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Paper Citation Record · LEDGER

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

As of 11 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2607.18515.

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

pith.paper-citation-record.v1
2607.18515 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:16:47.590774Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

100 of 107 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 894c2faa-b871-402c-82eb-b05a81b681e1 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-01T15:16:36.467792Z digest=sha256:744256030bd61707705b24ec834be69372ca1350b3c63e9739b3b504805848ef

Observation 41b3da6b-46cd-4952-a688-1824d6ba16e7 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-01T15:16:36.574155Z digest=sha256:253bd38fa950169d1d2caf00cbf1a29de13c7b928ad06d957863a0c86e425400

Observation a897c634-c6d1-4857-b174-f6e9abfc7292 · outbound

This paper cites Quasimonotonicity, regularity and duality for nonlinear systems of partial differential equations.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Quasimonotonicity, regularity and duality for nonlinear systems of partial differential equations

Reference 3

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source=arxiv_source observed=2026-08-01T15:16:36.692688Z digest=sha256:d179706016ccac4568a3d4743f61e976cb936ec8b2d5ccf9ebc5c66e0e76370f

Observation 956ab3e3-4639-424a-a076-69142eb20032 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-01T15:16:36.755169Z digest=sha256:464429a0cf5d52740a7788e5c40a6a092d8df528d78d335a6d91942afa145231

Observation c80840f4-da75-4e68-8aa8-7d1597a9eb4d · outbound

This paper cites Software engineering---from auxiliary to key technologies.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Software engineering---from auxiliary to key technologies

Reference 5

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source=arxiv_source observed=2026-08-01T15:16:36.816863Z digest=sha256:d61fbd2baa77089bc7c54ff17f4ddd83fe51c2d7825c2b21e16155e93ea4f1d4

Observation b7022618-53d8-4728-89f5-a84cc51dd50e · outbound

This paper cites Applied Sciences , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Applied Sciences , volume=

Reference 6

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source=arxiv_source observed=2026-08-01T15:16:36.885427Z digest=sha256:fa0b913f03a66ee191e47f1882f2a0671a1a5c6fbafa2221421a86d6df462c14

Observation b9428a73-61aa-4ec0-b192-7e7b48b4f6ed · outbound

This paper cites A Review , author=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling A Review , author=

Reference 7

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source=arxiv_source observed=2026-08-01T15:16:36.947699Z digest=sha256:64e534bcf4e57c8ed619ce7f1517c72fd29433a3c25ba6477e6bfcbb61de8a94

Observation 60c91c50-a11e-41c1-8a98-745e81a7e4fe · outbound

This paper cites Journal of Composite Materials , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Composite Materials , pages=

Reference 8

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source=arxiv_source observed=2026-08-01T15:16:37.031665Z digest=sha256:dc8c6b86be773637e36cd7acdbd878970df99c04ae928e0fcfe0b97da3f18410

Observation 0585b73f-3b39-4081-a49d-26e778ead933 · outbound

This paper cites Case Studies in Construction Materials , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Case Studies in Construction Materials , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T15:16:37.094402Z digest=sha256:c195dcb9cce98521f048730df0ed1e3a0c0027fbc5e6deb1972e1d96908c32c0

Observation 46c2f0f8-6023-4c9d-a4b5-c3eccbbd856c · outbound

This paper cites The International Journal of Advanced Manufacturing Technology , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling The International Journal of Advanced Manufacturing Technology , volume=

Reference 10

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source=arxiv_source observed=2026-08-01T15:16:37.160442Z digest=sha256:77f4fcc2c4cf21883c25658a53fbc3b5082bc04d8020c0fb9a2cdaf98f4f7652

Observation 3a8efaf2-01e3-4d97-8ce8-33e8cf8aa004 · outbound

This paper cites SoftwareX , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling SoftwareX , volume=

Reference 11

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source=arxiv_source observed=2026-08-01T15:16:37.219652Z digest=sha256:de2ac6ff38438205784e54c8b28342a64f9c662a971e065089946f3325cb4342

Observation 67e5be9a-3853-4fdb-bca9-a5cf7ba3d16c · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-01T15:16:37.282866Z digest=sha256:04795e7a9ae25b3f0c1c166e2977a6e09800c0e454b991e8b8ee99a775124133

Observation 26de5be4-69a2-4cb0-a95d-cd41ea4a6ea9 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-01T15:16:37.344164Z digest=sha256:1d0a5a8f9e00a6ccc96cbfa8d13ef88ab8b2b59abe45448f5a06caffde53ede5

