Spatiotemporal deep learning models for detection of rapid intensification in cyclones | Paper Citation Record

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This paper cites Peduzzi, B.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Peduzzi, B

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This paper cites Miyamoto, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Miyamoto, T

Reference 2

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This paper cites Kaplan, C.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kaplan, C

Reference 7

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This paper cites Molinari, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Molinari, D

Reference 8

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This paper cites Kaplan, M.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kaplan, M

Reference 9

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Reference 12

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Reference 14

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Reference 15

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This paper cites Hochreiter, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Hochreiter, J

Reference 16

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Reference 17

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This paper cites Varalakshmi, N.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Varalakshmi, N

Reference 18

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Observation 8c00b0c2-966c-4f7f-bbbb-a3513c0c8c41 · outbound

This paper cites Wimmers, C.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Wimmers, C

Reference 19

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This paper cites Maskey, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Maskey, R

Reference 20

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This paper cites Rajesh, V.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Rajesh, V

Reference 21

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Reference 22

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This paper cites Wei, Study on wind simulations using deep learning techniques during typhoons: a case study of northern taiwan, Atmosphere 10 (2019) 684.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Wei, Study on wind simulations using deep learning techniques during typhoons: a case study of northern taiwan, Atmosphere 10 (2019) 684

Reference 23

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Reference 24

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This paper cites Chandra, K.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, K

Reference 25

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Observation b45fd980-6613-40ef-a0f1-5d2753b7f080 · outbound

This paper cites Chandra, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, R

Reference 26

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This paper cites Zhang, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Zhang, R

Reference 27

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This paper cites Chandra, Y.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, Y

Reference 28

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This paper cites Chandra, Dynamic cyclone wind-intensity prediction using co- evolutionary multi-task learning, in: D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, Dynamic cyclone wind-intensity prediction using co- evolutionary multi-task learning, in: D

Reference 29

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This paper cites Kapoor, A.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kapoor, A

Reference 30

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Reference 31

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Reference 32

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Reference 33

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This paper cites Yang, C.-Y.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Yang, C.-Y

Reference 34

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This paper cites Chandra, K.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, K

Reference 35

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Observation c8a95aef-26c0-441a-8980-95fc1e624e2c · outbound

This paper cites Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks

Reference 36

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Reference 37

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This paper cites Torgo, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Torgo, R

Reference 38

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This paper cites Goodfellow, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Goodfellow, J

Reference 39

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 40

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This paper cites Galar, A.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Galar, A

Reference 41

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

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This paper cites Gosain, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Gosain, S

Reference 43

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 44

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 45

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 46

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 47

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 48

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 49

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 50

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 51

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 52

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 53

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Observation 9782cc36-ba0d-4b2f-a4de-71798ab368f5 · outbound

This paper cites Fern ´andez, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Fern ´andez, S

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:48.477397Z

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Observation 9e9cc606-5d5f-4c41-8699-617990ea0d70 · outbound

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:48.136060Z

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Observation 9ef2cacb-735a-468a-981d-aded3899c7f7 · outbound

This paper cites Ali-Gombe, E.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Ali-Gombe, E

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:47.826599Z

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Observation 4c1e9803-44ca-4871-b59f-7c81b5b2b942 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones BAGAN: Data Augmentation with Balancing GAN

Reference 57

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This paper cites SMOTified-GAN for class imbalanced pattern classification problems.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones SMOTified-GAN for class imbalanced pattern classification problems

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:34.634128Z

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Observation aedc4061-7dff-4173-bc72-985670481938 · outbound

This paper cites Creswell, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Creswell, T

Reference 59

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:46.986073Z

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:46.637905Z

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Observation 683210af-d485-456d-accc-692a88881387 · outbound

This paper cites Scott, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Scott, J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:46.486224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66b7d110-e0d1-4464-9d25-c7b8a4333a72 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:46.196380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c14f2da0-cdc0-4ada-b1b9-f0e94b8ccd54 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:45.883156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5fabd05-6755-4e45-b994-7e9327769c6b · outbound

This paper cites Murakami, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Murakami, T

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:45.616600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca4d21ce-4bf4-4bbf-b2fa-074f3ffed721 · outbound

This paper cites Tauvale, K.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Tauvale, K

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:45.433432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53e0083c-f0fc-44a2-b5b5-5bcd293a17ed · outbound

This paper cites Magee, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Magee, D

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:45.194776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89759ff6-deb8-48de-b36d-a99f2d55a479 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:44.934503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e2d9687-3129-4804-9b48-20f64f50a470 · outbound

