A Low-Cost Machine Learning Approach for Timber Diameter Estimation | Paper Citation Record

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.636777Z

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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.586413Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.548327Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.529761Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.513078Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.493321Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.472099Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.450296Z

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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

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

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.419612Z

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This paper cites Computer vision.

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

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.400681Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.364017Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.344423Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.328000Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.311800Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.295962Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.277684Z

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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; raw_fallback, observed 2026-08-06T14:57:56.261824Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.246044Z

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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; raw_fallback, observed 2026-08-06T14:57:56.230278Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:57:56.213899Z

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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; raw_fallback, observed 2026-08-06T14:57:56.197724Z

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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; raw_fallback, observed 2026-08-06T14:57:56.180782Z

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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; raw_fallback, observed 2026-08-06T14:57:56.164418Z

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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