Paper Citation Record · LEDGER

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2411.17824.

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

pith.paper-citation-record.v1
2411.17824 v2

Coverage vector

measured 43 of 43 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:50:57.122276Z

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Source: pith, observed 2026-08-10T06:16:20.510975Z

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 1d9717c1-eaf1-4dac-bd73-5a0d8042de33 · outbound

This paper cites Fatigue reliability analysis and assessment of offshore wind turbine blade adhesive bonding under the coupling effects of multiple environmental stresses,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Fatigue reliability analysis and assessment of offshore wind turbine blade adhesive bonding under the coupling effects of multiple environmental stresses,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.704547Z

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Observation 8246325f-888d-4507-a489-ae2a75b59a5e · outbound

This paper cites Numerical analysis of the dynamic behaviour of adhesive joints: A review,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Numerical analysis of the dynamic behaviour of adhesive joints: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.689643Z

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Observation e83ab076-857c-4aff-820a-be08b58c7a9c · outbound

This paper cites An updated review of adhesively bonded joints in composite materials,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method An updated review of adhesively bonded joints in composite materials,

Reference 3

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Observation fcb0f2af-38eb-4e5f-a673-8c0226d9fc00 · outbound

This paper cites Review, analysis and synthesis of prognostic - based decision support methods for condition based maintenance,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Review, analysis and synthesis of prognostic - based decision support methods for condition based maintenance,

Reference 4

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Observation ae81d602-f0c1-478c-b7c7-03bfda738be2 · outbound

This paper cites Condition -based maintenance —An extensive literature review,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Condition -based maintenance —An extensive literature review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.643434Z

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Observation 532ff923-9741-4158-ac91-af667b6b13a1 · outbound

This paper cites Current status of machine prognostics in condition-based maintenance: a review,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Current status of machine prognostics in condition-based maintenance: a review,

Reference 6

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Observation 31d35f81-da34-4cfa-83d2-2b2b59f1d617 · outbound

This paper cites A proactive condition -based maintenance strategy with both perfect and imperfect maintenance actions,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A proactive condition -based maintenance strategy with both perfect and imperfect maintenance actions,

Reference 7

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Observation 0c28834a-295f-4e50-8d0c-fdf8bd794cd1 · outbound

This paper cites Structural health monitoring (SHM) in aerospace structures,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Structural health monitoring (SHM) in aerospace structures,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.597457Z

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Observation 28e42dd5-f301-4144-a02b-634d9c99d3e4 · outbound

This paper cites Probabilistic fatigue damage prognosis using surrogate models trained via three -dimensional finite element analysis,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Probabilistic fatigue damage prognosis using surrogate models trained via three -dimensional finite element analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.582889Z

Source-reported events for the cited work

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Observation ec15fce3-941d-4f78-92e9-378c3d597a66 · outbound

This paper cites Fatigue Damage Diagnostics –Prognostics Framework for Remaining Life Estimation in Adhesive Joints,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Fatigue Damage Diagnostics –Prognostics Framework for Remaining Life Estimation in Adhesive Joints,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.566746Z

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Observation f20a0111-6e5a-4abc-b4f1-7592713c3043 · outbound

This paper cites Probabilistic methods for risk assessment of airframe digital twin structures,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Probabilistic methods for risk assessment of airframe digital twin structures,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.551192Z

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Observation 6410db31-aba5-4856-9486-552c31cbdf78 · outbound

This paper cites Uncertainty quantification: theory, implementation, and applications,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Uncertainty quantification: theory, implementation, and applications,

Reference 12

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Observation 870e33fd-03cc-4bf4-8e64-9c596988917f · outbound

This paper cites A Probabilistic Fatigue Life Prediction for Adhesively Bonded Joints via ANNs -based Hybrid Model,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A Probabilistic Fatigue Life Prediction for Adhesively Bonded Joints via ANNs -based Hybrid Model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.525687Z

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Observation 1bc1a626-61d4-4a7c-81a0-ca8c6585a0f8 · outbound

This paper cites Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.509536Z

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Observation 24b555af-dcdc-4f3d-b537-12db182f7500 · outbound

This paper cites Convergence diagnostics for markov chain monte carlo,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Convergence diagnostics for markov chain monte carlo,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.494987Z

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Observation b288d353-535e-48a4-be1f-5e8392e0a6c6 · outbound

This paper cites Efficient sequential Monte -Carlo samplers for Bayesian inference,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Efficient sequential Monte -Carlo samplers for Bayesian inference,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.479768Z

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This paper cites Topics in sequential Monte Carlo samplers,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Topics in sequential Monte Carlo samplers,

Reference 17

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Observation 293028b8-6902-456a-8016-22753d73a50d · outbound

This paper cites Sequential Monte Carlo: Enabling Real-time and High-fidelity Prognostics,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Sequential Monte Carlo: Enabling Real-time and High-fidelity Prognostics,

Reference 18

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Observation e3521d3d-b378-4eba-9177-6681888f64b2 · outbound

This paper cites Scalable and portable computational framework enabling online probabilistic remaining useful life (RUL) estimation,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Scalable and portable computational framework enabling online probabilistic remaining useful life (RUL) estimation,

Reference 19

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Observation a420542a-52ec-447a-97d6-3cc8a7f2bfad · outbound

This paper cites Probabilistic Fatigue Life Prediction and Damage Prognostics of Adhesively Bonded Joints via ANNs-based Hybrid Model,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Probabilistic Fatigue Life Prediction and Damage Prognostics of Adhesively Bonded Joints via ANNs-based Hybrid Model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.424875Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23fc951f-27af-40a2-9504-7b89a37318ae · outbound

This paper cites Surrogate modeling of 3D crack growth,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Surrogate modeling of 3D crack growth,

Reference 21

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Observation 01d1e652-059a-4d94-a6df-4dff58126e9f · outbound

This paper cites Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.396083Z

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Observation 0d482f41-da23-4e47-a798-bcc7d5e04f42 · outbound

This paper cites An adaptive Metropolis algorithm,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method An adaptive Metropolis algorithm,

Reference 23

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Observation d30f8721-9301-40ba-a2c7-22e8a4a34321 · outbound

This paper cites IoT and Cloud computing issues, challenges and opportunities: A review,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method IoT and Cloud computing issues, challenges and opportunities: A review,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.366430Z

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Observation 2a0a7df1-838b-4716-9fb7-a5a8590d93b4 · outbound

This paper cites Cloud computing characteristics and services: a brief review,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Cloud computing characteristics and services: a brief review,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.351920Z

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Observation 97453bec-8fd4-4c45-9d5f-4166d08c2340 · outbound

This paper cites Cloud computing in construction industry: Use cases, benefits and challenges,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Cloud computing in construction industry: Use cases, benefits and challenges,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.337421Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0119c6d-c156-4b76-b740-cb1dcbe6f57f · outbound

This paper cites Modelling fatigue damage in adhesively bonded joints,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Modelling fatigue damage in adhesively bonded joints,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.322921Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42233f03-c23f-4c5f-b3dc-b6157c8e411e · outbound

This paper cites Surrogate modeling: tricks that endured the test of time and some recent developments,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Surrogate modeling: tricks that endured the test of time and some recent developments,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.308117Z

Source-reported events for the cited work

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Observation b991839a-dfb4-4fff-a771-2a2067011052 · outbound

This paper cites A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.293272Z

Source-reported events for the cited work

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Observation 814e0675-cb60-488b-bdb4-c8a65f1e8e00 · outbound

This paper cites A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.278561Z

Source-reported events for the cited work

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Observation 4bf9be9c-14bb-4063-b1c7-4b6bc6a24b51 · outbound

