Digital Commons Network^™

Synthesis And Characterization Of New Graft Copolymers Based On Ozonized Polyethylene: Comparative Approach Between Mass And Solution Grafting, Mostapha Karaoui, Samira Kharchouf, Houda El Yakoubi, Kaouthar Boumane, Mohammed Assouag

Journal of Metals, Materials and Minerals

New graft copolymers were developed from low-density polyethylene (LDPE) and high-density polyethylene (HDPE) following an initial ozonation step to introduce reactive functional groups onto the polymer backbone. Among the two polymers, LDPE demonstrated superior susceptibility to ozonation, making it the preferred substrate for subsequent grafting. Grafting was then performed primarily on ozonized LDPE using various functional monomers, including acrylic acid (AA), 4-vinylpyridine (4VP), acrylonitrile (AN), chloromethylstyrene (CMS), as well as copolymers such as AA–vinylphosphonic acid (AA-co-VPA) and AN–vinylphosphonic acid (AN-co-VPA). Grafting was carried out using both solution and melt techniques. The resulting materials were characterized by elemental analysis and Fourier …

Enhanced Red Emission Of Gd2moo6:Eu Phosphor-In-Glass Embedded In Sio2-Teo2-Na2o-Bao Matrix For Solid-State Lighting, Patarawagee Yasaka, Winut Wongwan, Seubsakun Khondara, Jakrapong Kaewkhao

Journal of Metals, Materials and Minerals

Gd2MoO6:Eu3+ phosphor-in-glass (PIG) composites were synthesized by a microwave-assisted melting technique using a 50SiO2:20TeO2:15Na2O:15BaO glass matrix containing 0.00 wt% to 10.00 wt% phosphor. Their structural, optical, and luminescent properties were systematically investigated. X-ray diffraction confirmed the formation of crystalline Gd2MoO6 phases, which became prominent at 5.00 wt% and 10.00 wt%, indicating partial crystallization within the glass network. The density and refractive index increased from 3.621 g∙cm‒3 to 3.774 g∙cm‒3 and 1.535 to 1.692 with higher phosphor loading, suggesting a more compact structure. Absorption spectra showed four characteristic Eu3+ bands at 464 nm, 534 nm, 2088 nm, and 2203 nm, while …

Hybrid Interface Effect Of G-C3n4/Zno Nanocomposites On The Photoelectrochemical Cathodic Protection Of 304 Stainless Steel In Chloride Solution, Htet Yadanar Soe, Thanate Na Wichean, Jularpar Sunttiprapar, Parichart Chaum, Gasidit Panomsuwan, Oratai Jongprateep, Ratchatee Techapiesancharoenkij

Journal of Metals, Materials and Minerals

The development of efficient and environmentally friendly corrosion protection systems for metals in aggressive environments has become a critical area of research, particularly for stainless steel used in marine and industrial applications. In this study, a series of graphitic carbon nitride (g-C3N4) and zinc oxide (ZnO) composites with varying g-C3N4 weight ratios (10 wt% and 30 wt%), are integrated to form heterojunction structures with enhanced charge separation and interfacial activity. The g-C3N4/ ZnO (ZCN) composite thin films were prepared using a facile thermal mixing method and were characterized using XRD, SEM, BET, FTIR, UV-Vis, and PL to confirm their structural, …

Mechanical And Microstructural Characterization Of Tib2/Zro2 Reinforced Al5052 Nanocomposites For Structural Applications, Saumy Agarwal, Satnam Singh

Journal of Metals, Materials and Minerals

This study investigates the fabrication and mechanical characterization of Al5052 composites reinforced with nanosized TiB2 and ZrO2 particles via stir casting. Al5052 was chosen for its high strength-to-weight ratio and corrosion resistance, making it suitable for marine and automotive applications. The addition of hard ceramic reinforcements aimed to enhance mechanical properties without severely affecting ductility. Composite samples were tested as per ASTM standards. SEM analysis confirmed sound metallurgical bonding and generally uniform particle distribution. Density tests showed slight differences between theoretical and experimental values, with porosity generally increasing with reinforcement addition, attributed to particle agglomeration at higher loadings. Mechanical testing …

Green Synthesis And Optimized Annealing Temperature Effects On Zinc Oxide Nanoparticles Using Mango Peel Extract, Supamas Wirunchit, Natchayaporn Sakulpeeb, Woradech Meedech, Sutee Chutipaijit, Wantana Koetniyom

