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Paper Citation Record · LEDGER

A Low-Cost Machine Learning Approach for Timber Diameter Estimation

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2507.17219.

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

pith.paper-citation-record.v1
2507.17219 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:57:55.658338Z

measured 59 of 59 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

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8c9115f-3241-44c8-82ae-5cb139fbc134 · outbound

This paper cites Advanced timber construction industry: A review of 350 multi-storey timber projects from 2000–2021.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Advanced timber construction industry: A review of 350 multi-storey timber projects from 2000–2021

Reference 1

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Observation cd2f9585-4ed6-46f0-8cd8-47e9502b58b7 · outbound

This paper cites Review of the charring rates of different timber species.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Review of the charring rates of different timber species

Reference 2

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Source-reported events for the cited work

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Observation 759a634b-78c9-4c1e-a1b3-abab0a17d8ce · outbound

This paper cites Mechanical properties and durability of some selected timber species.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Mechanical properties and durability of some selected timber species

Reference 3

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Observation 042066d3-1146-4e0e-9c6a-e3280c69ac2c · outbound

This paper cites Fracture mechanics in timber engineering–strength analyses of components and joints.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Fracture mechanics in timber engineering–strength analyses of components and joints

Reference 4

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Observation 0878d2c2-deb8-443e-82d0-0a5cf83d5416 · outbound

This paper cites Timber application in construction industry and its promotion.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Timber application in construction industry and its promotion

Reference 5

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Observation df104bb1-a4e2-4eab-b664-47c639b0cad9 · outbound

This paper cites Assessment of old timber members: Importance of wood species identification and direct tensile test information.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Assessment of old timber members: Importance of wood species identification and direct tensile test information

Reference 6

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Observation 8081d8ff-16fc-43fd-bd97-79831b58757d · outbound

This paper cites An analysis of timber sections and deep learning for wood species classification.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation An analysis of timber sections and deep learning for wood species classification

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 11956303-4cfa-4188-987f-c2f30918beb9 · outbound

This paper cites Walter de Gruyter, 2012.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Walter de Gruyter, 2012

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fe740f73-61fc-45de-befb-26a558d0182a · outbound

This paper cites Forensic timber identification: It’s time to integrate disciplines to combat illegal logging.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Forensic timber identification: It’s time to integrate disciplines to combat illegal logging

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1d58b9a3-4e58-4e02-88ab-a7f1cb48f510 · outbound

This paper cites Machine learning on dynamic graphs: a survey on applications.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Machine learning on dynamic graphs: a survey on applications

Reference 10

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Source-reported events for the cited work

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Observation bb76f799-cbc2-440d-a827-8e3c347ab271 · outbound

This paper cites A two-dimensional self-coordination mechanism of agents in a minority game.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation A two-dimensional self-coordination mechanism of agents in a minority game

Reference 11

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Source-reported events for the cited work

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Observation b213829e-1d32-461f-9bbf-aa118009721a · outbound

This paper cites Face recognition: A literature survey.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Face recognition: A literature survey

Reference 12

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verified fuzzy
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Source-reported events for the cited work

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Observation c61c85a9-5cec-4a69-a76e-484a1a6ead9a · outbound

This paper cites Temporal link prediction using graph embedding dynamics.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Temporal link prediction using graph embedding dynamics

Reference 13

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Source-reported events for the cited work

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Observation dc4fa2e5-828e-4de3-a9c7-b67e5e6c4f59 · outbound

This paper cites Fruit sorting robot based on color and size for an agricultural product packaging system.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Fruit sorting robot based on color and size for an agricultural product packaging system

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a74cce37-c048-479f-8888-ed9028e83225 · outbound

This paper cites Functionalized cellulose nanocrystals for enhanced wood protection: Synthesis, characterization, and performance.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Functionalized cellulose nanocrystals for enhanced wood protection: Synthesis, characterization, and performance

Reference 15

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Source-reported events for the cited work

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Observation 79e464fb-ab9d-484a-bd72-2117e86f9286 · outbound

This paper cites The Robustness of Structural Features in Species Interaction Networks.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation The Robustness of Structural Features in Species Interaction Networks

Reference 16

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verified exact
local_arxiv, observed 2026-08-06T14:57:55.744304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 82533db2-35be-4709-988c-09257dbcbbc1 · outbound

