non-local neural networks, 2018.
Super-Resolution Generative Adversarial Networks based Video Enhancement Non-local neural networks, 2018
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.752483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd8daae9-accf-4e56-a66c-206d52ad1ab6 · outbound
This paper cites Deep residual learning for image recognition, 2015.
Super-Resolution Generative Adversarial Networks based Video Enhancement Deep residual learning for image recognition, 2015
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.893844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cec67a67-6b5c-4408-95a7-59d40ef9ae68 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Super-Resolution Generative Adversarial Networks based Video Enhancement Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.898226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62875cdb-0476-4b87-9bd8-30b05e4072e4 · outbound
This paper cites Perceptual losses for real-time style transfer and super-resolution, 2016.
Super-Resolution Generative Adversarial Networks based Video Enhancement Perceptual losses for real-time style transfer and super-resolution, 2016
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.902905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1ed9647-a250-4618-8795-5c8d880b2785 · outbound
This paper cites Gradient variance loss for structure- enhanced image super-resolution, 2022.
Super-Resolution Generative Adversarial Networks based Video Enhancement Gradient variance loss for structure- enhanced image super-resolution, 2022
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.717008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4a11dcbb-d728-4bfd-9b9a-77987a12db76 · outbound
This paper cites Deep learning for sin- gle image super-resolution: A brief re- view.IEEE Transactions on Multimedia, 21(12):3106–3121, December 2019.
Super-Resolution Generative Adversarial Networks based Video Enhancement Deep learning for sin- gle image super-resolution: A brief re- view.IEEE Transactions on Multimedia, 21(12):3106–3121, December 2019
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.704463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 78a9035c-231c-4801-ab60-176a2df87e53 · outbound
This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde- Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.
Super-Resolution Generative Adversarial Networks based Video Enhancement Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde- Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.689373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb382528-9dfa-4e3a-b62d-2e09b0fb793a · outbound
This paper cites Generative adversarial networks for image super-resolution: A survey, 2024.
Super-Resolution Generative Adversarial Networks based Video Enhancement Generative adversarial networks for image super-resolution: A survey, 2024
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.920618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b383a5a-6953-48b2-92f0-523f970f238d · outbound
This paper cites Generative adversarialnetworksforsyntheticdatagen- eration: A comparative study, 12 2021.
Super-Resolution Generative Adversarial Networks based Video Enhancement Generative adversarialnetworksforsyntheticdatagen- eration: A comparative study, 12 2021
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.668705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ad1a4aa7-be65-4c29-9992-e09f3cced146 · outbound
This paper cites Laploss: Laplacianpyramid-basedmultiscalelossfor image translation, 2025.
Super-Resolution Generative Adversarial Networks based Video Enhancement Laploss: Laplacianpyramid-basedmultiscalelossfor image translation, 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.656171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58649b6a-ae96-4731-a4d3-842a5fd8bc16 · outbound
This paper cites Weinberger.
Super-Resolution Generative Adversarial Networks based Video Enhancement Weinberger
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.936417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f38f7efb-bf71-4e84-982b-9d3d6c2326c9 · outbound
This paper cites Esrgan: Enhanced super-resolution generative ad- versarial networks, 2018.
Super-Resolution Generative Adversarial Networks based Video Enhancement Esrgan: Enhanced super-resolution generative ad- versarial networks, 2018
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.634150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 19429b46-eb67-4f33-ba86-b02be32cfa51 · outbound
This paper cites Empirical evaluation of rectified ac- tivations in convolutional network, 2015.
Super-Resolution Generative Adversarial Networks based Video Enhancement Empirical evaluation of rectified ac- tivations in convolutional network, 2015
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.621257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 29a66de5-28df-4f56-ad14-57b7e3c2f7ba · outbound
This paper cites Residual network improves the prediction accuracy of genomic selection.Animal Ge- netics, 55:n/a–n/a, 05 2024.
Super-Resolution Generative Adversarial Networks based Video Enhancement Residual network improves the prediction accuracy of genomic selection.Animal Ge- netics, 55:n/a–n/a, 05 2024
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.609084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 348b0703-d2a7-4899-8bb8-ab7b10061790 · outbound
This paper cites Uni- fying nonlocal blocks for neural networks, 2021.