Journal of Metals, Materials and Minerals

This study presents the green synthesis of zinc oxide nanoparticles (ZnO-NPs) using mango peel extract (MgE) as a natural reducing and stabilizing agent. Phytochemical extraction was performed with deionized water, ethanol, and methanol for 1 h to 5 h, with deionized water at 4 h yielding the highest flavonoid content. Using zinc nitrate as a precursor, 25 mL of MgE successfully facilitated the synthesis of ZnO-NPs (ZnO-25MgE). It was found that annealing temperature at 400℃ for 6 h produced pure ZnO. The obtained nanoparticles were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), and field emission scanning electron microscopy …

The Effect Of Granule Composition On The Densification And Strength Of Two Different Compacted 92% Aluminas, Ryan Mccuiston, Kritkaew Somton

Journal of Metals, Materials and Minerals

High-alumina (Al2O3) ceramics are an important, but sometimes overlooked industrial material. Two 92% alumina spray-dried granules, which contained different sintering aid compositions, were studied. The two alumina granules, called MT and JP, were die compacted to form bend bars and heated at temperatures from 200℃ to 1600℃. The effect of the sintering aid composition on the shrinkage, density, and fracture strength of samples were investigated. It was found that MT samples had a lower density than the JP samples up to 1100℃, due to a greater weight loss following binder removal.  However, between 1200℃ to 1600℃, the MT samples had …

Eco-Friendly Pva-Walnut Shell-Based Triboelectric Nanogenerator For Biomechanical Energy Harvesting And Self-Powered Touch Sensing, Sabita Tripathy, Gayatri Mohapatra, Arjun Kumar, Manoj Kumar Debnath

Journal of Metals, Materials and Minerals

The growing demand for sustainable power in wearable electronics necessitates eco-friendly energy harvesting alternatives. Herein, a polyvinyl alcohol-walnut shell (PVA-WS) composite was developed as a biodegradable triboelectric active layer for a single-electrode triboelectric nanogenerator (TENG). Walnut shell powder, a lignocellulosic agricultural byproduct, was incorporated into PVA at an optimised 3 wt%, enhancing surface micro-roughness and charge trapping capability as confirmed by SEM and XRD analyses. The fabricated device yielded a peak output voltage of 130 V, short-circuit current of 390 nA, and maximum power of 20 μW at 500 MΩ under 1 Hz excitation, while also successfully harvesting biomechanical energy …

Surface Characteristics Of Montmorillonite Reinforced Cellulose Membranes Derived From Pineapple Waste, Naufal Rizky Amasda, Heru Suryanto, Aminnudin Aminuddin, Uun Yanuhar, Nanda Lidya Cinta Aulia Sari, Agus Suyetno, Komarudin Komarudin, Fajar Nusantara, Gaguk Jatisukamto, Aulia Surya Ramadhan

Journal of Metals, Materials and Minerals

This study aims to investigate the effect of montmorillonite on the surface characteristics and porosity of bacterial nanocellulose (BNC) membranes derived from pineapple peel waste. The bacterial cellulose was synthesized using Acetobacter xylinum using pineapple peel extract as medium component. Bacterial nanocellulose membrane (BNC) was obtained by crushing and homogenizing bacterial cellulose in a high-pressure homogenizer. BNC membrane was reinforced with montmorillonite content of 2 wt% to 8 wt%. The membrane was characterized for its properties using SEM, FTIR, surface roughness tester, tensile tester, water holding capacity test, and BET analysis. The results showed that montmorillonite was well-dispersed within BNC …

A Novel Federated Llm Framework For Distributed Traffic Modelling In Intelligent Transportation Systems, Seerat Kaur

Theses and Dissertations (Comprehensive)

Intelligent transportation systems (ITS) depend on accurate traffic prediction to support congestion management, infrastructure planning, and real-time operational decisions. Despite substantial progress in data-driven forecasting, several challenges continue to limit practical deployment: traffic data is distributed across independent regional authorities, making centralized aggregation infeasible, standard federated aggregation strategies ignore traffic-specific characteristics that meaningfully affect model quality, and existing models produce only numerical outputs without interpretable reasoning that urban planners can act upon. This thesis addresses these challenges through four contributions that collectively advance privacy-preserving, explainable, and scalable traffic forecasting.