This paper cites Practical options for selecting data-driven or physics-based prognostics algorithms with reviews,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Practical options for selecting data-driven or physics-based prognostics algorithms with reviews,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.263598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0957b4bf-c171-4fc7-8201-e625afeace07 · outbound

This paper cites A generalised damage model for constant amplitude fatigue loading of adhesively bonded joints,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A generalised damage model for constant amplitude fatigue loading of adhesively bonded joints,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.248711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19ef0405-b3b0-42eb-9682-37433ceeb130 · outbound

This paper cites Predicting fatigue damage in adhesively bonded joints using a cohesive zone model,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Predicting fatigue damage in adhesively bonded joints using a cohesive zone model,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.233527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84fe7540-5ff1-4655-a3ca-3d3e0d899cca · outbound

This paper cites Fatigue damage modelling of adhesively bonded joints under variable amplitude loading using a cohesive zone model,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Fatigue damage modelling of adhesively bonded joints under variable amplitude loading using a cohesive zone model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.218093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fbe58410-3e76-41fa-b051-b6058442cf8a · outbound

This paper cites Implementation of a probabilistic machine learning strategy for failure predictions of adhesively bonded joints using cohesive zone modeling,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Implementation of a probabilistic machine learning strategy for failure predictions of adhesively bonded joints using cohesive zone modeling,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.203676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef6ad442-e0b5-4f30-a526-a37f0740d8b7 · outbound

This paper cites Cohesive Zone Modelling in Adhesively Bonded Joints: Analysis on crack propagation in adhe-sives and adherends,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Cohesive Zone Modelling in Adhesively Bonded Joints: Analysis on crack propagation in adhe-sives and adherends,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.189275Z

Source-reported events for the cited work

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Observation 05525e6f-aef1-4a3b-bdfa-39dafada79b9 · outbound

This paper cites Monte Carlo based Designs for Constrained Domains.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Monte Carlo based Designs for Constrained Domains

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:51:47.077463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7fc932d7-72fb-4af3-af17-2fc800a22543 · outbound

This paper cites A review on Amazon web service (AWS), Microsoft azure & Google cloud platform (GCP) services,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method A review on Amazon web service (AWS), Microsoft azure & Google cloud platform (GCP) services,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.174526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd830b0d-91d1-452c-9052-34cdc84c54f3 · outbound

This paper cites Comparison of the IoT platform vendors, microsoft Azure, Amazon web services, and Google cloud, from users’ perspectives,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Comparison of the IoT platform vendors, microsoft Azure, Amazon web services, and Google cloud, from users’ perspectives,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.157011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79cf9099-9ac3-4cee-88c0-7a95ec3c7ab8 · outbound

This paper cites Building machine learning and deep learning models on Google cloud platform,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Building machine learning and deep learning models on Google cloud platform,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.140714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfb54bb4-a789-4cc1-b66d-b1f0b734ab73 · outbound

This paper cites Amazon Web Services (AWS)–an overview of the on-demand cloud computing platform,.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Amazon Web Services (AWS)–an overview of the on-demand cloud computing platform,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.124748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9331a773-d9c3-4c2c-b526-e348aaf647da · outbound

This paper cites Thermal buckling of curvilinearly stiffened laminated composite plates with cutouts using isogeometric analysis.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Thermal buckling of curvilinearly stiffened laminated composite plates with cutouts using isogeometric analysis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.108433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0db57087-6146-4c8f-aae2-34571ec855fe · outbound

This paper cites Analyzing thermal buckling in curvilinearly stiffened composite plates with arbitrary shaped cutouts using isogeometric level set method.

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method Analyzing thermal buckling in curvilinearly stiffened composite plates with arbitrary shaped cutouts using isogeometric level set method

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:51:47.092943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation a9efd52f-27ae-4cee-929f-81be4e67249d · inbound

Statistical Design of Thermal Protection System Using Physics-Informed Neural Network cites this paper.

Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-10T00:50:57.201049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.