On the public citation graph

Method for Calculating Tunnel Blasting Rock Block Dimensions Based on Concavity feature Detection

0 signed · 36 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00881252openalex-extracted
Characterization of underground rock fragmentation
inferredcites →https://doi.org/10.1007/s00603-005-0044-9openalex-extracted
Comparison of Fragmentation Measurements by Photographic and Image Analysis Techniques
inferredcites →https://doi.org/10.1007/s00603-020-02360-4openalex-extracted
A New Approach to Represent Impact of Discontinuity Spacing and Rock Mass Description on the Median Fragment Size of Blasted Rocks Using Image Analysis of Rock Mass
inferredcites →https://doi.org/10.1007/s00603-023-03623-6openalex-extracted
Classifying Rock Fragments Produced by Tunnel Boring Machine Using Optimized Convolutional Neural Network
inferredcites →https://doi.org/10.1007/s10706-023-02594-3openalex-extracted
Soft Computing Applications for Optimum Rock Fragmentation: An Advanced Overview
inferredcites →https://doi.org/10.1016/j.autcon.2021.103612openalex-extracted
Classification of rock fragments produced by tunnel boring machine using convolutional neural networks
inferredcites →https://doi.org/10.1016/j.autcon.2021.103685openalex-extracted
Automatic segmentation of TBM muck images via a deep-learning approach to estimate the size and shape of rock chips
inferredcites →https://doi.org/10.1016/j.autcon.2024.105276openalex-extracted
Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation
inferredcites →https://doi.org/10.1016/j.ijrmms.2014.02.010openalex-extracted
Statistical estimation of blast fragmentation by applying stereophotogrammetry to block piles
inferredcites →https://doi.org/10.1016/j.ijrmms.2014.08.007openalex-extracted
Size distribution functions for rock fragments
inferredcites →https://doi.org/10.1016/j.ijrmms.2015.12.005openalex-extracted
Block delineation algorithm for rock fragmentation analysis
inferredcites →https://doi.org/10.1016/j.ijrmms.2021.104710openalex-extracted
Quantitative analysis of shapes and specific surface area of blasted fragments using image analysis and three-dimensional laser scanning
inferredcites →https://doi.org/10.1016/j.ijrmms.2021.104839openalex-extracted
A deep learning approach for rock fragmentation analysis
inferredcites →https://doi.org/10.1016/j.ijrmms.2022.105250openalex-extracted
An uncertainty hybrid model for risk assessment and prediction of blast-induced rock mass fragmentation
inferredcites →https://doi.org/10.1016/j.ijrmms.2023.105433openalex-extracted
Modelling the relationship between oversize fragments and nature of rock mass for a sublevel caving operation
inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.01.011openalex-extracted
Octree-based region growing for point cloud segmentation
inferredcites →https://doi.org/10.1016/j.jag.2021.102338openalex-extracted
Fragmentation calculation method for blast muck piles in open-pit copper mines based on three-dimensional laser point cloud data
inferredcites →https://doi.org/10.1016/j.jrmge.2019.03.001openalex-extracted
A review of development of better prediction equations for blast fragmentation
inferredcites →https://doi.org/10.1016/j.jrmge.2020.05.010openalex-extracted
Application of artificial intelligence to rock mechanics: An overview
inferredcites →https://doi.org/10.1016/j.jrmge.2021.07.013openalex-extracted
Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
inferredcites →https://doi.org/10.1016/j.jsm.2019.08.003openalex-extracted
Application of digital image analysis for monitoring the behavior of factors that control the rock fragmentation in opencast bench blasting: A case study conducted over four opencast coal mines of the Talcher Coalfields, India
inferredcites →https://doi.org/10.1016/j.measurement.2023.113207openalex-extracted
Size measurement of blasted rock fragments based on FRRSnet+
inferredcites →https://doi.org/10.1016/j.powtec.2018.10.006openalex-extracted
Determining the fragmented rock size distribution using textural feature extraction of images
inferredcites →https://doi.org/10.1016/j.procs.2020.04.045openalex-extracted
Segmentation of 3D Point Cloud Data Based on Supervoxel Technique
inferredcites →https://doi.org/10.1016/j.simpat.2023.102854openalex-extracted
Numerical investigation on optimal blasting parameters of tunnel face in granite rock
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-extracted
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1076/frag.6.3.311.14051openalex-extracted
Improvements in Blast Fragmentation Models Using Digital Image Processing
inferredcites →https://doi.org/10.1076/frag.6.3.321.14049openalex-extracted
Fragmentation Assessment using the FragScan System: Quality of a Blast
inferredcites →https://doi.org/10.1109/34.3881openalex-extracted
Segmentation through variable-order surface fitting
inferredcites →https://doi.org/10.1109/access.2021.3072998openalex-extracted
Superpixel Image Segmentation-Based Particle Size Distribution Analysis of Fragmented Rock
inferredcites →https://doi.org/10.1109/cvpr.2013.264openalex-extracted
Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
inferredcites →https://doi.org/10.1109/cvpr.2014.46openalex-extracted
Object Partitioning Using Local Convexity
inferredcites →https://doi.org/10.1109/robot.2006.1642160openalex-extracted
Efficient continuous collision detection for bounding boxes under rational motion
inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-extracted
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
inferredcites →https://doi.org/10.1145/2421636.2421645openalex-extracted
Edge-aware point set resampling
inferredcites →https://doi.org/10.4197/eng.20-2.4openalex-extracted
Measurement of Size Distribution of Blasted Rock Using Digital Image Processing
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.