Super-Resolution Generative Adversarial Networks based Video Enhancement Uni- fying nonlocal blocks for neural networks, 2021
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.596015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c58319c0-45e7-4180-ab77-48717fa7d154 · outbound
This paper cites Efros, Eli Shechtman, and Oliver Wang.
Super-Resolution Generative Adversarial Networks based Video Enhancement Efros, Eli Shechtman, and Oliver Wang
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.583538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f1819b19-50ea-4ac5-8a77-0c155fc60d73 · outbound
This paper cites Understanding ssim, 2020.
Super-Resolution Generative Adversarial Networks based Video Enhancement Understanding ssim, 2020
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.567951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4062ac9-afb2-44e7-b990-21cce4dc71e9 · outbound
This paper cites Bvi- dvc: A training database for deep video compression.IEEE Transactions on Mul- timedia, 24:3847–3858, 2021.
Super-Resolution Generative Adversarial Networks based Video Enhancement Bvi- dvc: A training database for deep video compression.IEEE Transactions on Mul- timedia, 24:3847–3858, 2021
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.551509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4151b9d0-0f45-4410-afb0-0104de3fc119 · outbound
This paper cites BVI-AOM: A New Training Dataset for Deep Video Compression Optimization.
Super-Resolution Generative Adversarial Networks based Video Enhancement BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:30:10.973951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1aac45d-3f1d-4fd9-8998-be340662f6f1 · outbound
This paper cites Deep learning tech- niques for super-resolution in video games, 2020.
Super-Resolution Generative Adversarial Networks based Video Enhancement Deep learning tech- niques for super-resolution in video games, 2020
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.538587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 746d2326-98b3-4130-9691-5f9955573c15 · outbound
This paper cites Extrapolation, interpola- tion, and smoothing of stationary time se- ries with engineering applications, 1949.
Super-Resolution Generative Adversarial Networks based Video Enhancement Extrapolation, interpola- tion, and smoothing of stationary time se- ries with engineering applications, 1949
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.525922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f9c5cb76-d627-4652-a818-ced0d2ad744a · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.510208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7fd86f6f-4df5-466c-8529-ad2b3e087bb6 · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.496918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b0c74444-822b-4cf7-a7bb-c0c40ea66797 · outbound
This paper cites Interpolation and sharpening forimageupsampling.
Super-Resolution Generative Adversarial Networks based Video Enhancement Interpolation and sharpening forimageupsampling
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.482033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8a97944b-211d-484c-9c83-b51cfada6389 · outbound
This paper cites Freeman, T.R.
Super-Resolution Generative Adversarial Networks based Video Enhancement Freeman, T.R
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.468386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f77c384-795f-4593-afc8-1f963ad4867e · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.456397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abebcb68-6bb2-41e5-aa99-c01d25584fd2 · outbound
This paper cites Yang, Wright J., Huang T.
Super-Resolution Generative Adversarial Networks based Video Enhancement Yang, Wright J., Huang T
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.442975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a0853139-b8e2-4258-9f1b-fcdfa6b586ac · outbound
This paper cites Y., and Xiong Y.
Super-Resolution Generative Adversarial Networks based Video Enhancement Y., and Xiong Y
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.424141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d063142f-cc41-4e0a-8456-df9127a83607 · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.410957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1663e633-a179-4a0b-9900-da4370f3607c · outbound
This paper cites Super- resolution from a single image, 2009.
Super-Resolution Generative Adversarial Networks based Video Enhancement Super- resolution from a single image, 2009
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.398552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ca9a55cb-9ba6-4d67-92c8-1a43b464fe81 · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.386511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b8083215-770b-47bb-8c0e-53bc971c8874 · outbound
This paper cites Kamrul Hasan, Shid- harthoRoy, Md.AshrafulAlam, EklasHos- sain, and Mohiuddin Ahmad.
Super-Resolution Generative Adversarial Networks based Video Enhancement Kamrul Hasan, Shid- harthoRoy, Md.AshrafulAlam, EklasHos- sain, and Mohiuddin Ahmad
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.372683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08fd4b01-f386-4693-9a71-c19217851ac0 · outbound
This paper cites U-net: Convolutional net- works for biomedical image segmentation, 2015.