Observation 8b429ad2-b8c5-48a6-bcba-8cc9b639a843 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-01T15:16:37.393289Z digest=sha256:6e72b6380b5b4620e8a50ed6dfe1a6823923c15df47cebb6123bdb981bf6d48a

Observation 8c61e499-b4f4-43ce-aa60-fd2deedd8ea1 · outbound

This paper cites and AghaKouchak, A.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling and AghaKouchak, A

Reference 15

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source=arxiv_source observed=2026-08-01T15:16:37.457698Z digest=sha256:6bfa2f6d21b23867eff60a6a4dda3aaeb28e0618b4fd409ceba88bf55d267b20

Observation 7d350765-e728-44b8-9fc0-933f5e309627 · outbound

This paper cites an unresolved cited work.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-01T15:16:37.526110Z digest=sha256:2843d6e4e0275243ff66277f370e363eb7c224913c69080c0d55f2c7fe24688a

Observation 7cdf088d-0d51-40f6-a0e3-30b9a4825d1e · outbound

This paper cites Wormholes in Maximal Supergravity.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Wormholes in Maximal Supergravity

Reference 17

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source=arxiv_source observed=2026-08-01T15:16:37.586666Z digest=sha256:51f1bf3b4070af274f8cc51b86cbdc32803fced46159011b6e4f512fbcd53951

Observation b829c26d-2c8e-4dce-9b45-87fee9de6d89 · outbound

This paper cites deep SIP : deep learning of S upernova I a P arameters.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling deep SIP : deep learning of S upernova I a P arameters

Reference 18

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source=arxiv_source observed=2026-08-01T15:16:37.643622Z digest=sha256:ee9aca0d2887189d18afa90e2acb2e760ba1d23b2e57a5e76fc08f06a317acbc

Observation 3e2d8457-3ec5-4459-90ec-afe70615e17f · outbound

This paper cites Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing

Reference 19

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source=arxiv_source observed=2026-08-01T15:16:37.703121Z digest=sha256:5712e2232eea67571f8d4147a6e14a1d490540988f671afef8a6b786929735fe

Observation e4d47f9e-322a-4ea3-aa1c-443b25cf03df · outbound

This paper cites Proceedings of the machining innovations conference (MIC) , year=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Proceedings of the machining innovations conference (MIC) , year=

Reference 20

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Observation 95ea1fd1-7239-43a8-8bdc-4bc41fec7fa9 · outbound

This paper cites Journal of manufacturing systems , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of manufacturing systems , volume=

Reference 21

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Observation 8293d1f3-4f49-45a1-91ad-f863c85c20d4 · outbound

This paper cites 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , volume=

Reference 22

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Observation f63eabf0-f995-41fe-8394-153812481357 · outbound

This paper cites Sustainability , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Sustainability , volume=

Reference 23

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Observation 004f548f-857b-496a-a1f8-426cffc154b0 · outbound

This paper cites Engineered Science , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Engineered Science , volume=

Reference 24

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source=arxiv_source observed=2026-08-01T15:16:38.087740Z digest=sha256:ae2ab71f81629a3296259abff86b21aff6a8dfd48e0ac49d3e22c0053529c904

Observation 1be35c55-1786-4e55-a8d7-93367016e66e · outbound

This paper cites Journal of Intelligent Manufacturing , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Intelligent Manufacturing , volume=

Reference 25

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source=arxiv_source observed=2026-08-01T15:16:38.170888Z digest=sha256:a4eca43180b1253a70371a1115911c564079994fc0665b75426b78ce8ae04a9b

Observation 1ed38a7c-d608-48f7-a2b6-27f62d50d951 · outbound

This paper cites Applied Composite Materials , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Applied Composite Materials , volume=

Reference 26

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source=arxiv_source observed=2026-08-01T15:16:38.254921Z digest=sha256:5b650f431d88a881e65342e04ae6ddaa44ed473ecfcb54ff0bfce9d1b323de8a

Observation e26f03d2-3dfb-48bc-96f7-83c976ba5ecd · outbound

This paper cites 2018 , publisher=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2018 , publisher=

Reference 27

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source=arxiv_source observed=2026-08-01T15:16:38.371612Z digest=sha256:b665a6c23031bc6a7e90df2c0be1ca2f567f3aa8182fa96a0f0f4e474ceadf7b

Observation 80066a10-d311-4e21-a682-dee18fd771e2 · outbound

This paper cites Knowledge-Based Systems , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Knowledge-Based Systems , volume=

Reference 28

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source=arxiv_source observed=2026-08-01T15:16:38.455831Z digest=sha256:8a70608e08dc6131e459466507b3252b678ac3b57c5cefcc8bcd4238e595789b

