Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (1822)
- Physical Sciences and Mathematics (559)
- Electrical and Computer Engineering (508)
- Electrical and Electronics (473)
- Business (417)
-
- Chemical Engineering (396)
- Arts and Humanities (378)
- Education (279)
- Mechanical Engineering (268)
- Computer Sciences (253)
- Medicine and Health Sciences (241)
- Social and Behavioral Sciences (241)
- Life Sciences (217)
- Biomedical Engineering and Bioengineering (208)
- Civil and Environmental Engineering (170)
- Environmental Sciences (132)
- Operations Research, Systems Engineering and Industrial Engineering (129)
- Business Administration, Management, and Operations (104)
- Civil Engineering (98)
- Physics (78)
- Computer Engineering (77)
- Manufacturing (74)
- Psychology (67)
- Chemistry (51)
- Curriculum and Instruction (51)
- Environmental Engineering (51)
- Philosophy (51)
- Art and Design (49)
- Materials Science and Engineering (46)
- Biology (43)
- Institution
-
- Rochester Institute of Technology (5721)
- New Jersey Institute of Technology (1948)
- Lindenwood University (799)
- University of Alabama in Huntsville (409)
- Munster Technological University (363)
-
- United Arab Emirates University (362)
- Southern Illinois University Carbondale (248)
- University of Missouri, St. Louis (237)
- The University of Notre Dame Australia (152)
- North Carolina Agricultural and Technical State University (149)
- Jacksonville State University (41)
- Seton Hall University (34)
- Technological University Dublin (34)
- University of San Diego (28)
- Sigma Theta Tau International Honor Society of Nursing (27)
- University of North Alabama (21)
- Zayed University (13)
- St. Mary's University (5)
- Keyword
-
- None provided (437)
- Thesis (230)
- Machine learning (196)
- Photography (97)
- Computer vision (95)
-
- Imaging science (95)
- Printing (93)
- Animation (89)
- Mechanical engineering (83)
- Deep learning (79)
- Design (68)
- Artificial intelligence (62)
- Image processing (61)
- Remote sensing (59)
- Computer engineering (58)
- Graphic design (56)
- Art (54)
- Education (53)
- Computer graphics (48)
- Electrical engineering (37)
- Film (37)
- Machine Learning (36)
- Security (36)
- Packaging science (35)
- Simulation (34)
- Painting (33)
- Chemistry (32)
- Creative writing (32)
- Image quality (32)
- Medical illustration (32)
- Publication Year
- Publication Type
Articles 841 - 870 of 10591
Full-Text Articles in Entire DC Network
Adjoining Gates: Mitigating Optical Side-Channel Attacks On Integrated Circuits Through Security-Aware Placement, Thomas Wojtal
Adjoining Gates: Mitigating Optical Side-Channel Attacks On Integrated Circuits Through Security-Aware Placement, Thomas Wojtal
Theses
With the rise of outsourcing in Integrated Circuit (IC) fabrication processes, vulnerabilities in chip security have become a growing concern. These vulnerabilities can lead to attacks such as reverse-engineering, piracy, overproduction, and malicious modification of high-value intellectual property (IP) in a design. In light of this, a method called logic locking has been developed to protect chips prior to end-user shipment. Logic locking incorporates additional logic gates in a design to conceal a chip’s functionality during manufacture and test processes. However, recent developments have shown logic locking to be vulnerable to optical side-channel attacks. In this work, we explore these …
Predictive Maintenance On Drone Batteries Failure Using Machine Learning, Khalifa Jamal Almannaei
Predictive Maintenance On Drone Batteries Failure Using Machine Learning, Khalifa Jamal Almannaei
Theses
Predictive maintenance, powered by machine learning models, presents an innovative solution to address the limitations of drone battery maintenance. The core aim of this study is to design and implement machine learning models suitable for drone batteries, predict battery health, and prescribe maintenance actions. The ultimate scope is to improve operational reliability, safety, and cost-efficiency for drone applications while advancing sustainability and efficiency within the drone industry. By integrating predictive maintenance, the management of drone batteries can be optimized, leading to more reliable, and cost-effective drone operations, the proposal will seek to identify different factors that impacts the health and …
Optimizing V2v Energy Exchange Using Ai, Marwa Alghawi
Optimizing V2v Energy Exchange Using Ai, Marwa Alghawi
Theses
