Digital Commons Network^™

Generalizing Medical Image Segmentation Task With Efficient Deep Learning Models, Abel A. Reyes-Angulo

Dissertations, Master's Theses and Master's Reports

Medical Image Segmentation is a critical task in the field of medical imaging, playing a crucial role in diagnostics, treatment planning, and disease monitoring. The emergence of Deep Learning (DL) has ushered in a new era in Artificial Intelligence (AI), propelling remarkable advancements in key domains like language translation, object recognition, and recommendation systems. This evolution has been accompanied by continuous enhancements in computational efficiency and improvements in predictive accuracy. The introduction of sophisticated algorithms, such as convolutional neural networks (CNNs) and transformers, exemplifies these advancements. DL algorithms have demonstrated exceptional efficacy in medical image segmentation tasks, showcasing the potential …

Triboelectrostatic Separation Of Lunar Regolith, Hannah Peterson

Dissertations, Master's Theses and Master's Reports

Lunar regolith as a source of raw materials for a long-term human presence on the moon would need to be separated into single mineral fractions. To do this, triboelectric properties can be utilized to separate minerals without needing to add a working fluid, such as air and water, or expensive, consumable chemicals. A lightweight machine can be created to do this, one that also requires minimal electricity. A series of three prototypes for this machine were created and tested to determine if this concept would work, and what properties the machine would need. A mixture of magnetite and silica were …

Dam It All: A Multi-Scalar Investigation Into The Ecological Role And Function Of Beaver Dams, Kenneth Larsen

Dissertations, Master's Theses and Master's Reports

The central theme of this dissertation is ecological scaling, which examines how small, localized features, such as beaver ponds, contribute to large-scale watershed processes and how different modeling approaches at various scales reveal distinct insights. Through a combination of probabilistic modeling and high-resolution empirical research, this work demonstrates that small ponded systems, particularly those created by beavers (Castor canadensis), serve as critical biogeochemical control points, whose contributions to sediment and nutrient dynamics have been historically underestimated.

In Chapter 1, I contextualize this research within the broader fields of freshwater ecology, watershed modeling, and ecological restoration. I introduce the …

Stepper Motor Load Estimation Using A Neural Network, Soham S. Kulkarni

Dissertations, Master's Theses and Master's Reports

Bipolar stepper motors are common in scenarios that require low-cost precision including 3d printers. The ability to estimate stepper motor load provides an opportunity for health monitoring. For example, excessive load estimates may indicate a future problem in the driven system such as bearing wear. Stepper motor drivers often have built-in stall detection strategies that exploit the driver's precise knowledge of the high-frequency voltage pulses being sent to the motor. The goal of this work was to develop a retrofit approach to stepper motor load estimation using externally measured voltage, current, and speed. A stepper motor dynamometer was created to …

Study Of Two-Phase Void Fraction In A Rectangular Channel Using Capacitance Sensor, Peter Ngoc Nguyen

Dissertations, Master's Theses and Master's Reports

Two-phase liquid-gas flow has many applications in the nuclear industry, including active heat exchangers, reactor core designs, secondary steam generators, and two-phase flow loop balance of the plant. The void fraction is a crucial parameter to determine the pressure drop, flow regimes and liquid levels inside the nuclear reactor core. For the past forty years, void fraction has been studied by many researchers by different measurement techniques. Each method has positive and negative attributes. In this study, after extensive literature reviews, the author has chosen a capacitance type void fraction sensor over other void fraction measuring techniques. The principal concept …

Optical Methods For Time-Resolved Dosimetry And Oximetry Of Ultra-High Dose Rate Radiation Therapy, Megan A. Clark

