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Minimizing Cr-Evaporation From Balance Of Plant Components By Utilizing Cost-Effective Alumina-Forming Austenitic Steels, Lingfeng Zhou Jan 2022

Minimizing Cr-Evaporation From Balance Of Plant Components By Utilizing Cost-Effective Alumina-Forming Austenitic Steels, Lingfeng Zhou

Graduate Theses, Dissertations, and Problem Reports (ETD)

A solid oxide fuel cell (SOFC) is a clean and efficient energy conversion device. The development of intermediate-temperature SOFCs has made it preferable to use metallic interconnects (MICs) to greatly reduce the cost and significantly increase the efficiency compared to ceramic interconnect materials. However, gaseous chromium species will evaporate from the chromium-containing layer formed on the surface of commonly used MICs and balance of plant (BoP) components. Volatile chromium species have been shown to form solid deposits which poison the cathodes of SOFCs, causing drastic cell performance degradation and thereby limiting commercialization. In order to alleviate the Cr poisoning and …


Examining The Pulmonary Response To Repeated Vishniacozyma Victoriae Exposure And Its Association With Allergic Airway Disease, Rachael Erin Rush Jan 2022

Examining The Pulmonary Response To Repeated Vishniacozyma Victoriae Exposure And Its Association With Allergic Airway Disease, Rachael Erin Rush

Graduate Theses, Dissertations, and Problem Reports (ETD)

Allergic airway diseases such as asthma continue to increase in incidence in industrialized nations like the United States. These diseases are complex inflammatory processes involving numerous cells and mediators and are strongly influenced by fungal exposures. Recent developments in fungal detection methods have highlighted the contribution of Basidiomycota yeast species in indoor environments such as Vishniacozyma (syn. Cryptococcus) victoriae. However, despite the high levels of this yeast detected in indoor environments, very little is known about it or its role in respiratory morbidity. V. victoriae is phylogenetically similar to pathogenic Cryptococcus neoformans but lacks a capsule and is …


Small Mammal Communities Of Restored And Natural Wetlands In West Virginia, Krista Noe Jan 2022

Small Mammal Communities Of Restored And Natural Wetlands In West Virginia, Krista Noe

Graduate Theses, Dissertations, and Problem Reports (ETD)

Wetland restoration is commonly practiced as part of conservation programs or wetland mitigation, which attempts to offset human-created losses of natural wetlands. However, because of the intrinsic and human-derived value of wetlands, it is critical to determine whether these wetlands truly act similarly to natural wetlands. One role of wetlands is to provide habitat for a diverse array of wildlife species. Small mammals are often overlooked taxa in wetland restoration efforts. However, they are essential to the wetland system because they influence vegetation and are prey for higher trophic level wildlife. I discuss considerations of restored wetlands, wildlife responses to …


Examining The Relationship Among Perceived Academic Climate, Belongingness, And Engineering Identity, Sumaia Ali Raisa Jan 2022

Examining The Relationship Among Perceived Academic Climate, Belongingness, And Engineering Identity, Sumaia Ali Raisa

Graduate Theses, Dissertations, and Problem Reports (ETD)

An attempt to cultivate an inclusive learning environment in engineering is trending as a response to women's underrepresentation and a lower retention rate than men undergraduates. This study was situated in such an undergraduate engineering program where interventions were embedded in the course curriculum focusing on cultivating an inclusive engineering identity. Following a sociocultural perspective, the present study aimed to examine the relation of engineering identity with perceived academic climate, sense of belonging, and gender among two engineering cohorts (before covid and during covid context). A total of 482 first-year engineering undergraduates' survey responses were analyzed in this study using …


Transitions Between The Steps Of Group Iic Intron Forward And Reverse Splicing And Integration Into Dna, Claire Mae Smathers Jan 2022

Transitions Between The Steps Of Group Iic Intron Forward And Reverse Splicing And Integration Into Dna, Claire Mae Smathers

Graduate Theses, Dissertations, and Problem Reports (ETD)

Group II introns are ancient ribozymes capable of self-excision and mobility into new genomic locations. As the ancestors of both the eukaryotic spliceosome and eukaryotic retroelements, these simple RNA machines serve as excellent models for understanding the mechanisms of both gene splicing and retroelement activity in eukaryotes. Although group II introns have been studied for decades, knowledge of the most unique and arguably evolutionarily relevant class of group II introns, IIC, is limited. Our knowledge is especially limited in terms of understanding how IIC introns mediate the transition between the two transesterification steps of forward splicing and reverse splicing into …


Investigation Of Geomechanical Behavior Of Laminated Rock Mass Through Experimental And Numerical Approach, Qingwen Shi Jan 2022

Investigation Of Geomechanical Behavior Of Laminated Rock Mass Through Experimental And Numerical Approach, Qingwen Shi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Roof failure in the Appalachian underground coal fields occurs often in laminated shale. Laminated shale roof in coal mines fails in unique ways, such as cutter failure or delamination failure. Extensive studies have investigated the influential factors that cause laminated roof failure, which include in-situ stress, entry layout, roof span, and roof support. However, cutter failure continues to occur frequently and erratically. This is due to the lack of in-depth understanding of the inherent properties of the laminations, such as bedding plane strength, matrix strength, and bedding plane spacing, which in turn influence the geomechanical behavior of the laminated rock. …


Reinforcement Learning For Process Control: Applications To Energy Systems, Elijah Ballard Hedrick Jan 2022

Reinforcement Learning For Process Control: Applications To Energy Systems, Elijah Ballard Hedrick

Graduate Theses, Dissertations, and Problem Reports (ETD)

Reinforcement learning (RL) is a machine learning method that has recently seen significant research activity owing to its successes in the areas of robotics and gameplaying (Silver et al., 2017). However, significant challenges exist in the extension of these control methods to process control problems, where state and input signals are nearly always continuous and more stringent performance guarantees are required. The goal of this work is to explore ways that modern RL algorithms can be adapted to handle process control problems; avenues for this work include using RL with existing controllers such as model predictive control (MPC) and adapting …


Phenomic And Genetic Controls Of The Drought Stress Response In Sorghum, Melissa A. Lehrer Jan 2022

Phenomic And Genetic Controls Of The Drought Stress Response In Sorghum, Melissa A. Lehrer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Drought, one of the most common abiotic stressors, is a result of the precipitation and temperature fluctuations influenced by climate change. As consistent weather patterns are crucial for the maintenance of crop yield, drought threatens food security through its impact on plant growth and development. It is essential to ensure the quality, availability, and affordability of grain-based products in the face of climate change due to expectations of population growth. Therefore, shedding light on the mechanisms associated with drought tolerance is integral to maintaining agricultural production under water-limited conditions. My dissertation work aimed to uncover the morphological, physiological, and genetic …


Development Of Machine Learning Algorithm To Identify High-Emitters From On-Road Data For Heavy-Duty (Hd) Vehicles, Filiz Kazan Jan 2022

Development Of Machine Learning Algorithm To Identify High-Emitters From On-Road Data For Heavy-Duty (Hd) Vehicles, Filiz Kazan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The process of on-road, heavy-duty engine family certification is regulated by the United States Environmental Protection Agency (US EPA). Currently, the US EPA 2010 emissions standards require the threshold from the Federal Testing Procedure (FTP) engine dynamometer cycle to be at or below a brake-specific NOx (bs-NOx) value of 0.20 g/bhp-hr for heavy-duty (HD) engines. The engine manufacturers are also required to conduct in-use portable emission measurement system (PEMS) testing to prove their products' compliance. The selected vehicles are required to satisfy not-to-exceed (NTE) analysis under normal driving conditions in the heavy-duty in-use testing (HDIUT) program. California …


Performance Of Peltier Cooled Technology During Preconcentration Of Volatile Organic Compounds Analyzed By Gas Chromatography-Mass Spectrometry (Gc-Ms) Using Niosh Manual Of Analytical Methods (Nmam) 3900, Elizabeth Ann Fernandez Jan 2022