Super-Resolution Generative Adversarial Networks based Video Enhancement U-net: Convolutional net- works for biomedical image segmentation, 2015
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.360006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c1a23a1-0b89-4385-9c1d-06f4e23218e2 · outbound
This paper cites A u-net based discriminator for generative adversarial networks, 06 2020.
Super-Resolution Generative Adversarial Networks based Video Enhancement A u-net based discriminator for generative adversarial networks, 06 2020
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.345785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ec9664ab-8d3e-4209-8f43-06436a8c8bb8 · outbound
This paper cites Frequency-domain data augmenta- tion of vibration data for fault diagno- sis using deep neural networks.
Super-Resolution Generative Adversarial Networks based Video Enhancement Frequency-domain data augmenta- tion of vibration data for fault diagno- sis using deep neural networks
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.330214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1cd6cd82-84a5-4e9b-88ad-4fe64d102259 · outbound
This paper cites Wavelet elm-ae based data augmentation and deep learning for efficient emotion recognition using eeg recordings.IEEE Access, 10:72171–72181, 2022.
Super-Resolution Generative Adversarial Networks based Video Enhancement Wavelet elm-ae based data augmentation and deep learning for efficient emotion recognition using eeg recordings.IEEE Access, 10:72171–72181, 2022
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.312521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8eaf8fbc-165c-4b7c-a1d0-14591c1d2879 · outbound
This paper cites Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy, 2020.
Super-Resolution Generative Adversarial Networks based Video Enhancement Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy, 2020
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.297573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d1ea3f64-691c-4aff-9978-67bcd091c030 · outbound
This paper cites Efficient blind super-resolution imaging via adaptive degradation-aware estimation.Knowledge- Based Systems, 297:111973, 2024.
Super-Resolution Generative Adversarial Networks based Video Enhancement Efficient blind super-resolution imaging via adaptive degradation-aware estimation.Knowledge- Based Systems, 297:111973, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.282388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1dcc48d-347a-4b35-969a-22971a575360 · outbound
This paper cites an unresolved cited work.
Super-Resolution Generative Adversarial Networks based Video Enhancement Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:30:11.262418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfa630c4-d111-470f-a67b-cfe5c5776bea · outbound
This paper cites Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan.
Super-Resolution Generative Adversarial Networks based Video Enhancement Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.241647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 910f4848-9409-4cbb-aec5-eae846ee7ab0 · outbound
This paper cites Ct-scan de- noising using a charbonnier loss genera- tive adversarial network.IEEE Access, 9:84093–84109, 2021.
Super-Resolution Generative Adversarial Networks based Video Enhancement Ct-scan de- noising using a charbonnier loss genera- tive adversarial network.IEEE Access, 9:84093–84109, 2021
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.221250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c806741a-9de6-4b01-92ac-700d4e558c21 · outbound
This paper cites Spa- tio temporal forest fire spread modeling us- ing cellular automata honey bee foraging and gis.Bulletin of Environment, Phar- macology and Life Sciences, 3:201–214, 12 2013.
Super-Resolution Generative Adversarial Networks based Video Enhancement Spa- tio temporal forest fire spread modeling us- ing cellular automata honey bee foraging and gis.Bulletin of Environment, Phar- macology and Life Sciences, 3:201–214, 12 2013
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.198441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1981d522-5099-43c9-88dc-de74d0667a17 · outbound
This paper cites Single image deblurring based on auxiliary sobel loss function.
Super-Resolution Generative Adversarial Networks based Video Enhancement Single image deblurring based on auxiliary sobel loss function
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.185149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2e0c2bc6-696e-4067-83a0-3cf7045d2727 · outbound
This paper cites Wavelet transforma- tions and its applications in digital image processing, 10 2023.
Super-Resolution Generative Adversarial Networks based Video Enhancement Wavelet transforma- tions and its applications in digital image processing, 10 2023
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.170633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52d421d3-cb35-4ca2-990d-1ae74d5e46bf · outbound
This paper cites Design of fir filters for fast multiscale directional filter banks.Interna- tional Journal of u- and e-Service, Science and Technology, 7, 10 2014.
Super-Resolution Generative Adversarial Networks based Video Enhancement Design of fir filters for fast multiscale directional filter banks.Interna- tional Journal of u- and e-Service, Science and Technology, 7, 10 2014
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:30:11.150672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.