The first contribution provides a systematic review of 129 peer-reviewed publications, …

C.A.S. Full Assessment Report: State Of Florida Government Portal, Delante Clark

Graduate Scholarship and Creative Works

The purpose of this assessment is to evaluate the cognitive overhead, transparency, and attentional integrity of

official State of Florida digital interfaces using the Cognitive Attentional Standards (C.A.S.) platform.

While the Florida Digital Bill of Rights (FDBR) establishes strict regulatory guardrails for consumer data

transparency, tracking opt-outs, and attentional safeguards, the State of Florida explicitly exempts its own

government agencies, public universities, and non-profit entities from complying with these rules.

This assessment serves to investigate the tension between legislative intent and government execution. By

analyzing public sector websites through the C.A.S. platform, this project will establish a “state-enforced vs.

state-executed” …

Healthcare Digital Twins: A Methodological Literature Review On Integrating Iot And Ai For Personalized Medicine And Predictive Care, Sara Shahnazinia, Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini

Electrical & Computer Engineering Faculty Publications

Digital Twin (DT) technology has the potential to revolutionize healthcare delivery and enhance patient outcomes through personalized and precision medicine, simulation models for operations and interventions, and drug discovery. However, successful implementation of DTs in Internet of Things (IoT) and artificial intelligence (AI) healthcare is contingent upon addressing key challenges such as privacy, ethics, and robust data security. This paper presents a methodological literature review of DT applications in healthcare, systematically analyzing the current state of research, key enabling technologies, and implementation challenges. The review summarizes DT categorization approaches (application-based, technology-based, and real-time function-based); delineates core DT components such as …

Gem-Can: A Real-World Dataset Of Can-Bus Attack Scenarios On An Autonomous Vehicle For Intrusion-Detection Research, Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias

Electrical & Computer Engineering Faculty Publications

This paper presents GEM-CAN, a labelled Controller Area Network (CAN) dataset captured from an autonomous GEM e6 platform under both normal operation and controlled cyber-attack conditions.

The dataset contains ∼143 K frames comprising (i) ∼ nominal autonomous operation (∼100k messages), (ii) DoS floods using arbitration ID 0 × 00000000 (∼41 K messages), and (iii) data-tampering injections that reuse legitimate IDs for brake and steering-lock (∼1.3 K messages). Each record includes timestamp, arbitration ID (11/29-bit), DLC, eight payload bytes, and a Normal/Attack label. A companion metadata file enumerates attack windows, PCAN bus-load traces, bitrate, and test conditions. Data were collected with …

Linker-Free Gold-Sputtered Tapered Optical Fiber Plasmonic Sensors For High-Sensitivity Refractive Index Detection In Microfluidic Platforms, Erem Ujah, Gymama Slaughter

Center for Bioelectronics Publications

Gold-sputtered tapered optical fiber (Au-TOF) sensors were developed for high-sensitivity refractive-index (RI) detection using aqueous glucose standards spanning 1.33–1.41 RIU (0–50% w/v). The sensors were fabricated using a reproducible workflow combining flame-brushing tapering, plasma surface preparation, and rotational magnetron sputtering, enabling azimuthally uniform gold coatings without the use of thiol or sulfur linker chemistries. Two sputtering durations (24 s and 30 s) were investigated to examine thickness-dependent plasmonic coupling and sensing performance. Optical measurements were conducted using a broadband supercontinuum source and compact spectrometer within a 20 µL microfluidic sensing chamber. Increasing glucose concentration produced a monotonic decrease in transmission …

Roadway Runoff Impacts To Trout Streams Studies For Ms4 Permit, Jobayed Hossain Badhan

College of Graduate Studies: Theses & Dissertations

Roadway runoff from Georgia Department of Transportation (GDOT) highway infrastructure poses measurable, but temporally constrained threats to cold-water trout ecosystems in northern Georgia. This study investigates temperature and dissolved oxygen (DO) dynamics in three secondary trout streams receiving GDOT roadway discharges, with the primary objective of evaluating compliance with Georgia Rule 391-3-6-.03(6)(ii),(v) under the Municipal Separate Storm Sewer System (MS4) permit framework. Field monitoring was conducted from April 2024 through October 2025 across two consecutive summer seasons using a tiered, multi-instrument approach: YSI ProDSS handheld grab sampling provided regulatory-grade reference measurements; HOBO MX-801 optical DO dataloggers recorded continuous 5-minute-interval temperature …

The Effects Of Membrane Structure And Filtration Conditions On Virus Filtration, Wenbo Xu, Xianghong Qian, Hironobu Shirataki, Daniel Strauss, Sumith R. Wickramasinghe

Biomedical Engineering Faculty Publications and Presentations

Virus filtration is used for validation of virus clearance in the manufacture of monoclonal antibodies. Requirements for this size exclusion process include 10,000-fold reduction of virus particles and at least 95 % recovery of the monoclonal antibody in the permeate. The size difference between the rejected parvovirus particles, 25 nm, and monoclonal antibody, 10-12 nm, is about two. Membranes are designed with pore sizes around the average size of the parvovirus. Given the polydispersity in membrane pore size and virus particles, filter performance is dependent on membrane properties, feed and operating conditions. Compromised performance usually occurs due to product related …

Solar Charging Chair, Joseph Austrian , ‘26, Jude Hemmins , ‘26, Neghemi Micah , ‘26

Senior Theses, Projects, and Awards

For our E90 project, we constructed an outdoor Adirondack-style chair with a built-in battery and solar panel, so users can charge their devices while sitting outside. Through data collection and analysis, we were able to verify that our solar energy system, consisting of a 30W panel, 96Whr battery, MPPT charge controller, and DC-AC inverter, performs better than theoretically expected. The chair was built using pressure-treated lumber with the electrical components in a weatherproof box and solar panel attached to the back rest. The total cost was $667.15.

Yk-4-250 Mitigates Gastrointestinal Radiation Syndrome And Promotes Overall Survival Following Partial Body Radiation Injury, Vidya P. Kumar, Yali Kong, Kan Wang, Asa R. Britton-Jenkins, Stanton Dulan, Landon L. Moore, Debra Saunders, Randal May, Rheal Towner, Sanchita P. Ghosh, Courtney W. Houchen, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Acute gastrointestinal radiation syndrome (GI-ARS) is a significant health threat following high-dose ionizing radiation (IR) exposure, leading to severe morbidity and mortality. The syndrome is characterized by gastrointestinal tissue damage caused by angiotensin II (Ang II) and reactive oxygen species (ROS), resulting in impaired GI function, systemic bacteremia, multi-organ failure, and eventual death. Dysregulation of the renin-angiotensin system (RAS) via Ang II exacerbates ROS production through activation of the Angiotensin II type 1 receptor (AT1R). This underscores the need for agents capable of both scavenging ROS and inhibiting AT1R activity. To address this, we developed YK-4-250, a Tempol-conjugated angiotensin receptor …

Yk-4-250, A Synthetic Telmisartan-Tempol Conjugate: Crystal Structure Of A Stabilized Free Radical Containing An Angiotensin At₁ Receptor Inhibitor, Simon Friedrich, Yali Kong, Faik N. Musayev, Milton L. Brown, B. Frank Gupton

Department of Biomedical and Translational Sciences Faculty Publications

We report the first crystal structure of the telmisartan-tempol conjugate 2,2,6,6-tetramethyl-1-(λ'-oxidaneyl)piperidin-4-yl 4'-[(1,7'-dimethyl-2'-propyl-1H,3'H-[2,5'-bibenzo[d]imidazol]-3'-yl)methyl]-[1,1'-biphenyl]-2-carboxylate free radical (YK-4-250, C₄₂H₄₆N₅O₃), a dual-function inhibitor designed to target both the angiotensin II type 1 receptor (AT₁R) and reactive oxygen species (ROS). Structural analysis reveals a unique crystal architecture in which the nitroxide radical is stabilized within a sterically protected environment while preserving the telmisartan pharmacophore essential for high-affinity receptor antagonism. YK-4-250 is a novel small-molecule conjugate of telmisartan and tempol that incorporates a catalytic stabilized nitroxide radical and was rationally designed to mitigate gastrointestinal acute radiation syndrome (GI-ARS).

Synergistic Removal Of Microplastic Fibres: Integrating Chitosan Coagulation In Hybrid Water Pre-Treatment Systems, Jayasuriya Arachchilage Nimesha Thathsarani

Theses: Doctorates and Masters

Microplastic fibres (MPFs) are the most prevalent form of microplastics detected in the influents of water and wastewater treatment plants. Owing to their elongated shape and low density, MPFs frequently evade removal even during tertiary processes such as membrane filtration. Enhancing pretreatment, particularly through cost-effective coagulation-flocculation can reduce the treatment burden on downstream systems. However, conventional inorganic coagulants often necessitate high dosages and can leave residual ions, posing environmental concerns.