Performance Of Peltier Cooled Technology During Preconcentration Of Volatile Organic Compounds Analyzed By Gas Chromatography-Mass Spectrometry (Gc-Ms) Using Niosh Manual Of Analytical Methods (Nmam) 3900, Elizabeth Ann Fernandez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Using evacuated canisters for whole-air sampling allows for sampling without specific knowledge of the environment and potential analytes. Evacuated canisters are able to tolerate concentrations ranging from parts per trillion (PPT) to parts per million (PPM). The U.S. Environmental Protection Agency (EPA) has used evacuated canisters for years to sample volatile organic compounds (VOCs) from ambient air using their method TO-15 (LeBouf, et al., 2019). The GC-MS system used for the development of NMAM 3900 used liquid nitrogen to cool sorbent traps in the preconcentrator. Liquid nitrogen allows for cooling of specified points below ambient temperature. An alternative to liquid …


Machine Learning Approach To Health Risk Determination, Levi Butcher Cole Jan 2022

Machine Learning Approach To Health Risk Determination, Levi Butcher Cole

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the United States, cardiovascular disease is the leading cause of death for both men and women. The factors that contribute to heart disease are well known but it is still an ever-evolving field of research. The possible benefits to being able to determine an individual’s Health Risk could provide the early insights needed to combat cardiovascular disease. However, two major problems within this area are the public availability of a dataset and the label imbalances for the dataset. In this thesis, we present a framework for exploring health risk using a combination of the NHANES dataset and open-source machine …


Low-Temperature Hot Corrosion Of Boilers In The Coal-Fired Power Plant, Artem Gavrilev Jan 2022

Low-Temperature Hot Corrosion Of Boilers In The Coal-Fired Power Plant, Artem Gavrilev

Graduate Theses, Dissertations, and Problem Reports (ETD)

Hot corrosion of materials has remained a relevant topic since its introduction in the second half of the 20th century as gas turbine engines suffered severe corrosion during operation over seawater. Hot corrosion is observed in a multitude of high temperature components, such as gas turbines, power plants, refineries, fluidized bed combustion systems, pipelines, and industrial waste incinerators.

Hot corrosion experiments in the laboratory have been conducted under constant temperatures of interest, while in the actual working conditions of coal-fired power plants, boiler tubes are cooled down via water cooling from a relatively high fireside temperature, e.g., 1000°C. To investigate …


Computational Analysis Of The Stability Limits Of Premixed Methane-Air Combustion In Micro-Channels, Almoutazbellah Adnan Kutkut Jan 2022

Computational Analysis Of The Stability Limits Of Premixed Methane-Air Combustion In Micro-Channels, Almoutazbellah Adnan Kutkut

Graduate Theses, Dissertations, and Problem Reports (ETD)

Technological progress in the last decades facilitated the development of integrated microsystem devices, including electrical and mechanical components for micro-electro-mechanical systems (MEMS). Such systems necessitate an external power supply, but typical batteries yet have some unavoidable limitations. To address this problem, numerous studies have been conducted to develop alternatives powered by micro combustion – in order to effectively utilize the high-density energy of hydrocarbon fuels. Such a global need has resulted in much more attention devoted to the combustion-based micro-power generation systems. However, to better understand the typical combustion characteristics in such microscale systems, design and performance restrictions need to …


Direct Ink Writing Printability – Ashby-Like Plots For Guided Design, Domenic Cipollone Jan 2022

Direct Ink Writing Printability – Ashby-Like Plots For Guided Design, Domenic Cipollone

Graduate Theses, Dissertations, and Problem Reports (ETD)

Direct Ink Writing (DIW), an extrusion-based 3D printing technique, offers a broad application space. As such, the technique continues to find use in biomedical, flexible electronic, ceramic, and energy device applications, among others. With this broad application space comes an expanding material library of inks with diverse rheological and microstructural properties. This begs the question: what constitutes a printable ink? How does one define printability? And how does one design for printability?

