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Monitoring the Work Cycles of Earthmoving Excavators in Earthmoving Projects Using UAV Remote Sensing

https://doi.org/10.3390/rs13193853

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What this work says

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Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks

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Using Hue, Saturation, and Value Color Space for Hydraulic Excavator Idle Time Analysis

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inferredcites →https://doi.org/10.3390/s21103427openalex-snapshot

Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Material handling machine activity recognition by context ensemble with gated recurrent units

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In-vehicle vision-based solid 3D reconstruction and capacity estimation for automated bulldozers in dynamic earthwork

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inferred← citeshttps://doi.org/10.1109/access.2023.3326101openalex-snapshot

A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning

inferred← citeshttps://doi.org/10.1109/access.2026.3716649openalex-snapshot

Design and Experimental Validation of an Excavator End-Effector Position Estimation Method Based on an On-Machine Multivariable Motion Sensor

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Feasibility Study of Rough Terrain Crane Electrification through Testing Campaign

inferred← citeshttps://doi.org/10.1134/s1052618824700481openalex-snapshot

Modeling Earthworks by an Excavator on an Extraction Site (Working Face)

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Methodology for Infrastructure Site Monitoring using Unmanned Aerial Vehicles (UAVs)

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PELATIHAN PENGGUNAAN UAV DALAM PENGAMBILAN GAMBAR PETA TOPOGRAFI PADA JURUSAN BKP SMKN 5 PEKANBARU

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Construction Equipment Monitoring Research: A Bibliometric and Scientometric Analysis of Trends and Emerging Directions

inferred← citeshttps://doi.org/10.3390/rs14133113openalex-snapshot

Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV

inferred← citeshttps://doi.org/10.3390/s22114170openalex-snapshot

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals

inferred← citeshttps://doi.org/10.3390/su151612358openalex-snapshot

Protocol Proposal for Data Collection and Processing in Productivity Assessment of Earthworks Using Audio-Visual and Location-Sensing Technology

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Navigating the Urgency: An Open Innovation Project of Protective Equipment Development from a Quadruple Helix Perspective

inferred← citeshttps://doi.org/10.3390/su16177294openalex-snapshot

Machine Cost-Effectiveness in Earthworks: Early Warning System and Status of the Previous Work Period

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TÉCNICAS PARA MOVIMENTAÇÃO DE TERRA: ESTUDO EM UM LOTEAMENTO RESIDENCIAL DA CIDADE DE PAULÍNIA – SP

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.