Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization | Paper Citation Record

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This paper cites Bach and T.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Bach and T

Reference 1

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This paper cites Bicer and I.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Bicer and I

Reference 2

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This paper cites Capros, A.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Capros, A

Reference 3

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This paper cites Marine Environment Protection Commit- tee, Resolution, 2023.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Marine Environment Protection Commit- tee, Resolution, 2023

Reference 4

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This paper cites Soﬁev, J.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Soﬁev, J

Reference 5

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 7

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This paper cites Feenstra, J.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Feenstra, J

Reference 8

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This paper cites Luo and M.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Luo and M

Reference 9

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 10

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This paper cites Bayramoğlu.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Bayramoğlu

Reference 11

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 12

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This paper cites Decardi-Nelson, S.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Decardi-Nelson, S

Reference 13

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This paper cites Morari and L.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Morari and L

Reference 14

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 16

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 17

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This paper cites Zhang, R.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Zhang, R

Reference 18

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This paper cites Zhang, R.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Zhang, R

Reference 19

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 20

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This paper cites Panahi and S.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Panahi and S

Reference 21

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 22

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This paper cites Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System

Reference 23

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This paper cites Harun, T.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Harun, T

Reference 24

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 25

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 26

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 27

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This paper cites Ghosh, E.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Ghosh, E

Reference 28

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This paper cites Oliveira.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Oliveira

Reference 29

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 30

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 31

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 32

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This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 33

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This paper cites Ellis, H.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Ellis, H

Reference 34

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 35

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This paper cites Zhang, X.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Zhang, X

Reference 36

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 37

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 38

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This paper cites Zhang, K.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Zhang, K

Reference 39

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This paper cites Wen and U.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Wen and U

Reference 40

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This paper cites Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method

Reference 41

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This paper cites Wärtsilä, 2020.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Wärtsilä, 2020

Reference 42

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This paper cites Winnes and E.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Winnes and E

Reference 43

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 44

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 45

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 46

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This paper cites Jouhara, N.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Jouhara, N

Reference 47

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 48

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 49

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 51

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 52

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 53

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This paper cites Geankoplis.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Geankoplis

Reference 54

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Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 55

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Observation babd9fea-974f-4899-a72c-2d4e7dad3e13 · outbound

This paper cites Bebis and M.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Bebis and M

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.280286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d64cde6-98b2-48d2-8580-667869c3d08d · outbound

This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:52:57.266765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b09d1db2-100a-4fa1-a307-49c61dd2c322 · outbound

This paper cites Vatankhah and M.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Vatankhah and M

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.253264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dd37f3e-2d6f-4fe9-b40e-41db48f499a6 · outbound

This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:52:57.239429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c807f9ef-543b-4ec2-aa14-662e86699ad5 · outbound

This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:52:57.225572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9610f5b-d90d-4aba-aa4e-1a2a9c965800 · outbound

This paper cites Alsac, N.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Alsac, N

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.211519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 738aaca0-9ec8-4831-ad8c-0469f593738b · outbound

This paper cites Yin and J.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Yin and J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.197315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation edd974ff-d218-47ef-a50c-7de310144f12 · outbound

This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:52:57.183338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5b51229-5283-4c51-ae78-c314ff2b2ece · outbound

This paper cites Bharadhwaj, K.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Bharadhwaj, K

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.169250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 330b319f-8cf2-4a8c-b6f0-7403f6747986 · outbound

This paper cites Ben Salah, P.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Ben Salah, P

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.153694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0cfc620a-4aef-424c-aed2-11bd559c2c03 · outbound

This paper cites Faber, D.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Faber, D

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.138761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87b95c7d-dfb7-4638-83da-4da0b3441350 · outbound

This paper cites Pelić, O.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Pelić, O

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.124089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe401b8f-2025-4d06-8b14-4ab47d078dc6 · outbound

This paper cites Wächter and L.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Wächter and L

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.108796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b466bc48-4600-41db-9f12-45c2a35095df · outbound

This paper cites Version 9.12.0.2009381 (R2022a).

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Version 9.12.0.2009381 (R2022a)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:52:57.093624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7896396-85f9-4b6f-8916-e3bf12f7e56a · outbound

This paper cites an unresolved cited work.

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization Unresolved cited work

Reference 2013

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:52:57.991381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers