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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 9 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 2026-08-09T06:31:02.800959+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

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  • 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=sha256:0fb645cf14c0ebad2083c8ed89fcd70c5633dda319a6b2251e3d75bd88b6c19b

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=sha256:38727f809a0e959e09fe39140da937f6767a614891860d41a4dc9ac8e322477d

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=sha256:07413b7f96cdfbe031445e9143b90fd9417d2faffedfee3f6ecb24977b240880

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=sha256:198663f695db74e3c113279db556da7b6c24d8fea426960011eaf5d19e09d677

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:d046847d552dce4ed45e5390bc6395d08aa953e86cd2ced3a5f3ffae35e04327

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:e5326fba7115cf770a3dd0ac03d1e0400b9ed800f4983f51da01d8c8f65f9905

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:d6f4c34eb7244764d33d21a1019ad76d6324b5d40874979e2f1c2b9782e6f40f

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:ec5368535233e65aab04b3e6d69aff3a8c300f421f30255e567251d050460b13

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:ac83940904ddd08eb65f51df52506547a77fc44f58177a96f070f0c53f25f076

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=sha256:5d4eeeca2a2038ac6658076ea005a75c5672fd574015a8a5940d05d6434a7a72

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=sha256:48834fbf7d2b011da0c128650f76856c0a8c7eca1f86ca2931d2fa6b0a0a9c75

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:e7ca08e41f55ef0dd1c81c26b8f2ee006f97834f838db3eb65280fde77c356a7

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=sha256:710309384cd9c51046c635ee42a28e504f171836dc059cf0ed85961badec0ea8

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=sha256:866ee9ed177e461ea5dee4aa6c90d3bdd39b636c911a9c24ca06a95a4c275202

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=sha256:2993e231ba2940c0a43790e8e5c4f0b8fc5fcd3978c53a712f67b5c1d56423c4

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=sha256:7fd00c29ae258271b4c79747b5c39dd4e8250ce9fbc66926a56ec58b92f1fb25

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:af10de3a0f920f43b5aaa966f2a42074bd0d75f1232941f0128d860e4691a747

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=sha256:04c2d7d612510d9c7e21ab1bc43885304fa3f23c26f7c9160f719def45360c46

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:cf8df3e233ef6a8f9578797d385bdb8e2ad4776a080565d65700bc4228de1d5b

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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source=arxiv_source observed=2026-08-01T15:16:37.765309Z digest=sha256:dc77c62808a62bf8bf9dabd584279b79349ba4bfb5b7e5d34c7af46c99fef51a

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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source=arxiv_source observed=2026-08-01T15:16:37.833381Z digest=sha256:15ecab172f1389c3427a7ed9ce5850e0abde24f8f1ede934338b1f5f26e9be75

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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source=arxiv_source observed=2026-08-01T15:16:37.915689Z digest=sha256:1f6492b050662ef6237784f0f0ecf03910195bc2bdf1f2e6f0a2465d880c9e0b

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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source=arxiv_source observed=2026-08-01T15:16:38.000566Z digest=sha256:7d4493b8d5d01292037d2567e268d57e0c8db50a1bc2a79406763ce8afc92724

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=sha256:657397ae24e4bbcba28135df7d12cdb96fd37370b44787a43ffc5fd0f0da98a8

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:f05501be560e68a0051e88cd3a5ad40d55d8c672adb6b6b133b2813b99591977

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=sha256:50ae6b9103171f5ef921dab86c860cfd4cc92df419bb0bd321a384a9d8115af1

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=sha256:6ecdc7d7a9e9af7da6bbb396b1b7d5960de2bd3d00cc300e5d010f520b8e6de1

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:ff92fc3f928af1e9027db184414aebedfdcc46c9a009528d7b2f372ce8c6f967

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=sha256:2a691164672a690b72310d4f1733bc41829cfbeb383baab0481e991c1c7001cf

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=sha256:9075354dd259fcb6abce0d33cd0161f0d3913418e0161c0b81a95428e6bd13ff

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:d0a0f2aa6ba4a7052750fefafa09b7bf52bc04559f83c80ada859e272b94f1b0

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=sha256:2a6a7314b1cee8002699292400f7f10d4c8787e8c2c147cf8f3f51f717ef64ff

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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source=arxiv_source observed=2026-08-01T15:16:38.984734Z digest=sha256:21f78567fd705f2e5e4c5329e73aa7a04713d6fe88408573a4aaea5d81bdde14

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:de8d0bfa1e2412095e51d5a28157e188b3dd0f0a0ceb4c134b78c42905594072

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:c2f779e272381fe7bf0f73d1f12826ae697e4a46c3fbaf8680089acaae47fe1d

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=sha256:2fec74581f8a8d55d683ff48841fe51d0940f744e3d1883589308b6b199d832f

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:e238a36a7f8d514b9945270792ed8fa083c76a17edaae2b49341326d6d4fdc36

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=sha256:6ab575f577e833a1e6284ad19d569f76f02a30995b4490c13b7c9a32da45315a

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=sha256:1c90a51cef5cabcff7a6fe5fef7f51ec1db19a0ca650f2d1139ab86cafba8885

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=sha256:866d50d71c6bb3e5fe955a660b0c3a9c16f33b39d8b125f8429f96e38ff4328b

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=sha256:00eccd497795d63d5b3b40c91716661dcf534ce5ae6cb6c3b213d0d769855c54

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=sha256:701d7e74b9390486f26268686da491168659b45c5aad139ae0d677af473f50be

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=

Reference 43

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source=arxiv_source observed=2026-08-01T15:16:39.805585Z digest=sha256:cb1f7c733c9ea32e8a7b7520f7ce48b1317f7ba098309bf0961023fefbe692b6

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=sha256:1b4bd5966cf10c6818000e445c02c3df53eb698e6b249528ec42d1174d34cf8a

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=

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source=arxiv_source observed=2026-08-01T15:16:39.932668Z digest=sha256:f8b7ec3e40543db3bbc373423c836c1e7811ef6064ae23fcf35942f0e9cc72bf

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:cc3f5ee4ea1de1bbce1a8b3c946db74f54abc39b54e572eb90eb4879fa09751a

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=sha256:00799eec391dd4a8bf7bceff68b489db91b4d22f6109a6e6cd3ed3cbbf95c567

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=sha256:70e0558122c5dc4d6d604b4dff8e6b407bb57aff31a93f6493f33d9c300f3128

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=sha256:4e82737983a347c8feb2ba93ad14b719bed7ae01c9f17fee83c17527ebe96d85

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=sha256:52c24f7322cdeba1e824e67d780cec13edbe87d8c6e5d65d3c71422933900b29

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=

Reference 51

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source=arxiv_source observed=2026-08-01T15:16:40.381999Z digest=sha256:2d9c749fd1303f3425141f9b1610ddd17e6deb45ca988b94be967249bc4843af

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=sha256:65bc427175e5256041b3ce292b680012ec9e524c69b1539d57d2cd5d91fc5fa7

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=sha256:181b493283dd4c9c70c7fe8f9ea83cbe04b558ca19c5118becbdd0b13f899d59

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:b372be0d4ff59764acbab0c3ff112e6440394d7f6224046e8b2e885ea1b28588

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:bf008c4bf1d8e97aa22e0eaf98c53e6df100e50b8567e9490598087ba45d1c3e

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:ce9f29b21ec01a8ab48a5ac3ae6fbb887cba74040bf8f9ba7f4d99623d2a983b

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=sha256:3c061cda9fd634bc5f7eecc2a7c06532d61fb38b0a10aaddc49e794b5ef3e000

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=sha256:48034d9f6825bc7e148cbfe02c1391554de1627c48cce24ce64e4af2bd5c82ee

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=sha256:11d7ff8b81b69f665ffad45f79b6ae96f5defa32f78bac8eca08850d612587b6

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=sha256:2b94cdad8ac4f1046760cba16502441ff3db557996d79fd12d871c466909d55d

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=sha256:8f9944a3b848a6261f9f2dd623f1f09a4554da86cff8cde0194d1a37104cd847

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:a623e8981e68438dcd9b54b09a217184279dc299070371efa295a4895ededc67

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:ccc6da8e6bc65ce8d5e6d4531b974f4e5dc0cee0f5c227dd06721f6452fc47d3

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:c20b201a5a19bfa76774019afee54d22301461bec8ccda30c8554e0da0b1ed03

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:b9c15e4a60daf9b3fe18fc32e9eab8a39aeed7742be492c329d9331cd7ebda77

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:be847323dfb4c828b1919b234226b4e71504a56b64b7030fd38a492d842d766c

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=sha256:84d474741f2cd15f8499b34beabf6a541bdaec88f869ee04e51f79ebaac47357

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=sha256:8c78bd9992f478a6ddfc60d210459e8ade3b51a2298ab425d79b47aa37291986

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=sha256:4008d4543a372144525f27e1f16b892da5ba2003f771618cc0b81c8bc3210afe

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=sha256:772af02b665b2ff3d0147a7cac4ff1b8a82f31c66c02385ea0d646e35b3b5b2a

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

Reference 71

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source=arxiv_source observed=2026-08-01T15:16:43.265697Z digest=sha256:0f08088146336c8ef98448370fc644edb00051d6c27ebd674fd1235bb50bf930

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:f3301e934eddee47010e09ce642c5db4b905d9846c63de4c4d41d163b998e13f

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=sha256:35a083bd85e5093093ce1ed2e9c2ae3f1aa27862bb97db382f9eeb337aebacbd

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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source=arxiv_source observed=2026-08-01T15:16:43.734688Z digest=sha256:52a502c1b31d5e2c8b6e4c12b49e8ec2887192ef1b4b16ff8322a6b2add040dc

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=sha256:628e5d41483286fe5ae310379751c2f8931a978b0c2028c2c453759d6a692f8e

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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source=arxiv_source observed=2026-08-01T15:16:44.028861Z digest=sha256:99c825c92ca01d0a85628b99e897fb26d805c6e566a34d11e7a9d5f921a90c86

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=sha256:5534739f599f5e367a61f822da2d88d1ab9631119aad8bc156b6790204cf72de

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:f74673a793b234c103ead44beca87e04f37b086869e3df95c2a0f38bccef3797

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

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source=arxiv_source observed=2026-08-01T15:16:44.672823Z digest=sha256:6a248df640fe0a7098f7a14b6907161d297962a9304118e7e9c92480f765bcd5

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

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source=arxiv_source observed=2026-08-01T15:16:44.742898Z digest=sha256:d158377c27378ccf08ac6e685ffdbe1238f0965ee6e98b59704afd47466c9621

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

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source=arxiv_source observed=2026-08-01T15:16:44.852253Z digest=sha256:b19232d25363f2c54b1f737688b4c283810464868012d75ca6c8cf99c1a65103

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=sha256:471190fcac4e5c24dffc00a22ec6fda4a8e295a4e3feaf9b2c0649652377d7b1

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

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source=arxiv_source observed=2026-08-01T15:16:45.061100Z digest=sha256:5b16f56d849df36fab6cc4a06f46340aa7cd3744764568843910fe5f41231f51

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

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source=arxiv_source observed=2026-08-01T15:16:45.265576Z digest=sha256:9c8a66d4731b3cbbd5e198c5413bca49132948ef05678268e977b139936d5059

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

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source=arxiv_source observed=2026-08-01T15:16:45.439701Z digest=sha256:17310fbe312ef4c1e1aa598713f23ef7d41d9d2ee9512a7a468db4acec5cb4aa

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

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source=arxiv_source observed=2026-08-01T15:16:45.685050Z digest=sha256:b3b533aa5d45118f55c3ce71bea1350c0289d72d5263b0e5882c9f5dd36a42cd

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=sha256:5238a96d55c2b6ac5557baf2938bb99364700c98d2fdb48d385eed3a95823c30

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

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source=arxiv_source observed=2026-08-01T15:16:46.060688Z digest=sha256:e6de497e19a6ec9668d1f7add17efe30c2c99088b9e58971763fc345dd916608

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=sha256:667b285b7d9e5f664a952fd478fac571fb5512152f69172dd53c65d97aab1ddb

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

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source=arxiv_source observed=2026-08-01T15:16:46.374808Z digest=sha256:5c2b190714daa0012864188f70f75a11c7160932aa7f33ad53d3dbf125be1e0f

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=sha256:88afae65a9aac97d0d3cfe4c6b75ef25d1f912e6150e2d9d71c42d7ae400503f

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:ecc164e6219f9e188b0d51ad67f04f9c40cb44dddc9ef518fea77b02658566dd

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

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source=arxiv_source observed=2026-08-01T15:16:46.828879Z digest=sha256:1e4dc5a133990c49f005e503b4568b9afe88b59755509d40e9b970823e1fd92b

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=sha256:2d5278a014a8a1fa2c096bbc9f561f6e31ba907ea7c02a9e31bf0d5005992d98

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=sha256:99b85e1ad3a60d8e2650d11812370b36c988818799f3e1ec24e1a14aad9c6ed1

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

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source=arxiv_source observed=2026-08-01T15:16:47.235258Z digest=sha256:7fbe59bdb67766673f9c85a7e9a4d9504a365fc1e7f14b5b56852273063b0cf6

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:fbec3af7d60e7cb5dd80dee00248dcf59af6c328d95dd46ac32dbe7b6a959bc9

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=sha256:4c555a3701ec25b785273f0b7d4825b037b02239ce39e1a80f79739b49141f78

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:e418779ae03cf59364d67498b257b8d27c7de7e5da4f8c78bb7a7170af3ee81b

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=sha256:08fc1eaea27119d973ff2adbb7e2b2e1040ab5d8fa351b8201ea9ae0b29e6b5f

Pith citing papers

No inbound Pith citation observations are available.