Paper Citation Record · LEDGER

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2411.08171.

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

pith.paper-citation-record.v1
2411.08171 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:58:57.458324Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

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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

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c47f5878-2454-461e-b8b2-e9202ef6d3ad · outbound

This paper cites SegNet: A segmented deep learning based convolutional neural network approach for drones wildfire detection,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection SegNet: A segmented deep learning based convolutional neural network approach for drones wildfire detection,

Reference 1

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Observation 7b4fcb0b-cb0c-4260-bad7-36717571f8e5 · outbound

This paper cites A novel custom optimized convolutional neural network for a satellite image by using forest fire detection,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection A novel custom optimized convolutional neural network for a satellite image by using forest fire detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:58:57.977790Z

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Observation ae7098e3-c266-4170-a5ac-325faf815a97 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Imagenet: A large-scale hierarchical image database,

Reference 3

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This paper cites A comprehensive survey on transfer learning,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection A comprehensive survey on transfer learning,

Reference 4

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Observation 93ff23e8-fc3a-44f2-a815-f0b0f7e375ee · outbound

This paper cites A survey on transfer learning,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection A survey on transfer learning,

Reference 5

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Observation c0e9e01f-5c2a-410d-92c9-e299e39a8241 · outbound

This paper cites A geometric nonlinear stochastic filter for simultaneous localization and mapping,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection A geometric nonlinear stochastic filter for simultaneous localization and mapping,

Reference 6

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Observation edc12577-ccda-401a-a280-9b3dca036d6a · outbound

This paper cites UWB ranging and IMU data fusion: Overview and nonlinear stochastic filter for inertial navigation,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection UWB ranging and IMU data fusion: Overview and nonlinear stochastic filter for inertial navigation,

Reference 7

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Observation e6c06b82-114d-4b25-8457-724f268bf397 · outbound

This paper cites Exponentially stable observer-based controller for VTOL-UA Vs without velocity measurements,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Exponentially stable observer-based controller for VTOL-UA Vs without velocity measurements,

Reference 8

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Observation dfdcb518-39e6-4da1-bc11-5fc348bfb182 · outbound

This paper cites Deep Reinforcement Learning for sim-to-real policy transfer of VTOL-UA Vs offshore docking opera- tions,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Deep Reinforcement Learning for sim-to-real policy transfer of VTOL-UA Vs offshore docking opera- tions,

Reference 9

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Source-reported events for the cited work

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Observation 7f062ae7-d324-4a87-a672-57707845a1ce · outbound

This paper cites Quaternion-based adaptive backstepping fast terminal sliding mode control for quadrotor UA Vs with finite time convergence,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Quaternion-based adaptive backstepping fast terminal sliding mode control for quadrotor UA Vs with finite time convergence,

Reference 10

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Source-reported events for the cited work

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Observation 36f08bd9-8c92-4155-958e-5d465b448b9b · outbound

This paper cites Geometric stochastic filter with guaranteed performance for autonomous navigation based on IMU and feature sensor fusion,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Geometric stochastic filter with guaranteed performance for autonomous navigation based on IMU and feature sensor fusion,

Reference 11

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Observation 01b6f1b7-3d71-4854-86d4-ef90a8e795e7 · outbound

This paper cites Observer-based controller for VTOL-UA Vs tracking using direct vision-aided inertial navigation measurements,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Observer-based controller for VTOL-UA Vs tracking using direct vision-aided inertial navigation measurements,

Reference 12

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Observation d64a4255-fb80-49bd-97eb-e1e98b9f177c · outbound

This paper cites UA V avionics safety, certification, accidents, redundancy, integrity and reli- ability: A comprehensive review and future trends,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection UA V avionics safety, certification, accidents, redundancy, integrity and reli- ability: A comprehensive review and future trends,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:58:57.807718Z

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Observation 8360d333-9150-4d4f-a40d-c979b1f535b4 · outbound

This paper cites Electronic warfare cyberattacks, countermeasures and defensive aids of UA V avionics: A survey,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Electronic warfare cyberattacks, countermeasures and defensive aids of UA V avionics: A survey,

Reference 14

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Observation f6fb2c19-a5dc-40b9-8b24-63c7fb3ee8bf · outbound

This paper cites Transfer learning techniques for medical image anal- ysis: A review,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Transfer learning techniques for medical image anal- ysis: A review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:58:57.771569Z

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Observation b4d051de-b9df-4ebd-aa40-3fb8e3d0ac80 · outbound

This paper cites Transfer learning-based dynamic multiobjective optimization algorithms,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Transfer learning-based dynamic multiobjective optimization algorithms,

Reference 16

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Observation 5161ab4e-1bef-4943-93d0-b1efa478e501 · outbound

This paper cites Fine-tuning convolutional neural networks for fine art classification,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Fine-tuning convolutional neural networks for fine art classification,

Reference 17

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Observation 9f2b230c-0848-415b-8878-f1ad3c89908b · outbound

This paper cites Machine learning in disaster management: recent developments in methods and applications,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Machine learning in disaster management: recent developments in methods and applications,

Reference 18

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This paper cites Pre-trained language models in biomedical domain: A systematic survey,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Pre-trained language models in biomedical domain: A systematic survey,

Reference 19

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Observation 35eb0ab1-1a4c-4a23-8945-346a7f173ab2 · outbound

This paper cites A thorough review of models, evaluation metrics, and datasets on image captioning,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection A thorough review of models, evaluation metrics, and datasets on image captioning,

Reference 20

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Observation 062b4c7e-86f2-4666-acf1-25b36d1dda44 · outbound

This paper cites Analysis of deep learning methods for early wildfire detection systems,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Analysis of deep learning methods for early wildfire detection systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:58:57.674553Z

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Observation 10e1a8c8-351d-4a22-a784-127f29ef8b9f · outbound

This paper cites Transferability in Deep Learning: A Survey.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Transferability in Deep Learning: A Survey

Reference 22

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Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Imagenet: A large-scale hierarchical image database,

Reference 23

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Observation 07e8f94d-0c27-4009-85fc-c11d7061a80e · outbound

This paper cites DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Reference 24

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This paper cites Identity mappings in deep residual networks,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Identity mappings in deep residual networks,

Reference 25

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Observation ee1add62-0221-4525-bb49-dab9e768d1a0 · outbound

This paper cites Unmanned aerial vehi- cles for wildland fires: Sensing, perception, cooperation and assistance,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Unmanned aerial vehi- cles for wildland fires: Sensing, perception, cooperation and assistance,

Reference 26

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Observation 62a37fcd-af7e-4bcd-8436-3ce1eeb39281 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

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This paper cites An autoencoder with convolutional neural network for surface defect detection on cast components,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection An autoencoder with convolutional neural network for surface defect detection on cast components,

Reference 28

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This paper cites Ethical issues in research using datasets of illicit origin,.

Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Ethical issues in research using datasets of illicit origin,

Reference 29

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Observation 3ff1f55b-6e5c-4825-9619-406317c7196b · outbound

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Comprehensive and Comparative Analysis between Transfer Learning and Custom Built VGG and CNN-SVM Models for Wildfire Detection Imagenet classification with deep convolutional neural networks,

Reference 30

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Source-reported events for the cited work

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Pith citing papers

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