A key factor in promoting sustainable economies, industries, and society is the use of electric vehicles (EVs). They are an important step toward a greener future since they reduce greenhouse gas emissions, improve air quality, and encourage energy independence. The demand for charging stations (CSs) will undoubtedly rise as the global EV market continues to grow over the next few decades, requiring significant investments from both public and private players. By creating a cutting-edge AI model, this work tackles the crucial problems of EVs range prediction and charging optimization decisions. The contributions are summarized as the below: 1. Developed AI …
The Invasive Bank Vole (Clethrionomys Glareolus); A Longitudinal Investigation Into Rodents And Their Pathogen Communities, Using The Irish Rodent Invasion As A Model System., Andrew Mcmanus
Theses
The recent emergence of zoonotic pathogens such as, SARS-CoV-2, Ebola and Mpox, have emphasised the necessity to study wildlife and their pathogens. A knowledge gap currently exists in longitudinal studies of biological invasions, which are needed to understand the change in pathogen communities caused as the invader becomes more established. The invasion of Clethrionomys glareolus in Ireland provides a unique model system to study these changes at different stages of the bio-invasion. This is due to the depauperate small mammal community in Ireland, identifiable source population, introduction point, and ongoing expansion of C. glareolus in Ireland. Extensive work has been …
The Optimisation Of A Customised Methodology For The Determination Of The Lime Requirement Of Irish Soils, Fionan Mackessy
The Optimisation Of A Customised Methodology For The Determination Of The Lime Requirement Of Irish Soils, Fionan Mackessy
Theses
Soil pH plays a pivotal role in agricultural productivity and environmental sustainability, influencing various soil processes crucial for plant growth and ecosystem functions. It is a master variable that affects the biological, chemical and physical properties of soil. Maintaining a correct soil pH – generally through the addition of a liming product - is central to sustainable and productive agriculture and therefore accurate determination of soil pH is a vital piece of information that is central to any soil lab test. However, the accuracy of any soil pH test will be dictated by a number of soil properties such as …
Future-Proofing The Past: Artificial Intelligence In The Restoration Of Andalusian Architectural Heritage: A Case Study Of The Alhambra Palace, Granada, Spain, Kholoud Bader Hasan Ghaith
Future-Proofing The Past: Artificial Intelligence In The Restoration Of Andalusian Architectural Heritage: A Case Study Of The Alhambra Palace, Granada, Spain, Kholoud Bader Hasan Ghaith
Theses
This thesis explains the contribution of artificial intelligence in heritage restoration as an icon of Andalusian architecture by using the Alhambra as an example. The task of sustaining heritage is increasing dramatically due to the accumulation of heritage assets and the need for modern and innovative operations to cope with preservation tasks. Therefore, this thesis reviews the role of artificial intelligence in improving the restoration operation to improve accuracy and efficiency. I applied the case study as a scientific methodology to explain this work to overcome scientific and subjective obstacles, such as scarce data and software integration while explaining the …
The Impact Of Reflective Writing On Instructional Strategies Development: A Mixed Method Study On Prospective English Language Teachers, Fatema Naser Alshehhi
The Impact Of Reflective Writing On Instructional Strategies Development: A Mixed Method Study On Prospective English Language Teachers, Fatema Naser Alshehhi
Theses
Reflective writing is a process in which individuals critically examine their experiences, thoughts, and actions to gain understanding and improve their performance. This thesis investigates the impact of reflective writing on the development of instructional strategies among prospective English language teachers in the United Arab Emirates. The study also explores their perceptions of using reflective writing as a tool for teacher development. The study employed a mixed-methods approach and was conducted in two phases. The first phase involved collecting qualitative data, including document analysis of reflective writings and semi-structured interviews with three prospective teachers. In the second phase, a questionnaire …
On The Use Of Gauge Functions To Obtain Convergent Power Series Solutions To Nonlinear Odes, Nastaran Naghshineh
On The Use Of Gauge Functions To Obtain Convergent Power Series Solutions To Nonlinear Odes, Nastaran Naghshineh