Researchers currently have a broad understanding of what constitutes a printable ink. However, time and time again, inks with unique rheological properties and formulations are printed. Currently, ink …


Development Of A Thermal Desalination System Using Low Quality Thermal Energy, Takudzwa C. Chipunza Jan 2022

Development Of A Thermal Desalination System Using Low Quality Thermal Energy, Takudzwa C. Chipunza

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Development of a Thermal Desalination System Using Low Quality Thermal Energy

Takudzwa Chipunza

The blowdown water from the cooling tower of the power plant and the produced water from shale gas industry cannot be disposed directly to the environment as they may contain dissolved solids that are harmful to the environment. A detailed physical and chemical process to remove the mineral and organic solids has been developed in West Virginia University. Such a process includes running the blowdown and produced water through a softening tank, activated carbon tank, and a reverse osmosis (RO) system. The RO reject contains a …


Developing Artificial Intelligence Tools To Investigate The Phenotypes And Correlates Of Chronic Kidney Disease Patients In West Virginia, Marzieh Amiri Shahbazi Jan 2022

Developing Artificial Intelligence Tools To Investigate The Phenotypes And Correlates Of Chronic Kidney Disease Patients In West Virginia, Marzieh Amiri Shahbazi

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Developing Artificial Intelligence tools to investigate the phenotypes and correlates of Chronic Kidney Disease patients in West Virginia

Marzieh Amiri Shahbazi

Chronic kidney disease (CKD) is responsible for disrupting the lives of 37 million people just in the USA, which is about 1 in 7 adults. CKD results in a gradual loss of kidney function over time. Sometimes CKD doesn’t produce any significant symptoms until it reaches an advanced stage. On the other hand, acute kidney injury (AKI) accounts for a sudden decline in the kidney’s function. As a result, the kidneys fail to filter waste materials from the …


Face Representation Learning And Its Applications: From Image Editing To 3d Avatar Animation, Xudong Liu Jan 2022

Face Representation Learning And Its Applications: From Image Editing To 3d Avatar Animation, Xudong Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Face representation learning is one of the most popular research topics in the computer vision community, as it is the foundation of face recognition and face image generation. Numerous representation learning frameworks have been integrated into applications in daily life, such as face recognition, image editing, and face tracking. Researchers have developed advanced algorithms for face recognition with successful commercial productions, for example, FaceID on the smartphone. The performance record on face recognition is constantly updated and becoming saturated with the help of large-scale datasets and advanced computational resources. Thanks to the robust representation in face recognition, in this dissertation, …


Precise Landing Of Vtol Uavs Using A Tether, Jeremy W. Rathjen Jan 2022

Precise Landing Of Vtol Uavs Using A Tether, Jeremy W. Rathjen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Unmanned Aerial Vehicles (UAVs), also known as drones, are often considered the solution to complex robotics problems. The significant freedom to explore an environment is a major reason why UAVs are a popular choice for automated solutions. UAVs, however, have a very limited flight time due to the low capacity and weight ratio of current batteries. One way to extend the vehicles' flight time is to use a tether to provide power from external batteries, generators on the ground, or another vehicle. Attaching a tether to a vehicle may constrain its navigation but it may also create some opportunities for …


Multi-Task Neuromuscular Generalization And Changes Through The Lifespan, Hannah Delaney Carey Jan 2022

Multi-Task Neuromuscular Generalization And Changes Through The Lifespan, Hannah Delaney Carey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Mobility in everyday life requires executing and shifting between a broad assortment of functional tasks and resisting disturbances that could cause falls. Though the importance of successfully performing a variety of functional tasks is recognized and incorporated in clinical assessments (e.g., the Timed-Up-and-Go Test, Berg Balance Scale), little is understood about the underlying neuromuscular control required, or how it changes with age. The neuromuscular control for functional tasks such as walking is typically studied in isolation, or with variations on the same task. Characterizing the coordination required to produce and shift between a wider variety of tasks and resist external …


Bottleneck Management Through Strategic Sequencing In Smart Manufacturing Systems, Sayantee Roy Jan 2022

Bottleneck Management Through Strategic Sequencing In Smart Manufacturing Systems, Sayantee Roy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nowadays, industries put a significant emphasis on finding the optimum order for carrying out jobs in sequence. This is a crucial element in determining net productivity. Depending on the demand criterion, all production systems, including flexible manufacturing systems, follow a predefined sequence of job-based machine operations. The complexity of the problem increases with increasing machines and jobs to sequence, demanding the use of an appropriate sequencing technique. The major contribution of this work is to modify an existing algorithm with a very unusual machine setup and find the optimal sequence which will really minimize the makespan. This custom machine setup …


The Use Of Neural Networks In Accelerating Small Molecule Docking Of Gpcrs, John Barber Jan 2022