This paper cites Computer vision: algorithms and applications.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Computer vision: algorithms and applications

Reference 17

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Source-reported events for the cited work

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Observation 07d01cd0-7367-4c34-94e7-4a1463da318c · outbound

This paper cites Computer vision.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Computer vision

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 20c254a2-c092-44da-b5c3-6729c215d600 · outbound

This paper cites Computer vision.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Computer vision

Reference 19

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Source-reported events for the cited work

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Observation 198d3a42-fa9b-472d-8414-e93ed4ecc0db · outbound

This paper cites Deep learning for computer vision: A brief review.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Deep learning for computer vision: A brief review

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e21e542e-67d0-49fb-973d-8a0c5dc2d52a · outbound

This paper cites Open set recognition of timber species using deep learning for embedded systems.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Open set recognition of timber species using deep learning for embedded systems

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9d3e5b00-ca0a-42e5-9314-0ec024bc78fc · outbound

This paper cites Timber identification based on the grain structure using learning algorithms.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Timber identification based on the grain structure using learning algorithms

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba9aa903-8c54-4195-ba01-c619525b1e9d · outbound

This paper cites A sawn timber tree species recognition method based on am-sppresnet.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation A sawn timber tree species recognition method based on am-sppresnet

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7c974cfa-a230-4a1b-9d00-b6edee8b2d83 · outbound

This paper cites YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain

Reference 24

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Source-reported events for the cited work

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Observation fad7f8c2-720d-4c45-8a94-aea3715cdead · outbound

This paper cites Ap- plication of machine-learning methods in forest ecology: recent progress and future challenges.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Ap- plication of machine-learning methods in forest ecology: recent progress and future challenges

Reference 25

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Observation 24b15fe7-21b6-408b-9020-eee2cb79e386 · outbound

This paper cites Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d8a2afd-9809-4f53-8562-30d0f7b9201d · outbound

This paper cites A brief review of machine learning algorithms in forest fires science.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation A brief review of machine learning algorithms in forest fires science

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation df9b6e6a-d318-45b9-8d88-b78d5ef1e998 · outbound

This paper cites Machine learning assisted remote forestry health assessment: a comprehensive state of the art review.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Machine learning assisted remote forestry health assessment: a comprehensive state of the art review

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 69fe6cf1-080c-49cd-8968-fdfa2961ed7e · outbound

This paper cites Classification of thermally treated wood using machine learning techniques.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Classification of thermally treated wood using machine learning techniques

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 67770f0b-4584-46b5-b120-23ee87de378d · outbound

This paper cites Wood anatomy and classification of the myrtales.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Wood anatomy and classification of the myrtales

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bf9e9684-4d38-4d89-a597-edd428a04f17 · outbound

This paper cites Leaf and wood classification framework for terrestrial lidar point clouds.Methods in Ecology and Evolution, 10(5):680–694, 2019.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Leaf and wood classification framework for terrestrial lidar point clouds.Methods in Ecology and Evolution, 10(5):680–694, 2019

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ef48049b-c99d-46dc-a320-a2e63f0694b2 · outbound

This paper cites Comparison of wood classification using machine learning.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Comparison of wood classification using machine learning

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 66a1356e-f701-496f-adfe-a7ee69e2a890 · outbound

This paper cites Deep learning for use in lumber classification tasks.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Deep learning for use in lumber classification tasks

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7cac7d1a-f8a1-42a2-9fd7-6d7d9036b92e · outbound

This paper cites Cost and productivity impacts of product sorting on conventional ground-based timber harvesting operations.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Cost and productivity impacts of product sorting on conventional ground-based timber harvesting operations

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3b03c7e2-785c-43ca-8464-0c28bde65a24 · outbound

This paper cites Stand, stem and log segregation based on wood properties: a review.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Stand, stem and log segregation based on wood properties: a review

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.147953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.531361Z digest=sha256:f8e1a3a95d8f079b0a38df5e46dbd7e1b7823d8e675b75f1dbd160e29a60e04f

Observation 8081cbfb-53f8-4d9b-884f-cec40da44007 · outbound

This paper cites Analysis of modern wood processing techniques in timber terminals.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Analysis of modern wood processing techniques in timber terminals

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.131984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.536170Z digest=sha256:d44b0479a6ff1b471e602eb750541e0d192b14d9c7923b6165a72802fbd71df9

Observation da8c0baa-814e-467b-aa44-f2d203b3e3e3 · outbound

This paper cites Modeling of the process of collection, sorting and transportation of logging residues at the logging area.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Modeling of the process of collection, sorting and transportation of logging residues at the logging area

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.116323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.541236Z digest=sha256:2d6d4ae000b42e3f0324e49bda393d06bcbfb782a66da4770097cbd606a66c4f

Observation 54195de1-f056-44fe-a98f-6baea7c029c1 · outbound

This paper cites The effect of log sorting strategy on the forecasted lumber value after sawing pine wood.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation The effect of log sorting strategy on the forecasted lumber value after sawing pine wood

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.100247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.545858Z digest=sha256:e90bd3ac24847e75cdf7f73cc78fa6c58534cc7acb66fa0d2923deb29eed0fe9

Observation e285a8fe-a846-4cb2-ac96-60657d84a7d1 · outbound

This paper cites Processing and sorting forest residues: Cost, productivity and managerial impacts.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Processing and sorting forest residues: Cost, productivity and managerial impacts

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.081380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.550598Z digest=sha256:f58d9193c7cae57f8de0df8b65aae0c5da0e6944fd7b51140c79dfdc3dec7cb2

Observation 1af464cc-e364-4f3e-8a92-d169160a4eb1 · outbound

This paper cites Improved wood species identification based on multi-view imagery of the three anatomical planes.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Improved wood species identification based on multi-view imagery of the three anatomical planes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.059605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.556199Z digest=sha256:fd2ddaed8d4c9f9d3617bf5ef13492c4289ce5130e1127fad127bb3dfd411749

Observation f23fa327-28cb-4ede-8ecb-ff670fa26bac · outbound

This paper cites Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.041545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.564207Z digest=sha256:cfb000aa9a6ec7010f157a8930f5b5b83d72e04186f61203284f0d071151b6f5

Observation a73ce8de-3b2d-4b77-9166-e9b817280ec9 · outbound

This paper cites Automatic classification of native wood charcoal.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Automatic classification of native wood charcoal

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.026020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.569325Z digest=sha256:66707aeceb718a6cdef5bf5ee14f1284a83c876844013134ca40440b5d2f741a

Observation 7ac61692-8574-4ba5-9c76-923d0745eb49 · outbound

This paper cites Wood species recognition using glcm and correlation.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Wood species recognition using glcm and correlation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:56.010844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.574439Z digest=sha256:7f5897cefd4574caca497d82397cdfda8f0080f73710e1b999258efc345f4d04

Observation df3bdeec-ccca-4038-ad1b-d0fc6002bf0f · outbound

This paper cites Wood recognition based on grey-level co-occurrence matrix.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Wood recognition based on grey-level co-occurrence matrix

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.994926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.579400Z digest=sha256:1e33c9834df7d48a4f85ac855187429108c49da1b8315571221615af0b20a499

Observation 1761c489-0f52-4ee9-9106-f06851e58c56 · outbound

This paper cites A survey of convolutional neural networks: analysis, applications, and prospects.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation A survey of convolutional neural networks: analysis, applications, and prospects

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.979306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.584842Z digest=sha256:001428c99bbbda06d39c56e539cb932a908d58d988a200abbc5fcba4ca0f6a83

Observation e0e9dd73-6bd3-444d-b306-5fb285220eaf · outbound

This paper cites An Introduction to Convolutional Neural Networks.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation An Introduction to Convolutional Neural Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T14:57:55.592100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:55.592100Z digest=sha256:d41dbc15574020366e1f9a2bfffd7d134c500e8c18365220de01e2c76bed18aa

Observation 2f53e71e-4522-4ea0-aceb-3c21239a2a9d · outbound

This paper cites Tree log identification using convolutional neural networks.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Tree log identification using convolutional neural networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.963960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.599021Z digest=sha256:f9d75f53fd6d090eef5a709115caf94f05c5e062d0b2644de2c29ce0b8dcdabd

Observation cdbaf80e-24b2-40bc-ba92-4d511c762592 · outbound

This paper cites Evaluation of wood species identification using cnn-based networks at different magnifica- tion levels.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Evaluation of wood species identification using cnn-based networks at different magnifica- tion levels