Observation a071d504-6b97-4fa2-8e87-be6fdab86eb7 · outbound

This paper cites IEEE Transactions on Image Processing , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling IEEE Transactions on Image Processing , volume=

Reference 29

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source=arxiv_source observed=2026-08-01T15:16:38.514688Z digest=sha256:4581fa625a457a77fe94fbef82e6fe41e007be769e743c60a7edc5db260e01fe

Observation ad5be1b8-4df5-4757-a445-b922ed4ed4e2 · outbound

This paper cites ACM Sigkdd Explorations Newsletter , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling ACM Sigkdd Explorations Newsletter , volume=

Reference 30

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source=arxiv_source observed=2026-08-01T15:16:38.594529Z digest=sha256:499990a960b0bf756aee5dd7ca755ebcee24c5d678663900bf229c2b3681016f

Observation 110e2660-d9dc-4c58-a928-d460dc58e6e4 · outbound

This paper cites 2016 international conference on digital image computing: techniques and applications (DICTA) , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2016 international conference on digital image computing: techniques and applications (DICTA) , pages=

Reference 31

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source=arxiv_source observed=2026-08-01T15:16:38.650462Z digest=sha256:cc8de6474db25f232852dd1fde21b15771bf8d5b4246c9e22cb8467c6fad80b2

Observation adcf9d5a-a48d-4fe5-be86-d6d4e7e19428 · outbound

This paper cites A Practical guide on Explainable AI Techniques applied on Biomedical use case applications.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling A Practical guide on Explainable AI Techniques applied on Biomedical use case applications

Reference 32

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source=arxiv_source observed=2026-08-01T15:16:38.812404Z digest=sha256:fe0a52a79e04510c984480eae681051fce36c9747109620af1c8a6987e940ab1

Observation d81b68d4-6c91-4c3a-beca-f61e8a4f1ee0 · outbound

This paper cites Journal of the Franklin Institute , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of the Franklin Institute , volume=

Reference 33

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Observation c3167346-2a39-46fc-a7ed-e9e9d1e6fb9e · outbound

This paper cites Proceedings , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Proceedings , volume=

Reference 34

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source=arxiv_source observed=2026-08-01T15:16:39.150885Z digest=sha256:b1c7a28b6a501336f8310e550d94f6fdb6c317ba202fa15b898aeb643cd890f3

Observation 585f1a96-f66e-4267-9e49-b9bc85a02b83 · outbound

This paper cites Wiley interdisciplinary reviews: computational statistics , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Wiley interdisciplinary reviews: computational statistics , volume=

Reference 35

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source=arxiv_source observed=2026-08-01T15:16:39.265220Z digest=sha256:5108b55a40cdf5e4d6d02b2ce0b31ba7a2d5a57707224f41c5aea4a7fbd4ba9a

Observation 7fdf6d95-f6bf-48c8-8300-20fb0b6698ec · outbound

This paper cites International Manufacturing Science and Engineering Conference , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling International Manufacturing Science and Engineering Conference , volume=

Reference 36

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source=arxiv_source observed=2026-08-01T15:16:39.350564Z digest=sha256:c228624c0beadc65fda581cf0a360963785e734e7b69f888d21e7b4dac081d3e

Observation cf3f5785-77f3-4d37-ad7b-0c09f8d62916 · outbound

This paper cites Procedia Computer Science , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Procedia Computer Science , volume=

Reference 37

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source=arxiv_source observed=2026-08-01T15:16:39.405948Z digest=sha256:a98afab1ea22f4cf00d343904860a88508e9ffff9d65757b6eef2f6ffd3bb53a

Observation 46eee6f3-1448-42e7-82ea-8b6b54eb5b33 · outbound

This paper cites IFIP international conference on artificial intelligence applications and innovations , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling IFIP international conference on artificial intelligence applications and innovations , pages=

Reference 38

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source=arxiv_source observed=2026-08-01T15:16:39.491380Z digest=sha256:082d10bd414cc67173befe003809b78f2d7abf05ece485549e26a6622e8b8f2b

Observation a5444b89-ca90-4e54-8bd6-2f93f2ff1863 · outbound

This paper cites Processes , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes , volume=

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source=arxiv_source observed=2026-08-01T15:16:39.583004Z digest=sha256:9decf011b170773db329bc2b60e7034deafc8ce2dffe08025a712d4bb59a7f45

Observation 4f7de56e-8433-483a-826d-63dcf37c7f86 · outbound

This paper cites 2020 , month =.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2020 , month =