Theses
This dissertation examines the power series solutions---and their analytic continuation via gauge transformations---of three classical nonlinear ordinary differential equations arising in fluid mechanics that are mathematically related by their large-distance asymptotic behaviors in semi-infinite domains. The first problem examines the influence of surface tension and gravitational forces to form a static air--liquid interface that intersects a flat wall at a given contact angle and limits to a flat pool away from the wall. The second problem considers the related configuration of an axisymmetric air--liquid interface formed when the flat wall is replaced with a right circular cylinder. In both problems, …
Mid-Infrared Dust Reverberation Mapping Of Active Galactic Nuclei, Ashley Frank
Mid-Infrared Dust Reverberation Mapping Of Active Galactic Nuclei, Ashley Frank
Theses
One of the main components of the unified model of AGN (active galactic nuclei) is the circumnuclear dusty torus. The torus often obscures our view of the ''central engine" of the AGN, therefore it is important to understand its size and structure. Reverberation mapping can be used to constrain the size of the torus, and relies on the response of the torus dust emission to the variations in the driving optical/UV emission of the accretion disk. The time lag between the optical emission and the infrared response can be used to constrain the distance between the inner region of the …
Advancing Cell Segmentation Methods Through An Innovative Technique And Systematic Evaluation, Yuxing Wang
Advancing Cell Segmentation Methods Through An Innovative Technique And Systematic Evaluation, Yuxing Wang
Theses
In the biomedical field, downstream cell-level analysis is a crucial step for comprehensively characterizing cells' location, function, morphology, and phenotype, relying on the accurate identification of individual cells. Consequently, there is increasing interest in the high quality of identified cell boundaries for biologists or researchers. Currently, cell segmentation methods are categorized into two types: Image-based and RNA-based cell segmentation. However, these methods face significant challenges. For example, most image-based methods tend to identify cell nuclear boundaries rather than entire cell boundaries when only nuclear staining images are available, and their performance is affected by noise in images and training labels. …
An Integrated Framework For Video-Based Deepfake Forensic Analysis, Bashaer Mohamed Alsalami
An Integrated Framework For Video-Based Deepfake Forensic Analysis, Bashaer Mohamed Alsalami
Theses
Deepfakes are AI-generated synthetic media that use AI algorithms to mimic human faces, voices, and actions with high levels of realism. They utilize advanced machine learning and deep learning techniques to generate realistic synthetic media, making the distinction between real and fake content increasingly difficult. Deepfakes were initially developed for entertainment and creative applications. However, they are currently being misused in various domains, posing significant security and ethical challenges. These risks necessitate effective deepfake detection systems to mitigate potential harm and preserve the integrity of digital communication. Nonetheless, the existing detection methods are inadequate and lack a holistic detection mechanism, …
Methodology, Deployment, And Performance Of Pico Balloons In Antarctica, Todd Mckinney
Methodology, Deployment, And Performance Of Pico Balloons In Antarctica, Todd Mckinney
Theses
During the 2022/2023 Antarctic summer, eight pico balloon flights from Neumayer Station III unveiled insights into Antarctic troposphere/stratospheric winds (9 - 15 km AMSL). The most impressive flight lasted an astounding 98 days, completing eight circumnavigations of the Southern Hemisphere. Flight data indicated zonal velocities from -50 to 250 km/hr and meridional velocities of ±100 km/hr, with total wind speeds from 2.0 to 270 km/hr. Pico balloons can ascend due to convection, altering their float density. They also drift further south than larger stratospheric balloons, reaching latitudes close to the south pole. This study showcases the transformation of budget-friendly party …
The Exploitation Of Genomic Information For Dairy And Beef Cattle Breeding, Cliona Ryan
The Exploitation Of Genomic Information For Dairy And Beef Cattle Breeding, Cliona Ryan
Theses