The Use Of Neural Networks In Accelerating Small Molecule Docking Of Gpcrs, John Barber

Graduate Theses, Dissertations, and Problem Reports (ETD)

Docking simulations are a vital virtual screening technique to identify potential drug candidates by predicting the binding score and position for protein-ligand interactions. As ligand libraries expand into the billions, the number of groups able to run these simulations decreases drastically. Here we propose a simple methodology allowing for more accessibility of docking large ligand libraries. This method uses simple molecular features and unsupervised learning to cluster like molecules. These clusters are then randomly sampled, creating a training set. A model is trained using the bag of bonds method and a simple neural network to predict the binding affinity of …


System Development Of An Unmanned Ground Vehicle And Implementation Of An Autonomous Navigation Module In A Mine Environment, Jonas Amoama Bredu Jnr Jan 2022

System Development Of An Unmanned Ground Vehicle And Implementation Of An Autonomous Navigation Module In A Mine Environment, Jonas Amoama Bredu Jnr

Graduate Theses, Dissertations, and Problem Reports (ETD)

There are numerous benefits to the insights gained from the exploration and exploitation of underground mines. There are also great risks and challenges involved, such as accidents that have claimed many lives. To avoid these accidents, inspections of the large mines were carried out by the miners, which is not always economically feasible and puts the safety of the inspectors at risk. Despite the progress in the development of robotic systems, autonomous navigation, localization and mapping algorithms, these environments remain particularly demanding for these systems. The successful implementation of the autonomous unmanned system will allow mine workers to autonomously determine …


Noise Exposure Trends Among Violating Coal Mines, 2000 To 2021, Hanna Grace Davis Jan 2022

Noise Exposure Trends Among Violating Coal Mines, 2000 To 2021, Hanna Grace Davis

Graduate Theses, Dissertations, and Problem Reports (ETD)

Noise-induced hearing loss has continued to be a significant issue within the mining industry, even after the passing of the MSHA’s improved noise standard in 2000. NIOSH has recognized that the noise standard enacted by both MSHA and OSHA does not properly protect workers with the 5 dBA exchange rate (i.e., the increase in noise level leading to a doubling of energy) and the lack of emphasizing the use of engineering controls over administrative controls and overreliance on hearing protection device usage. The primary objective of this study is to investigate statistical sound relationships between MSHA noise-related violations and samples …


Calcite Depression In Bastnaesite-Calcite Flotation System Using Organic Acids, Emmy Muhoza Jan 2022

Calcite Depression In Bastnaesite-Calcite Flotation System Using Organic Acids, Emmy Muhoza

Graduate Theses, Dissertations, and Problem Reports (ETD)

Bastnaesite is the primary source of light REEs, namely cerium (Ce), lanthanum (La), praseodymium (Pr), neodymium (Nd), to name a few. Bastnaesite is typically concentrated using the froth flotation beneficiation method. Flotation of bastnaesite suffers from high reagent consumption due to the similar surface characteristics of bastnaesite and associated gangue minerals, including calcite. Additionally, complex stages of high-temperature conditioning are often required to suppress the detrimental impact of dissolved calcium ions on the flotation of bastnaesite. This research seeks to investigate the capabilities of organic acids in the bastnaesite-calcite flotation systems to selectively depress calcite minerals and effectively chelate calcium …


Experimental And Theoretical Investigation On The Initiation Mechanism Of Low-Rank Coal's Self-Heating Process, Yinan Zhang Jan 2022

Experimental And Theoretical Investigation On The Initiation Mechanism Of Low-Rank Coal's Self-Heating Process, Yinan Zhang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Coal spontaneous combustion remains a safety concern during coal mining, transportation, and storage and requires further investigation to develop effective prevention and control strategies. While various intrinsic and extrinsic conditions may influence coal self-heating, low-rank coals are more prone to spontaneous combustion, especially in humid climates. Therefore, quantifying the effect of extrinsic moisture on the self-heating of low-rank coals is critical for understanding the high propensity of low-rank coals for spontaneous combustion. Many studies have qualitatively evaluated the role of extrinsic moisture on the coal self-heating. Despite this, few studies have quantified the contribution of extrinsic moisture on wetting and …