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source=arxiv_source observed=2026-08-01T15:16:39.636351Z digest=sha256:55cde4d3bf520476750e23d58ddee00fe8f611a0336e93b06e788a7e51c92195

Observation 2c165cfd-9c1d-48fd-a7fb-bb2470c94b5b · outbound

This paper cites Journal of Machine Learning Research , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Machine Learning Research , volume=

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source=arxiv_source observed=2026-08-01T15:16:39.704281Z digest=sha256:13c25f410bb9ab4dcf1500058130a71cf3fc7e7697a913ce4cc1cc55131e6337

Observation 4739da09-3733-49e8-82ee-e8f1d87af515 · outbound

This paper cites Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

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source=arxiv_source observed=2026-08-01T15:16:39.748487Z digest=sha256:824b7c2a2a7b6ec74a935a5b496ba37f6be968d1aea1690c5a2b809170e71d86

Observation 7a22c268-300a-44a8-9d87-4a469983349a · outbound

This paper cites NeuroImage , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling NeuroImage , volume=

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source=arxiv_source observed=2026-08-01T15:16:39.805585Z digest=sha256:bec0c6a129514b509bae20f355f0fbd725d3af0dcb5cbc3615a65cdc45e4e52f

Observation f22307b4-f99d-4127-9a1b-47ff4927e5b8 · outbound

This paper cites Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery , year=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery , year=

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source=arxiv_source observed=2026-08-01T15:16:39.870612Z digest=sha256:2bae0aa1fb6cd0786affebc0bf1f51479db49ac6e113f3347a990eca4c8e19c3

Observation 98e08d32-a38d-4494-92f5-d87c2f41fea3 · outbound

This paper cites Processes , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes , volume=

Reference 45

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source=arxiv_source observed=2026-08-01T15:16:39.932668Z digest=sha256:9a76d6b6c7fceba94f7b6e140a0ed3252a595f39bcaef360f2a5b66941dac4d4

Observation 3e3bb409-74b9-402d-ba78-662be5451768 · outbound

This paper cites Additive Manufacturing , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Additive Manufacturing , volume=

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source=arxiv_source observed=2026-08-01T15:16:39.998668Z digest=sha256:b34dcb9d96c0f7598e29a77946b67aaacef8b6c4c583cf41c3a32919e7eb98d8

Observation 78008d3f-86f8-4b9c-9f74-6d15d9fdb4ad · outbound

This paper cites Polymers 2021, 13, 3849 , author=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Polymers 2021, 13, 3849 , author=

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source=arxiv_source observed=2026-08-01T15:16:40.056161Z digest=sha256:d55829b77baf57d291b87b8ef212b8ad9dea6dd64aa03a5387e4c0da97bf49c2

Observation afd1c5df-28cc-48d9-81ac-b8305a5d07a6 · outbound

This paper cites Journal of Intelligent Manufacturing , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Intelligent Manufacturing , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.117269Z digest=sha256:d2935c9d5c352f79764aa1c8e5e379455a9692cbad39f332842d2db1935ee88b

Observation 7649d674-86a1-473a-aefd-38952479f3b4 · outbound

This paper cites Mechanical Systems and Signal Processing , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Mechanical Systems and Signal Processing , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.191733Z digest=sha256:e8ad7ee71549a8a52aaaeff7c84df749c95109d65b9a257200c25afd2aea7b19

Observation 2d77f832-eeca-45d4-b853-709dcb78a1b5 · outbound

This paper cites Engineering with Computers , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Engineering with Computers , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.272067Z digest=sha256:f3b3a7d42edf2fb04090eefc3f6fadfe855423d87aad444b9f4eaa1aa1e6fbad

Observation 43fed3aa-ee5e-4bf9-8416-606b6b587830 · outbound

This paper cites Electronic Markets , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Electronic Markets , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.381999Z digest=sha256:9c8dfe06ee18b517c1046ab2c38bf4fe49dd3229669b69e6a5771c266a578e25

Observation 54993597-69f5-461d-877e-6047f2a8de76 · outbound

This paper cites Structural Control and Health Monitoring , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Structural Control and Health Monitoring , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.546736Z digest=sha256:2f0a9b871385bc04069bc6043a7a2f7902541c95480c57cecbb302525594e9ae

Observation 85fe448f-c278-49d5-8518-5fe9fbe830ba · outbound

This paper cites International Conference on Neural Information Processing , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling International Conference on Neural Information Processing , pages=

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source=arxiv_source observed=2026-08-01T15:16:40.659251Z digest=sha256:93a7f04068948a661b156aa0f29b2cbea183d3f42ef49b8bd06cfe259ed7aee6