Dartmouth College Ph.D Dissertations

Radiotherapy (RT) is a cornerstone method used to treat over 50% of the 2 million new cancer diagnoses each year in the United States. The success of RT directly relies on an optimal balance between maximizing the dose to the tumor while minimizing dose to surrounding normal tissues. Achieving this balance is often challenging due to underlying radiation transport and the presence of anatomical constraints that limit the beam delivery geometry. In turn, minimizing healthy tissue toxicity prevents use of a more aggressive tumor killing approach, and even in curative cases may decrease the patient’s quality of life due to …

Development Of A Spss-Based Prediction Model To Evaluate ‎Volatile Organic Compounds During Trenchless Cured-In-Place Pipe Method, Salar Bavili Nezhad

Civil Engineering Dissertations - Archive

The Cured-in-Place Pipe (CIPP) method is a widely implemented trenchless technology for the rehabilitation of deteriorated pipelines, offering benefits such as cost-effectiveness and reduced surface disruption. However, the CIPP installation process, particularly during curing, raises concerns over the emission of Volatile Organic Compounds (VOCs), which can adversely impact worker safety, public health, and environmental standards. This dissertation aims to address these concerns by evaluating VOC emissions during CIPP installations and developing a predictive model to guide emission management practices.

A comprehensive field study was conducted, collecting air samples from 15 pipeline rehabilitation sites that utilized different site-specific conditions using non-Styrene …

Enhancing Operational Efficiency Of Paratransit Services Using Predictive Models, Troyee Saha

Civil Engineering Dissertations - Archive

Paratransit services play a vital role in supporting the mobility of older adults and individuals with disabilities, yet they experienced major disruptions during the COVID-19 pandemic and continue to face ongoing operational issues such as trip cancellations. This dissertation explores these challenges through three distinct analyses using data from Arlington, TX. The first chapter investigates how COVID-19-related factors (policies, cases, and vaccination) and socio-demographics influenced paratransit usage from 2019 to 2021. Applying SARIMAX and Poisson regression models, the study finds a substantial drop in ridership—41% in 2020—and a shift toward essential medical travel. It also reveals that restrictive policies, such …

Development Of Supervised Machine Learning-Based Life-Cycle Cost Estimation And Prediction Models For Comparative Sewer System Rehabilitation Using Open-Cut And Trenchless Cured-In-Place Pipe Methods, Gayatri R. Thakre

Civil Engineering Dissertations - Archive

Aging wastewater infrastructure in the United States demands renewal strategies that balance cost-effectiveness, sustainability, and minimal social disruption. Conventional open-cut pipeline installation (OCPI) involves extensive excavation and restoration, whereas trenchless alternatives such as Cured-in-Place Pipe (CIPP) Renewal Technology offer reduced surface disturbance and environmental impacts. However, existing studies primarily focus on Construction Costs (CC), neglecting integrated life-cycle evaluations that also account for Environmental Costs (EC) and Social Costs (SC).

The primary objectives of this research are to develop supervised machine-learning (ML) models to estimate and predict CC in 2025 US dollars (USD) per linear foot of OCPI and CIPP Renewal …

Characterization Of Municipal Solid Waste Using Machine Learning Based Imaging And Chemical Analysis, Enyonam Ahadzi

Theses and Dissertations--Biosystems and Agricultural Engineering

According to the U.S. Department of Energy’s 2023-billion-ton report, the United States generates nearly 300 million tons of municipal solid waste every year. More than 50% of that waste is underutilized and ends up in landfills. This poses serious public health and environmental risks. But beyond the environmental and health implications, this is also a wasted opportunity. The U.S. Energy Information Administration estimates that, for every 100 lbs of waste we throw away, about 85% can be used as fuel or for electricity generation. However, its complex and heterogeneous nature poses challenges for efficient sorting and valorization in waste to …

Valorizing Municipal Solid Waste For Sustainable Aviation Fuel And Polyhydroxyalkanoate Bioplastics: Pyrolysis And Microbial Pathways, Emon Das

Theses and Dissertations--Biosystems and Agricultural Engineering

The escalating global burden of municipal solid waste (MSW), projected to reach 3.88 billion tons annually by 2050, calls for innovative valorization strategies to mitigate environmental impacts and promote a circular bioeconomy. This thesis investigates the conversion of MSW into two high-value products: sustainable aviation fuel (SAF) and polyhydroxyalkanoate (PHA) bioplastics. Chapter one presents comprehensive physicochemical characterization and pyrolysis-GC/MS analysis of MSW feedstocks. The physicochemical results reveal that densification enhances handling and storage properties, while pyrolysis-GC/MS analysis indicates that plastic-rich MSW streams produce bio-oils with favorable hydrocarbon profiles suitable for SAF production, potentially contributing to decarbonization efforts in the aviation …

Enhancement Of Mechanical, Structural, And Electrical Properties In Advanced Composites And Vat Photopolymerized 3d Printing Nanocomposites, Poom Narongdej

CGU Theses & Dissertations

Advanced composites have gained significant attention across various industries, including aerospace, automotive, clean energy, and healthcare, owing to their exceptional mechanical properties and versatility. Fiber-reinforced polymer (FRP) composites, particularly those reinforced with carbon fibers, are extensively used as structural materials in spacecraft, aircraft, high-performance vehicles, and wind turbines due to their high strength-to-weight ratios, stiffness, durability, and tailorable mechanical characteristics. In healthcare, the advent of additive manufacturing (3D printing) has expanded the utility of advanced composites, enabling precise customization of components to meet patient-specific needs while offering design flexibility and ease of fabrication. Despite these advantages, several challenges hinder the …

Mangroves: A Lesson On Modeling Changing Shorelines, Willa Skye

ENGS 15.11: Design and Education

This lesson is an overview of storm barriers, specifically mangroves and how they maintain shorelines. It is meant to offer a visual experience of coastline protection and provide a background for deeper understanding about intertidal zones and their conservation. Students will spend time creating a solution to a flooding problem by making a mock coast and storm barrier. To wrap-up the lesson, students will pair up, then reflect on their model and then individually write or draw their takeaways.

Confronting Indecision, Lane Allison Murray

ENGS 15.11: Design and Education

This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.

Smart Qos-Aware Resource Management For Edge Intelligence Systems, Minoo Hosseinzadeh

Theses and Dissertations--Computer Science

There are several definitions for Smart Cities. One common key point of these definitions is that smart cities are technologically advanced cities which connect everything in a complex urban environment including infrastructure, information, and even people to cope with the crucial problems linked with the urban life such as traffic, pollution, city crowding, health, and poverty. Central to this vision are the Internet of Things (IoT) and Big Data, where interconnected devices with sensors collect vast amounts of data for informed decision-making. However, the rapid expansion of IoT devices challenges efficient data processing while meeting diverse Quality-of-Service (QoS) requirements; for …

Optimization, Machine Learning, And Networking Solutions For Cyber-Physical Systems, Xu Tao

Theses and Dissertations--Computer Science

Cyber-Physical Systems (CPS) represent a transformative paradigm that integrates sensing, computation, and actuation through networked systems to enable intelligent, context-aware applications across various domains. Despite their growing potential, CPS still face critical challenges, particularly in maintaining reliable, low-latency communication and efficient data processing in resource-constrained and dynamic environments. These challenges are further magnified in rural or remote deployments, where traditional network infrastructure is often unavailable or unreliable. This dissertation addresses these challenges through the development of optimization and inference algorithms that enhance network performance in Software-Defined Networks (SDN), using techniques such as reinforcement learning and network tomography for efficient routing. …

Photocatalytic Performance Of Ba₀.₈Ca₀.₂Tio₃ Composite For Norfloxacin Removal In Aqueous Solutions, Raj Mohanty, Swayam Aryam Behera, Asima Subhadarshini, Binita Nanda, P. Ganga Raju Achary

Journal of Metals, Materials and Minerals

This study investigates the degradation of norfloxacin using a Ba0.8Ca0.2TiO3 (BCTO) perovskite composite synthesized via a simple solid-state method. Variety of characterization techniques, including photoluminescence spectra, powder X-Ray Diffraction, UV-Vis Diffuse Reflectance Spectra, FE-SEM and Fourier-Transform Infrared spectra confirm the structural and optical properties of BCTO. Electrical characterization further elucidates its conductive properties. The BCTO composite demonstrates an impressive 87% degradation rate of norfloxacin, attributed to its reduced electron-hole recombination, enhanced light harvestation, and improved charge carrier mobility. Kinetic studies indicate that the degradation process adheres to a pseudo-first-order model, with BCTO outperforming both pure BaTiO3 and conventional photocatalysts. These …

Crack Development Of Electroplated Niw Alloys And Their Wettability And Tribological Properties, Jidsucha Darayen, Suwat Ploypech, Martin Metzner, Claudia Beatriz Dos Santos, Petch Jearanaisilawong, Yuttanant Boonyongmaneerat

Journal of Metals, Materials and Minerals

This study investigates how sodium tungstate concentration (20–46 wt.%) and current density (40–60 A/dm²) affect the microstructure, wettability, mechanical properties, and tribological behavior of electrodeposited Ni-W coatings. Results show that increasing current density markedly raises crack density (from <100 to >400 cracks/cm²), while tungstate concentration has minimal effect. XRD confirms Ni-W solid solution formation, with higher tungsten content refining grains and increasing hardness—peaking at 900 HV at 50 A/dm² (an 80% rise from 500 HV at 40 A/dm²). However, excessive stress at 60 A/dm² leads to microcracking and hardness plateauing (~650–700 HV). Higher crack density improves wettability (contact angle ~17°), enhancing lubricant …

Effects Of Thickness On The Performance Of Sno2 Gas Sensors Using Low-Temperature Co-Fired Ceramic, Montri Aiempanakit, Kittiyaporn Singsumphan, Chutima Nakmuk, Cheewita Suwanchawalit, Manatsawee Srirak, Kata Jaruwongrungsee, Anurat Wisitsoraat, Monrudee Liangruksa, Chawarat Siriwong

Journal of Metals, Materials and Minerals

This study develops SnO2-based gas sensors integrated with a low-temperature co-fired ceramic (LTCC) micro hotplate for ethanol detection. SnO2 nanoparticles were synthesized using a simple precipitation method, and sensing layers with varying thicknesses around 0.24 µm, 0.71 µm, and 1.20 µm were applied to evaluate their influence on performance. The results show that the optimal configuration is a 0.71 µm layer, offering high sensitivity, fast response, and efficient recovery. Operating at a low voltage of 3.2 V, the sensors exhibit low power consumption, suitable for portable and battery-operated applications. The gas-sensing mechanism relies on changes in resistance due to interactions …

Antibacterial, Self-Adhesive Guar Gum/Polyvinyl Alcohol/Tannic Acid Conductive Hydrogels For Flexible Strain Sensors, Noppanan Putdon, Somnuk Theerakulpistut, Rawit Jittham, Pornnapa Kasemsiri

Journal of Metals, Materials and Minerals

In this research, a multifunctional strain sensor with antibacterial properties and self-adhesion capabilities was developed using guar gum (GG), polyvinyl alcohol (PVA), and tannic acid (TA). The incorporation of TA into GG-PVA hydrogel-based strain sensors was investigated to evaluate its effects on mechanical and electrical properties, self-adhesion, and antibacterial activities. The anti-bacterial activities against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) were enhanced with the increasing content of TA. The adhesive strength was observed in the range of 1.20 ± 0.10 kPa to 5.05 ± 0.23 kPa, and the values tended to increase as TA content increased. The …

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson, Dongyi Wang

2025 Research Poster Competition

Beef is one of the most important sources of animal protein and plays a crucial role in daily diets to support muscle growth, energy production and overall health. Historically, each beef carcass was evaluated by 3-5 skilled United States Department of Agriculture (USDA) meat graders, which are still considered as the gold standard for grading. Since 2009, electronic imaging grading systems have been approved by the USDA and have been gradually adopted in the grading facilities. Accurate and consistent beef grading plays a critical role in maintaining the quality, market value, and consumer trust in U.S. beef products. The USDA …

Understanding Human-Agent Teaming: A Mixed-Methods Examination Of Perceptions And Interactions, Valerie Robbins-Roth, Kendall Carmody, Bella Deloach, Meredith Carroll, Amanda Thayer, Jessica Wildman

Aeronautics Faculty Publications

While quantitative research on trust in HATs is well-established, there is a significant gap in understanding individuals’ subjective experiences during trust violations and repair. This study explores how people perceive and respond to these events, guided by three key questions: (1) How do participants describe emotional and behavioral responses to trust violations and repair? (2) How do personality traits influence reactions? (3) What qualitative themes emerge in the dissolution of trust? Using a mixed-methods approach, participants engaged in a 1-hour simulated search-and-rescue mission with four autonomous agents. During the task, one agent committed two trust violations, followed by repair attempts …

Emotion Processing In Adolescents With Epilepsy And Healthy Controls Using Multi-Modal Neuroimaging, Frances Kathryn E. King

Bioengineering Dissertations - Archive

Epilepsy is increasingly recognized as a disorder not only of seizures but also of widespread network dysfunction, impacting cognitive and emotional processing. One critical cognitive process affected in epilepsy is emotional conflict processing, which relies on the interplay of multiple brain networks. However, the spatiotemporal dynamics of emotional conflict processing in epilepsy, particularly in adolescents, have remained poorly understood. This dissertation investigated the neural mechanisms underlying emotional conflict processing in typically developing adolescents and adolescents with epilepsy using magnetoencephalography (MEG). The first study elucidated the spatiotemporal profile of emotional conflict processing in 24 typically developing adolescents using magnetoencephalography (MEG). Cluster-based …

Neurovascular Coupling Impairments In Acute Traumatic Brain Injury: An Eeg-Nirs Analysis, Zachary Armstrong

Bioengineering Theses - Archive

Traumatic brain injury (TBI) is a major cause of neurological impairment, often leading to variable recovery and uncertain prognosis in the neurocritical care setting. There is a pressing clinical need for robust, physiologically grounded biomarkers to inform prognosis and therapeutic decision-making in acute TBI. This thesis investigates neurovascular coupling (NVC), the physiological coordination between neuronal activity and cerebral blood flow, as a candidate biomarker for brain function and recovery after injury.

A prospective cohort study was performed using simultaneous electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings in patients with moderate-to-severe TBI and healthy controls. Wavelet transform coherence (WTC) analysis was …

Learning From Leads: A 1d Dilated Resnet For Ecg Chagas Disease Screening, Somesh Saini, Matheus Lima Diniz Araujo

Student Scholarship

No abstract provided.

An Educational Framework For The Disruptive Technologies And Their Integration In The Un Sdgs Curriculum, Tulsi Pawan Fowdur, Aishani Radhakeesoon

Journal of Educational Technology Development and Exchange (JETDE)

Disruptive technologies such as 5G, AI, IoT, cloud computing, and blockchain are revolutionizing life on our planet and at the same time contributing immensely towards sustainable development and the achievement of the UN SDGs. Nowadays, optimizing the management of resources in various fields such as manufacturing, education, health, transportation etc. in a much more efficient way is possible. This can be achieved by capturing a wealth of real-time data via IoT sensors with the ultra-reliable and low latency connections provided by 5G. Additionally, with cloud computing, blockchain, and AI, these real-time systems can securely transmit, store, and analyze a massive …

Energy, Exergy, Economic, And Environmental Analyses (4e) Of Geothermal Power Plant With Double Flash System For Power And Heat Production, Mamdouh El Haj Assad, Yashar Aryanfar, Imen Ben Salem, Shek Atiqure Rahman, Laveet Kumar, Ahmad K. Sleiti, Mohammad Alhuyi Nazri

All Works

Geothermal energy is a reliable and sustainable renewable energy source due to its continuous availability and eliminating the need for energy storage systems. Among various types of geothermal power plants, double flash (DF) geothermal plants are among the most widely utilized. This paper presents a comprehensive thermodynamic analysis of a DF geothermal power plant, integrating energy, exergy, economic, and exergoenvironmental (4E) evaluations. The study examines the influence of key parameters, including the high-pressure separator and geothermal production well temperature, on the system performance. The results indicate that the expansion valve of the high pressure separator exhibits the highest exergy destruction …

Mxene-Based Materials For Enhanced Water Quality: Advances In Remediation Strategies, Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Mostafa Shafiee, Lobat Tayebi, Ahmad Vaez, Atefeh Najafian, Ehsan Vafa, Sareh Mosleh-Shirazi

Electrical & Computer Engineering Faculty Publications

Two-dimensional MXenes are promising candidates for water treatment because of their large surface area (e.g., exceeding 1000 m²/g for certain structures), high electrical conductivity (e.g., >1000 S/m), hydrophilicity, and chemical stability. Their strong sorption selectivity and effective reduction capacity, exemplified by heavy metal adsorption efficiencies exceeding 95 % in several studies, coupled with facile surface modification, make them suitable for removing diverse contaminants. Applications include the removal of heavy metals (e.g., achieving >90 % removal of Pb(II)), dye removal (e.g., demonstrating >80 % removal of methylene blue), and radioactive waste elimination. Furthermore, 3D MXene architecture exhibit enhanced performance in antibacterial …

Personalized Prediction Of Tumor Recurrence With Image-Guided Physics-Informed Computational Model In High-Grade Gliomas, Walia Farzana, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

High grade gliomas are infiltrating tumors characterized by their diffusive invasion and proliferative growth. Across and within patients heterogeneity of tumors makes it challenging to determine tumor spatial extent after surgical resection. Traditionally, tumor growth predictions after surgical resections rely on generalized models and population-based observations, which do not account for individual patient differences. To address this gap, we propose a personalized approach with image-guided computational model (digital twin) that incorporates physics-based modeling to predict tumor recurrence. Our digital twin involves an inverse modeling step, followed by a recurrence model that accounts for varying surgical effects. The physics-guided inverse model …

Biomedical Mxene-Polymer Nanocomposites: Advancing Photothermal Therapy, Antibacterial Action, And Smart Drug Delivery: A Review, Ali Mohammad Amani, Lobat Tayebi, Ehsan Vafa, Mohammad Javad Azizli, Milad Abbasi, Ahmad Vaez, Hesam Kamyab, Daniel Simancas-Racines, Shreeshivadasan Chelliapan

Electrical & Computer Engineering Faculty Publications

MXenes are hydrophilic, conductive, tunable, and biocompatible two-dimensional ceramic materials prepared by etching the 'A' layer from their precursor MAX phases. Although MXenes show exceptional promise in photothermal therapy, biosensing, and regenerative medicine, they face challenges such as oxidative instability in physiological environments, limited drug-loading capacity, and unpredictable immune responses. To address these limitations, MXene/polymer nanocomposites incorporating both synthetic polymers (e.g., polyethylene glycol (PEG), polyvinyl alcohol (PVA), polyvinylpyrrolidone (PVP), and polylactic-co-glycolic acid (PLGA)) and natural biopolymers (e.g., cellulose nanofiber, gelatin, chitosan, hyaluronic acid, and soybean phospholipids) have been developed. These composites enhance functionality for biomedical applications such as photothermal cancer …