Artificial Intelligence Based Approach For Rapid Material Discovery: From Chemical Synthesis To Quantum Materials, Robert Tempke Jan 2022

Artificial Intelligence Based Approach For Rapid Material Discovery: From Chemical Synthesis To Quantum Materials, Robert Tempke

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the advent of machine learning (ML) in the field of Materials Science, it has become obvious that trained models are limited by the amount and quality of the data used for training. Where researchers do not have access to the breadth and depth of labeled data that fields like image processing and natural language processing enjoy. In the specific application of materials discovery, there is the issue of continuity in atomistic datasets. Often if one relies on experimental data mined from literature and patents this data is only available for the most favorable of atomistic data. This ultimately leads …


The Impact Of Formation And Fracture Properties Alternations On The Productivity Of The Multi-Stage Fractured Marcellus Shale Horizontal Wells., Dalal Aldbayan Jan 2022

The Impact Of Formation And Fracture Properties Alternations On The Productivity Of The Multi-Stage Fractured Marcellus Shale Horizontal Wells., Dalal Aldbayan

Graduate Theses, Dissertations, and Problem Reports (ETD)

As the reservoir deplete, the pore pressure decreases and the effective stress increases. The increase in the effective stress results in the formation compaction which can alter the formation and hydraulic fracture properties. This is particularly significant for a Marcellus shale horizontal well with multi-stage hydraulic fracture due to low Young's modulus and moderate Poisson's ratio of the Marcellus shale. The degree of the effective stress increase depends on the initial productivity of the well, which is influenced by the hydraulic fracture properties, formation properties, as well as the operating conditions. Therefore, it is necessary to couple the geomechanical and …


Aerodynamic Analysis Of Damage State Missiles Using Overset Meshing Techniques For Application To Computational Fluid Dynamics Simulation, Jonathan A. D'Alessio Jan 2022

Aerodynamic Analysis Of Damage State Missiles Using Overset Meshing Techniques For Application To Computational Fluid Dynamics Simulation, Jonathan A. D'Alessio

Graduate Theses, Dissertations, and Problem Reports (ETD)

Significant research over the years has aimed to redefine the flight capabilities of aircraft after sustaining structural damage to critical components. Flight survivability and controllability are key areas of concern when designing fault-tolerant flight control systems to handle a wide range of potential scenarios. However, there is a lack of research on the impact of physically damaged missile systems. Missile counter-defense and intercept capabilities have become more advanced as the United States has focused heavily on these areas over the years. Damaged missiles due to a kinetic intercept capability present an opportunity for analysis of the post-damage implications on flight …


Characterizing Locomotor Disturbance Perception In Young Adults, Daniel James Liss Jan 2022

Characterizing Locomotor Disturbance Perception In Young Adults, Daniel James Liss

Graduate Theses, Dissertations, and Problem Reports (ETD)

Falls during walking are a leading cause of injuries across aging. Many of these falls are due to slips and trips. The ability to perceive disturbances to ongoing motion may play an important role in the control of walking balance. However, disturbance perception has been investigated in standing balance, but its role in walking balance due to slip- and trip-like disturbances remains largely unknown. Characterizing locomotor disturbance perception in young adults may lead to a more comprehensive understanding of sensorimotor walking balance control.

This work defined locomotor disturbance perception in response to slip and trip-like disturbances in young adults. We …


The Burning Bush: Linking Lidar-Derived Shrub Architecture To Flammability, Michelle S. Bester Jan 2022

The Burning Bush: Linking Lidar-Derived Shrub Architecture To Flammability, Michelle S. Bester

Graduate Theses, Dissertations, and Problem Reports (ETD)

Light detection and ranging (LiDAR) and terrestrial laser scanning (TLS) sensors are powerful tools for characterizing vegetation structure and for constructing three-dimensional (3D) models of trees, also known as quantitative structural models (QSM). 3D models and structural traits derived from them provide valuable information for biodiversity conservation, forest management, and fire behavior modeling. However, vegetation studies and 3D modeling methodologies often only focus on the forest canopy, with little attention given to understory vegetation. In particular, 3D structural information of shrubs is limited or not included in fire behavior models. Yet, understory vegetation is an important component of forested ecosystems, …