Observation e19ecb70-9f6c-4431-b619-0333c21425d7 · outbound

This paper cites Processes , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.779123Z digest=sha256:1306124b13bbc41ddaea8bfc16cee147b4b08ef759394c4d1fb34e801f1b78e7

Observation 3ae52fff-db91-4812-910f-4fbede1c47e9 · outbound

This paper cites Journal of Manufacturing Processes , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Manufacturing Processes , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.825343Z digest=sha256:4fbf41fa8f6aea68498e66841efbdaa9a230f52f74ea8e180d36b9537e5c48c2

Observation 2fec9c64-9d9c-491b-88e6-2b3cdcd56c00 · outbound

This paper cites Journal of manufacturing systems , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of manufacturing systems , volume=

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source=arxiv_source observed=2026-08-01T15:16:40.941736Z digest=sha256:35a16a81a9b8e633839560c0e3a3c66576e42cad871d36a14103aa7cdc734fbe

Observation aa1d3424-10c7-40b4-a10f-8cb3d9da8b4e · outbound

This paper cites Computers & Chemical Engineering , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Computers & Chemical Engineering , volume=

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source=arxiv_source observed=2026-08-01T15:16:41.049296Z digest=sha256:f279beddf270ad5ace18157d9bf4756d6381370099c9b11ac776048fe51c383b

Observation 632a2cc3-202b-4783-aed8-57bafeeba0a6 · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica , volume=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling IEEE/CAA Journal of Automatica Sinica , volume=

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source=arxiv_source observed=2026-08-01T15:16:41.145983Z digest=sha256:553706e6f44d84177c831411f491540eac5dfc8d93ebd31125f98b35475f7a59

Observation 1201563e-8632-4729-8c66-d03653aaf69b · outbound

This paper cites 2008 American Control Conference , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2008 American Control Conference , pages=

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source=arxiv_source observed=2026-08-01T15:16:41.249298Z digest=sha256:b8f88e02424948ac0625675cd92003435924547c77cae9386b4140bf07d7fbd5

Observation 18244f84-f969-4e9e-9835-0a630c8deb57 · outbound

This paper cites 2006 IEEE Odyssey-The Speaker and Language Recognition Workshop , pages=.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling 2006 IEEE Odyssey-The Speaker and Language Recognition Workshop , pages=

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source=arxiv_source observed=2026-08-01T15:16:41.410362Z digest=sha256:33772bc59f37f03d3e11c851eeb66fd8b9acf2e66438824304523f6edc8b56ad

Observation 25d6b5e2-1f7c-4c5c-aa2f-3223ff90c3a6 · outbound

This paper cites Multi-Modal Explainable Artificial Intelligence for neural network-based tool wear detection in machining , journal =.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Multi-Modal Explainable Artificial Intelligence for neural network-based tool wear detection in machining , journal =

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source=arxiv_source observed=2026-08-01T15:16:41.571577Z digest=sha256:1c069845678798c4cc323abb65b69176fd9c018fa023229e330e993a2ad0207d

Observation 3c2ce91a-be46-4cf7-b2cf-7dac6c1125f9 · outbound

This paper cites Wiley interdisciplinary reviews: computational statistics 2(4):433--459.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Wiley interdisciplinary reviews: computational statistics 2(4):433--459

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source=arxiv_source observed=2026-08-01T15:16:41.783354Z digest=sha256:170e05cae5ddb29b53c8862ec7266101a1960c95515ed9c9da8395445d0dad76

Observation 41fd1cdb-80d7-4b3e-b919-debebf664070 · outbound

This paper cites ://www.pycaret.org, pyCaret version 1.0.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling ://www.pycaret.org, pyCaret version 1.0

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source=arxiv_source observed=2026-08-01T15:16:41.916634Z digest=sha256:0b56a26fad5aab605d13c4000606770c56b8947e5800ed4c822f75eadae208f3

Observation 5165e92b-4da5-4004-a170-73f430f8bae9 · outbound

This paper cites Procedia Computer Science 200:482--494.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Procedia Computer Science 200:482--494

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source=arxiv_source observed=2026-08-01T15:16:42.055857Z digest=sha256:c97eedad5b7179972590f09bf48da13040908df84260eea050e07a42c2915503

Observation 4b51b7a4-0e15-4cf2-88e6-b2865b6455f7 · outbound

This paper cites arXiv preprint arXiv:211114260.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling arXiv preprint arXiv:211114260

