Reference health
A Novel Approach for Counting Wood Logs Using Cgans and Image Processing Techniques
15/15 checkable references clean · checked 2026-08-29
Every reference with a DOI or an arXiv id in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
20 with no DOI or arXiv id: not checked. A reference deposited without a DOI is checked only when it names an arXiv id, under that id’s DataCite DOI. The rest are never matched by title or guessed at; they stay outside the checked set, and this line says so.
The 15 checked references that resolve
resolves10.1109/ICICIC.2007.362
Intelligent Vehicle Counting Method Based on Blob Analysis in Traffic Surveillance
resolves10.1145/3232651.3232667
Automatic Detection of Round Timber in Digital Images Using Random Decision Forests Algorithm
resolves10.1016/j.neunet.2020.07.031
MetalGAN: Multi-domain label-less image synthesis using cGANs and meta-learning
resolves10.3390/app9122418
Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry
resolves10.3390/s20010043
Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation
resolves10.1109/JSEN.2017.2671457
A Real Time Object Recognition and Counting System for Smart Industrial Camera Sensor
resolves10.1007/978-981-15-2414-1_9
Deep Learning Models for Analysis of Traffic and Crowd Management from Surveillance Videos
resolves10.1109/ICCV.2017.467
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
resolves10.1016/j.compmedimag.2020.101801
Memory-efficient GAN-based domain translation of high resolution 3D medical images
The 20 references with no DOI or arXiv id, listed, not checked
no DOI — not checkedVehicle counting for traffic management system using yolo and correlation filter
no DOI — not checkedAn implementation of moving object detection, tracking and counting objects for traffic surveillance system
no DOI — not checkedref10
no DOI — not checkedImage-to-image translation with conditional adversarial networks
no DOI — not checkedref12
no DOI — not checkedOn the limits of conditional generative adversarial neural networks to reconstruct the identification of inhabitants from iot low-resolution thermal sensors
no DOI — not checkedAutomated log counting: proof of concept algorithm
no DOI — not checkedLoglidar: an internet of things solution for counting and scaling logs
no DOI — not checkedref18
no DOI — not checkedref19
no DOI — not checkedref20
no DOI — not checkedref21
no DOI — not checkedMachine learning applied to emerald gemstone grading: framework pro-posal and creation of a public dataset
no DOI — not checkedImage processing technique to count the number of logs in a timber truck
no DOI — not checkedYou only look once: Unified, real-time object detection
no DOI — not checkedref25
no DOI — not checkedLog-end cut-area detection in images taken from rear end of eucalyptus timber trucks
no DOI — not checkedApplication of some valid methods in logs counting system based on digital image processing
no DOI — not checkedA people counting system based on headshoulder detection and tracking in surveillance video
no DOI — not checkedAge progression/regression by conditional adversarial autoencoder
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. If Crossref’s record marks the work itself
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about the quality, findings, or importance of the work itself, and nothing about references
with neither a DOI nor an arXiv id.
checked 2026-08-29 — re-checked at most once a day, when someone opens this page, so the date shown is the last check; titles and statuses come from Crossref and DataCite and are not part of the signed record
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