As a sustainable alternative, the use of environmentally friendly coagulants such as Chitosan has gained attention for MPF removal. While Chitosan exhibits favourable qualities, its practical application is hindered by …

Process Optimization And Quality Control In Manufacturing Of Frp Composites By Vartm, Mohamed Emadeldin Omar Abdelhadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Railroad tank cars, being one of the most used means of transportation of hazardous material across the country, have not been structurally upgraded for a long time. Thus, the Pipeline and Hazardous Materials Safety Administration (PHMSA), a United States Department of Transportation (USDOT) agency, released a rule for safer transportation of highly hazardous and flammable liquids by railroad to enhance the design specifications of both the new and existing tank cars in May 2015. A multifunctional composite jacket is proposed as a new material to structurally enhance the railroad tank cars to withstand any accidents that could happen en route. …

Bioprinted Scaffolds For Investigating Fibroblast Alignment, Lillian Thro, Daeha Joung Ph.D.

UROP Posters

Fibroblasts play a vital role in tissue repair, ECM remodeling, and maintaining structural integrity in human tissues. However, their behavior in engineered 3D microenvironments remains poorly understood. Traditional 2D cultures fail to capture the complex cell-cell and cell-matrix interactions that govern fibroblast alignment, migration, and proliferation in vivo. To address this gap, this project uses bioprinted scaffolds that mimic native ECM structures and provide a platform for studying fibroblast behavior in controlled microenvironments. The project focuses on varying scaffold channel properties—such as width, depth, and geometry—to investigate how physical cues influence fibroblast organization and collective migration. A biodegradable gelatin-based ECM …

Infrared Simulation, Sophia Zhou, Ashton Hoo, Tyler Ricks, Sebastian Fox, Kathy Phu

UROP Posters

Infrared image recognition is more difficult than visible-spectrum recognition due to limited high-quality training data. This project addresses that challenge by generating simulated infrared images using temperature-driven rendering in Unreal Engine and other 3D software. These simulations can support applications such as health monitoring, heat detection in mechanical and structural systems, thermal regulation, and engineering process control.

Mapping Leo Satellite Internet Performance Using Mobile Starlink Deployment, Annika Govil, Jacob Gray

UROP Posters

High-speed, low-latency internet connectivity on the move is a critical challenge for applications in connected vehicles, disaster response, and remote education. While terrestrial networks such as 4G or 5G are widespread, they lack coverage in remote or rural geographic areas.

Low Earth Orbit (LEO) satellite constellations, such as SpaceX's Starlink, promise global high-bandwidth, low-latency internet. However, their performance is well-documented in stationary scenarios, while data for *mobile* applications is scarce. This project explores the feasibility and real-world performance of LEO satellite internet while in motion.

Current research documents the performance of LEO satellite constellations in stationary settings. However, data concerning …

Using Nature-Inspired Sustainable Design Via Biomimicry Of The Peregrine Falcon To Improve The Development Of Japan’S F-X Fighter Jet, Tvisha Datta

UROP Posters

Modern fighter jets face a persistent challenge when it comes to improving aerodynamic efficiency without having to sacrifice high-speed performance or long-term sustainability. These aircraft rely heavily on high thrust and agility, and in doing so, they consume substantial amounts of fuel due to aerodynamic drag and limited energy efficiency. As a result of these constraints, advanced military defense development projects, such as Japan’s Mitsubishi F-X fighter jet program, have been delayed. This highlights the need for more sustainable solutions. Biologically inspired design, or biomimicry, has emerged as a potential and promising alternative. The peregrine falcon, notably the fastest bird …

Deep Learning-Based Co-Current Upward Gas-Liquid Two-Phase Flow Regime Identification In An Annular Conduit, Joshua Robert Macomber

Graduate Theses, Dissertations, and Problem Reports (ETD)

Flow regime identification in co-current upward gas-liquid flow through annular conduits remains a significant challenge in petroleum engineering, with major safety and operational implications. It is also important across industries involving the transport of multiphase fluids. Misidentifying flow regimes can introduce major operational risk, yet regime boundaries in annular gas-liquid flow are often visually complex and context dependent.