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source=arxiv_source observed=2026-08-01T15:16:42.254351Z digest=sha256:8a162f8d0c11a1449c56aa8607fa91586373455d54cb1fcea41f78aa6cecdf0e

Observation fbce5519-f827-4162-a535-304e523374dd · outbound

This paper cites Journal of Intelligent Manufacturing 36(5):3129--3141.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Intelligent Manufacturing 36(5):3129--3141

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source=arxiv_source observed=2026-08-01T15:16:42.442922Z digest=sha256:a4c22dbd09765799098669a9a0bad33a10a3fe14a4e6d09ed051502b3842b70d

Observation 5c245262-325f-463b-97f7-57b52e1f3072 · outbound

This paper cites Engineered Science 29:1088.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Engineered Science 29:1088

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source=arxiv_source observed=2026-08-01T15:16:42.606983Z digest=sha256:b30b3f485abcda6b9bc941cfe5af213b0d9c0fc8a80ee6d46976b56381e08754

Observation 3f29b43e-2264-4408-b9cc-637b27e773a5 · outbound

This paper cites In: Proceedings, MDPI, p 31.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: Proceedings, MDPI, p 31

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source=arxiv_source observed=2026-08-01T15:16:42.771763Z digest=sha256:1ee855873edfe98d897ff6b0d28e3d29b6ac49a2fb253e0da042d5fab000d2e5

Observation 19f659c6-dce1-481a-9033-58bb689103e3 · outbound

This paper cites Sustainability 12(19):8211.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Sustainability 12(19):8211

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source=arxiv_source observed=2026-08-01T15:16:42.948851Z digest=sha256:994690b6c18b6fb6179f8c6a213bb9755932b0a3f1e98c2e0897dd22044db142

Observation 6c87d48a-ccad-4fbd-809a-6ba73fc6d966 · outbound

This paper cites In: Proceedings of the machining innovations conference (MIC).

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: Proceedings of the machining innovations conference (MIC)

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source=arxiv_source observed=2026-08-01T15:16:43.054006Z digest=sha256:e545095908d1994815c2a8fa969dc6c7e6fae1d6504bc2a024df4b955f12beae

Observation 28e1c861-7453-4f44-a082-bff96ad487bd · outbound

This paper cites a review.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling a review

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source=arxiv_source observed=2026-08-01T15:16:43.265697Z digest=sha256:bc507d175bac43313db0ab66d0b7187ec6912c6fab09e893b250d3c8b288ec21

Observation e2fcd90d-1d36-4876-882f-5cef8d0d6dee · outbound

This paper cites arXiv:200704074 [csLG].

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling arXiv:200704074 [csLG]

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source=arxiv_source observed=2026-08-01T15:16:43.371998Z digest=sha256:eba9bc66235129e7f73f9ed8e4902c5a01bfab6254266ad7c987350daa6f879b

Observation cc5a0efc-3b2e-423d-9ca9-2779857883a1 · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica 7(4):1026--1037.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling IEEE/CAA Journal of Automatica Sinica 7(4):1026--1037

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source=arxiv_source observed=2026-08-01T15:16:43.536721Z digest=sha256:bb5b56899ab93fca7b33fbdfbb13f5fe89e0999b5dab71bb523705f6dfdda811

Observation 796ac8a4-0313-42d1-a7b4-af342be5601d · outbound

This paper cites ACM Sigkdd Explorations Newsletter 6(1):30--39.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling ACM Sigkdd Explorations Newsletter 6(1):30--39

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Observation 55246719-7319-493c-aad5-66475d8c187d · outbound

This paper cites Processes 11(5):1507.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes 11(5):1507

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source=arxiv_source observed=2026-08-01T15:16:43.865162Z digest=sha256:c9dd3fdbc3a796c73de5876d2b513cf37ad598740a40f91d5a62b03acc8bdca6

Observation b7c8704a-483b-44cb-8e37-9b88b43bf5b6 · outbound

This paper cites In: 2008 American Control Conference, IEEE, pp 1606--1611.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: 2008 American Control Conference, IEEE, pp 1606--1611

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Observation 2d11d1a2-c8c4-4d48-95ca-3935ea3f22bd · outbound

This paper cites Knowledge-Based Systems 212:106622.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Knowledge-Based Systems 212:106622

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source=arxiv_source observed=2026-08-01T15:16:44.201150Z digest=sha256:cdd89524f6084466de55e0747d747c7d9979cf9bfbad29bd4a13dc8fcea4e98f

Observation 240489d9-a5c3-4cb8-8292-fea2038976f4 · outbound

This paper cites In: Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery

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source=arxiv_source observed=2026-08-01T15:16:44.470586Z digest=sha256:01da71e33811e9d1bec8bb63375ddc22cb96fe3ef34c8a28a3b63ccae5f63906