This paper cites McInnes, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones McInnes, J

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:44.581501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b8a133e-94a7-4365-9c29-bd8ca576d0ce · outbound

This paper cites KOSTASCHUK, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones KOSTASCHUK, J

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:44.379751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30319894-0101-403b-8e10-eb462a9d1fee · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:44.046149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fd87dd4-b696-45af-8551-648a3d03d323 · outbound

This paper cites Madsen, F.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Madsen, F

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:43.721008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec865c2e-c2bb-4dce-969e-45221f9f95f3 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:43.402031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc769f67-9b3c-4d5a-bab0-23d89d557fac · outbound

This paper cites Alexander, A magnitude scale for cascading disasters, International journal of disaster risk reduction 30 (2018) 180–185.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Alexander, A magnitude scale for cascading disasters, International journal of disaster risk reduction 30 (2018) 180–185

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:43.208794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32f799a1-acdc-47a6-a304-cf17304761ac · outbound

This paper cites Munshi, A general linear model for trends in tropical cyclone activity, Available at SSRN 2630932 (2015).

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Munshi, A general linear model for trends in tropical cyclone activity, Available at SSRN 2630932 (2015)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:42.906153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 458d71e5-7475-4810-93f8-91203a2a6743 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:42.769095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11b12259-b4f0-433a-b866-c2fa3c50ea14 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:42.426049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 271af2c5-2de1-45dd-adac-33b58759ce49 · outbound

This paper cites LeCun, Y.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones LeCun, Y

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:42.175385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59ea927e-3d85-482c-b6f8-36fbaf335223 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:41.919038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe030d8d-99fb-4d4a-874c-4f0d45e7cfb4 · outbound

This paper cites Scher, Toward data-driven weather and climate forecasting: Approxi- mating a simple general circulation model with deep learning, Geophys- ical Research Letters 45 (2018) 12–616.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Scher, Toward data-driven weather and climate forecasting: Approxi- mating a simple general circulation model with deep learning, Geophys- ical Research Letters 45 (2018) 12–616

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:41.652900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f9346ca-57f6-4962-b167-c667374f429d · outbound

This paper cites Ardabili, A.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Ardabili, A

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:41.445673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d40058c7-a328-4c8a-9727-1645284813f1 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:41.283276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d25a7ef5-0545-47bb-b3f7-07208ecdfad3 · outbound

This paper cites Roscher, B.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Roscher, B

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:41.063362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ae24db9-fd47-48f0-8198-faf01b171f41 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:30.056141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc94ddbd-9e04-4741-b8ee-421d13cfd938 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:40.846175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61b88b24-3eca-45fc-8cbd-51c9ee4b0a79 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:40.694409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4536bd54-9e3c-401d-bbba-bfc8611c89af · outbound

This paper cites Bengio, P.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Bengio, P

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:40.434344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47279989-433e-40f6-b4a9-d36c7e01951d · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:40.147151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d185f73-cfcf-4b57-b833-a4861cabfed5 · outbound

This paper cites Learning Longer Memory in Recurrent Neural Networks.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Learning Longer Memory in Recurrent Neural Networks

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:34.384565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f7b281e-0a37-411b-a370-324d207dd9ab · outbound

This paper cites Van Houdt, C.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Van Houdt, C

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:39.906638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fba090e8-442b-45ad-a840-8f2b9eb1bbe9 · outbound

This paper cites Machine Learning for Spatiotemporal Sequence Forecasting: A Survey.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:30.909377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd10711-dee1-4750-9bfc-8010f1f702a5 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:39.612398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a89b053e-7de4-4461-827a-85933b418412 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:39.419260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56508381-804f-441d-861c-ffec0d202b5f · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:39.137813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 160fdc37-a24a-4813-966b-587c2d0ac34e · outbound

This paper cites Agrawal, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Agrawal, D

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:38.920847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a7d23e9-640e-4d43-a26e-d9304e9d0cce · outbound

This paper cites Chandra, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, S

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:38.696205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d7ef4c9-ca0c-4aac-85ce-a7df5f3c37cf · outbound

This paper cites Shorten, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Shorten, T

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:38.469401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1272288d-84c7-427d-ba9f-6f4ca5201f4c · outbound

This paper cites Shorten, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Shorten, T

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:38.147860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ce23236-dd3d-4cf4-a6db-e0d28d98a2db · outbound

This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Time Series Data Augmentation for Deep Learning: A Survey

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:31.849965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ba64c9-05a0-4e0b-818b-3f1c97433a99 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Adam: A Method for Stochastic Optimization

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:31.992918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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