The objective of this study was to evaluate the utility of convolutional neural network (CNN) classifiers for flow regime identification. The CNN was trained using annular flow image dataset published by Texas A&M University. The dataset consists of approximately 947 RGB images …

Machine Learning-Based Prediction Of Heavy-Duty Diesel Engine Emissions And Comparative Analysis Against Statistical Models, Abdullah Ahmad Khan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing stringency of emissions regulations for heavy-duty (HD) diesel engines necessitates the development of accurate, efficient, and general predictive models for engine-out emissions under steady-state operating conditions. Traditional statistical approaches, while computationally efficient, often fail to capture the inherent nonlinear relationships between the engine operating parameters and emissions formation. In contrast, machine learning (ML) techniques offer a promising alternative by learning the complex patterns directly from experimental data. The present thesis summarizes a comprehensive study on the prediction of steady-state, HD diesel engine emissions using ML models, along with a comparative analysis against conventional statistical modeling approaches.

A high-quality …

Simulation Optimization Of Intermodal Freight Transportation Under Disruptions, Israt Humayra

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rapid growth in freight transportation in modern supply chains has led to increased operational costs, congestion, and severe environmental impacts, especially greenhouse gas emissions. Combining different modes, such as highway, railway, and waterway, intermodal transportation could thus offer considerable benefit to improve efficiency, sustainability, and resilience. However, most existing planning approaches rely on simplified assumptions, fixed schedules, and average cost estimates, making them less relevant to dealing with real-world uncertainties and disruptions. This study develops a simulation-optimization framework for intermodal freight transportation under disruption. We develop a mixed-integer programming model to represent an intermodal logistics planning framework on a multi-layered …

Fill The Void - An Introductory Guide For Learning Medical Imaging, Reid Faith, Peter Gahan, Adam Trusty, Aleksandr Zyskin, Chukwuka Ukekwe, Denise Nchinda, Amanda K. Burbage, Alberto E. Musto

EVMS School of Health Professions Faculty Publications

No standardized, comprehensive approach for radiological image interpretation exists among medical schools in the United States of America. In order to rectify this, we outline a model aimed to help improve how medical imaging can be taught in medical schools. The VOID (Visualization, Orientation/Observation, Identification, Description) guide is a proposed universal, stepwise approach to medical image identification, interpretation, and communication. This structured guideline is aimed at building a foundation for students in early medical education. The VOID was applied to CT (Computed Tomography), MRI (Magnetic Resonance Imaging), and x-ray modalities as integrated sessions for medical students during human anatomy laboratory. …

Implementation And Clinical Utility Of Ultra-Low-Field Portable Magnetic Resonance Imaging For Postprocedural Neurological Evaluation In Ambulatory Neurosurgery: Illustrative Cases, Devan Patel, Vinay Jaikumar, Taysia P. T. Morioka, Laz Rifkin, Kenneth S. Jacoby, Jaims Lim, Anais Andrade, Aimee C. Degaetano, Pui Man Rosalind Lai, Elad I. Levy

EVMS School of Health Professions Faculty Publications

BACKGROUND

Elective endovascular neurosurgical procedures are increasingly performed in ambulatory neurosurgery centers, enabled by advances in catheter technology, safety of conscious sedation, and refined patient selection. Although complication rates are low, rapid evaluation of postprocedural neurological deficits remains critical. Conventional MRI is often impractical in outpatient or procedural settings, whereas ultra-low-field portable MRI (ULF-pMRI) systems (such as Swoop) allow bedside imaging with favorable diagnostic performance.

OBSERVATIONS

Two women in their 60s developed acute neurological deficits at an ambulatory neurosurgery center (ANSC) after diagnostic cerebral angiography in one case and elective internal carotid artery flow diversion in the other. In both …

Unified Bayesian And Machine Learning-Based State Of Charge Estimation In A Pv Battery System, Showrov Rahman

Open Access Dissertations

The state of charge (SOC) of a battery indicates the remaining charge in the battery relative to its nominal maximum charge capacity. The accurate estimation of SOC is of utmost importance for efficient energy management as it indicates the level of energy stored in the battery.

Bayesian and machine learning (ML) approaches represent two distinct estimation strategies for battery state estimation. Bayesian filters, such as the Kalman filter (KF) and particle filter (PF), operate sequentially by incorporating physical models of battery dynamics. In contrast, ML-based methods are data-driven, and their performance largely depends on the quantity and quality of training …