Observation 5f5e35ff-8fe2-485c-a09a-696ad5f81003 · outbound

This paper cites Journal of Machine Learning Research 24(6):1--6.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Machine Learning Research 24(6):1--6

Reference 79

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source=arxiv_source observed=2026-08-01T15:16:44.672823Z digest=sha256:51a45303fd3d971ec62726f1f6f62cfc6a1816f9405792724c3409a597573661

Observation 2026aabf-f1c1-43aa-b1f7-14648152d743 · outbound

This paper cites Mechanical Systems and Signal Processing 182:109607.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Mechanical Systems and Signal Processing 182:109607

Reference 80

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source=arxiv_source observed=2026-08-01T15:16:44.742898Z digest=sha256:a606fbdb5c5748db4e4cd77a4df3a754df0b51482d08e9c49173de1e3f9716e8

Observation a2fb02f5-143b-4e2d-987d-fafc7ba4b429 · outbound

This paper cites Journal of Manufacturing Processes 48:66--76.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Manufacturing Processes 48:66--76

Reference 81

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source=arxiv_source observed=2026-08-01T15:16:44.852253Z digest=sha256:66fc43a7b206bcad7f80e376ccfa4bea2a2fd4a19a6c38f0562cb5c131b987ff

Observation 5643c422-60d6-43b7-a202-d03671da6605 · outbound

This paper cites Journal of the Franklin Institute 334(2):307--318.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of the Franklin Institute 334(2):307--318

Reference 82

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source=arxiv_source observed=2026-08-01T15:16:44.948613Z digest=sha256:518fa36e6087729efd5e7f60f264d5764ac6a5dcd3046d6a7bf7b188d39e0fab

Observation 720d5d62-0a0b-4dc6-bd80-c89697b255ef · outbound

This paper cites Additive Manufacturing 49:102505.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Additive Manufacturing 49:102505

Reference 83

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source=arxiv_source observed=2026-08-01T15:16:45.061100Z digest=sha256:01844ba0e59cee501e3e0fc949920d2d410706b30eeba37a64b73c01e10626e9

Observation 10127884-20da-4aba-91b2-e56e3c4aee0e · outbound

This paper cites Journal of Intelligent Manufacturing 36(2):1095--1110.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Intelligent Manufacturing 36(2):1095--1110

Reference 84

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source=arxiv_source observed=2026-08-01T15:16:45.265576Z digest=sha256:ce3e89bed7df953cc5d320b5d1766dde99bfc5aab02385bbb1f588972e40c96f

Observation c820c4da-8b65-4543-8905-a711f36ca6c9 · outbound

This paper cites Computers & Chemical Engineering 141:106970.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Computers & Chemical Engineering 141:106970

Reference 85

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source=arxiv_source observed=2026-08-01T15:16:45.439701Z digest=sha256:a5ef3a37d9de6f2111cf6f1fa8a069848eab4f691b8764e44181d6fcda2f9759

Observation e2809c2c-284b-44db-843f-4906181d2a67 · outbound

This paper cites Processes 11(5):1396.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes 11(5):1396

Reference 86

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source=arxiv_source observed=2026-08-01T15:16:45.685050Z digest=sha256:21320b89554567867c7f4c879273a4698410ee8815202c2284c0212107b3ba03

Observation 6e34af65-20ae-43e4-a5f6-b4c7861bb6d7 · outbound

This paper cites In: International Conference on Neural Information Processing, Springer, pp 303--318.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: International Conference on Neural Information Processing, Springer, pp 303--318

Reference 87

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source=arxiv_source observed=2026-08-01T15:16:45.843490Z digest=sha256:2cdfebd9b18d258045c378a23fc0b81648628e1842e81d9e2dbcd5c3578a18f2

Observation 099bbbd2-6801-4759-bb5b-19262ee9529b · outbound

This paper cites Engineering Applications of Artificial Intelligence 144:110141.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Engineering Applications of Artificial Intelligence 144:110141

Reference 88

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source=arxiv_source observed=2026-08-01T15:16:46.060688Z digest=sha256:53fa56000cd6523e0284a0603311aeb4dc0b87a8b9a1a55e2bd69afc00bc8042

Observation 2f28b18a-51b7-4374-bd61-63c22c814256 · outbound

This paper cites In: IFIP international conference on artificial intelligence applications and innovations, Springer, pp 262--273.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: IFIP international conference on artificial intelligence applications and innovations, Springer, pp 262--273