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.947643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.603735Z digest=sha256:569b9e55fbda7a88f50cbd8d4db4ed039234d05aac80b2f2dc8610e1deb9bbdc

Observation 8d7db2f1-6f5c-4056-b714-650a70fe817e · outbound

This paper cites Performance of convolutional neural network (cnn) and performance influencing factors for wood species classification of lepidobalanus growing in korea.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Performance of convolutional neural network (cnn) and performance influencing factors for wood species classification of lepidobalanus growing in korea

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.932431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.608706Z digest=sha256:65ede38ef86116b052b24a7eebe3985cf3905685e5bc8b383a1637589f54be2d

Observation b9d81ca8-bb22-445b-928e-88d8e821e4c7 · outbound

This paper cites Wood identification based on macroscopic images using deep and transfer learning approaches.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Wood identification based on macroscopic images using deep and transfer learning approaches

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.916991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.613728Z digest=sha256:40e212b87903ff0072357ebef9700a301311a445f955f2496b423f16c23480cb

Observation 8937ab49-d67c-4256-b866-21e06fadb333 · outbound

This paper cites Wood species recognition with small data: A deep learning approach.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Wood species recognition with small data: A deep learning approach

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.901866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.618467Z digest=sha256:55c351e5c6cff12ba24a88ba84202aedb75373266e63529beb3f9acb9bb4a7b0

Observation 417cec2f-d6a2-42d2-a796-a517d4980de4 · outbound

This paper cites Object detection using yolo: Challenges, architectural successors, datasets and applications.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Object detection using yolo: Challenges, architectural successors, datasets and applications

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.886413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.623082Z digest=sha256:f707451668660663027e7a72ef85e4a03f7d6edf7236e60dc535af19ff95f701

Observation 03360a2e-2ca1-41f8-9796-8cd88fbd13b5 · outbound

This paper cites Agricultural object detection with you only look once (yolo) algorithm: A bibliometric and systematic literature review.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Agricultural object detection with you only look once (yolo) algorithm: A bibliometric and systematic literature review

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.867807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.628057Z digest=sha256:454b363024d6433f894e8e7a59106a53d6747eb872b88810a43589383d98dfff

Observation 289fc189-b18c-4237-b0ec-92b89591dd9f · outbound

This paper cites Lidar as a tool for assessing timber assortments: A systematic literature review.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Lidar as a tool for assessing timber assortments: A systematic literature review

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.851240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.632898Z digest=sha256:8ca0c6dfe8c5f049e459b32d50b92686aab1568bac7460a7c8b12b6b7cd95c11

Observation a50e1858-3c81-4c2a-9a0d-771e21c4228c · outbound

This paper cites Using lidar technology in forestry activities.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Using lidar technology in forestry activities

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.834534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.637493Z digest=sha256:8d64a7a5f2c8eee01ea3c9bbc467e6a57b6b0c94dd4a29792497504e5e1ba31d

Observation 574a023c-c46b-45d8-b06b-32b0822191ec · outbound

This paper cites ultralytics/yolov5: v3.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation ultralytics/yolov5: v3

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.815229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.642626Z digest=sha256:936420a415c0905fd896fa2edd3f2677b60e89a603d1bd9bfe41771a05d70a7f

Observation 0f6e409a-1d3e-478a-ae6a-9b427c4b773d · outbound

This paper cites Instance segmentation for autonomous log grasping in forestry operations.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Instance segmentation for autonomous log grasping in forestry operations

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.797629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.648080Z digest=sha256:e82e709fde7d8f770490a876203203a5e18d6ba15abd1cf9bc29da6623b373a4

Observation eb7a2564-23a3-4aca-b41d-224e653daa40 · outbound

This paper cites Transfer learning.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation Transfer learning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.778885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.653087Z digest=sha256:dee452b6c8e1afeb60f420d40b8c68e44b90eb60387f9e70fef1f8c45bd986a0

Observation 7cb4203e-8b3d-4a4c-9883-32a842f16535 · outbound

This paper cites A survey of transfer learning.

A Low-Cost Machine Learning Approach for Timber Diameter Estimation A survey of transfer learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:57:55.762635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T14:57:55.658338Z digest=sha256:9d374f829d488b711ed0bc30923013ad1afb935528ca47170838820909e4c5f5

Pith citing papers

No inbound Pith citation observations are available.