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source=arxiv_source observed=2026-08-01T15:16:46.239193Z digest=sha256:f43c25f66d42728aaaed4c9940a7187284b17358b0d94cfa9312dfee3f51f6fa

Observation 20df990d-4f55-4e5a-a019-077ca27c1bf2 · outbound

This paper cites Case Studies in Construction Materials 19:e02405.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Case Studies in Construction Materials 19:e02405

Reference 90

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source=arxiv_source observed=2026-08-01T15:16:46.374808Z digest=sha256:9cc13fa91b0addb769e0863d921a0f1cfdfaef2ea1829fc2382a933772e94c99

Observation a9df0dc7-2cab-4705-871b-3c1048d98eb6 · outbound

This paper cites Adaptive Computation and Machine Learning series, MIT Press.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Adaptive Computation and Machine Learning series, MIT Press

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source=arxiv_source observed=2026-08-01T15:16:46.542374Z digest=sha256:fc01339acc5f8622040c7fc5e2b78fce0703db346cb702f0e4c0fa54b04d2f28

Observation 62aae5dd-c30e-4391-935f-2f38ec81ea9b · outbound

This paper cites polymers 2021, 13, 3849.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling polymers 2021, 13, 3849

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source=arxiv_source observed=2026-08-01T15:16:46.644553Z digest=sha256:3413c34a31acc0786e4e2b61dbe18262d7c2967614b7b22b106f95c0a53b4d2d

Observation d49b7a40-2a2d-4883-9628-9971fd4045ad · outbound

This paper cites Applied Sciences 15(1):442.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Applied Sciences 15(1):442

Reference 93

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source=arxiv_source observed=2026-08-01T15:16:46.828879Z digest=sha256:4be31c9d34806367e41ef78351422f10c4fd0a194d8a05081454766d5be8701b

Observation fe572548-b252-460c-9f9b-5ba74a16c9cf · outbound

This paper cites Journal of Composite Materials p 00219983251330717.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of Composite Materials p 00219983251330717

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source=arxiv_source observed=2026-08-01T15:16:46.973758Z digest=sha256:34d58716cb6e4b6b3def39ba433217a98b1ae12c8b0f68bbcd1bc646cfc856d1

Observation 39eb1b0b-edbb-4ef1-9dd7-d2c50454a8ab · outbound

This paper cites Journal of manufacturing systems 48:157--169.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of manufacturing systems 48:157--169

Reference 95

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source=arxiv_source observed=2026-08-01T15:16:47.133025Z digest=sha256:861ee23e40f2182f707d699343adfd3dba63f31403ac314b0f568b54ba4da56c

Observation 10e87509-3955-4883-abb8-fe05fcfe9165 · outbound

This paper cites In: International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, p V001T01A037.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling In: International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, p V001T01A037

Reference 96

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source=arxiv_source observed=2026-08-01T15:16:47.235258Z digest=sha256:9661d83d440f2a593c2ba159076f9a4aeb5664acc580dccf5c2c8b2b83ec9daf

Observation 34bb4819-5c14-4d3b-ba7f-72287344c2ea · outbound

This paper cites The International Journal of Advanced Manufacturing Technology 139(5):2505--2524.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling The International Journal of Advanced Manufacturing Technology 139(5):2505--2524

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source=arxiv_source observed=2026-08-01T15:16:47.340262Z digest=sha256:6b90b0a1f77d4833896a97d1249113fd7a45e648290bd57b08b2b0135c192548

Observation b540c172-f728-4f90-9e1c-160db7ed1849 · outbound

This paper cites Processes 10(5):862.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Processes 10(5):862

Reference 98

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source=arxiv_source observed=2026-08-01T15:16:47.445244Z digest=sha256:2a022898945a1870aa25c5e75798479e9315cd94c5f856b37cc7bdff653e0eac

Observation a73c729d-e44c-4c1d-8d61-bbdf27d66af0 · outbound

This paper cites SoftwareX 31:102268.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling SoftwareX 31:102268

Reference 99

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source=arxiv_source observed=2026-08-01T15:16:47.518320Z digest=sha256:5f4a9f9ab24b0cb039ca82ac2760d97446d24f8936596747aeea42be38eff743

Observation 59163957-8ee9-4c1b-a1b6-852413421424 · outbound

This paper cites Journal of manufacturing systems 48:144--156.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Journal of manufacturing systems 48:144--156

Reference 100

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source=arxiv_source observed=2026-08-01T15:16:47.590774Z digest=sha256:46c31d243e854530f1d7886a1bc1a808c1def4c35f1549936406a2686f9323d8

Pith citing papers

No inbound Pith citation observations are available.