Genotype information is now available for over 4 million Irish dairy and beef cattle, and is primarily used for parent verification and genomic evaluations. Additional benefits that can be generated from genomic data should be explored to maximise the respective return-on- investment. This thesis investigated novel approaches that leverage genome-wide genomic information in cattle, focusing on using the genotype data to accurately determine breed composition, to quantify the association between major genes and performance traits, and to identify karyotype abnormalities. Furthermore, the value of genotyping for the purpose of identifying genetically superior animals depends largely on the accuracy of the …
A Blockchain-Based Platform For Open Science: A Framework For Transparent And Trustworthy Scientific Research, Rajesh Pandey
A Blockchain-Based Platform For Open Science: A Framework For Transparent And Trustworthy Scientific Research, Rajesh Pandey
Theses
Open science promotes transparency in scientific processes, including open access, incentivization, provenance, open-source tools, metrics, and resource sharing. However, effective management of these processes remains a challenge. This research explores the application of blockchain technology to address key aspects of open science, offering a decentralized and secure platform for secure tracking and independent verification of scientific data across various domains. Additionally, it allows researchers to preregister information, track every step in the research lifecycle, accrue incentives based on downloads and citations, and verify dataset authenticity through blockchain, providing immutable proof of existence at specific time points. We also analyzed the …
Query Augmentation For Information Retrieval (Ir) Using Large Language Model (Llm), Anish Bhusal
Query Augmentation For Information Retrieval (Ir) Using Large Language Model (Llm), Anish Bhusal
Theses
In the context of exponential data growth, the efficient retrieval of information remains a known challenge. One key problem lies in bridging the gap between the search query and the information available. This thesis introduces a framework for information retrieval with the help of large language models (LLMs) along with query augmentation. Given a query, its sub-queries are created, using a fine tuned Seq2Seq (sequence to sequence) model through a technique called knowledge distillation. Different prompting methods are applied to produce an efficient query graph. The graph generated is then fed through a retrieval augmented generation (RAG) pipeline to respond …
Adaptive Sliding Mode Control For Plants With Unknown Parameters With Adaptive Boundary Layer Thickness For Chatter Attenuation, Josiah Schlabach
Adaptive Sliding Mode Control For Plants With Unknown Parameters With Adaptive Boundary Layer Thickness For Chatter Attenuation, Josiah Schlabach
Theses
This thesis presents the development of an adaptive boundary layer sliding mode control (SMC) methodology tailored for plants with unknown parameters. The primary challenge addressed is the mitigation of chattering while ensuring robust performance in systems subject to high disturbances and parameter uncertainties. The research introduces a control law that combines existing work that dynamically adjusts the boundary layer thickness with existing work that uses adaptive laws to estimate unknown plant parameters. The stability of the proposed controller is validated with Lyapunov analysis. Simulation results demonstrate the effectiveness of the adaptive boundary layer SMC in producing good tracking control in …
Characterizing A Web Server Deployed In A Lightweight Kubernetes Cluster In An Iot Computing Environment, Jackson Lawrence
Characterizing A Web Server Deployed In A Lightweight Kubernetes Cluster In An Iot Computing Environment, Jackson Lawrence
Theses
As the world’s reliance on the internet continues to grow, so does the need for cloud-based computing solutions. These solutions offer a degree of flexibility, scalability, and reliability that traditional computing methods cannot provide. This thesis focuses on characterizing a web server deployed in a lightweight Kubernetes cluster hosted across three Raspberry Pi 4 minicomputers. Characterization metrics include the transfer rate of data from the web server as well as the CPU utilization and power consumption of the Raspberry Pi devices when under load. The background on cloud-based technology is introduced and the tools used in the thesis research are …
Development Of A Simulation Tool For Assessing Electrical Short Risks From Metallic Whiskers On Printed Circuit Boards Using Unity, Joseph Eric Black
Development Of A Simulation Tool For Assessing Electrical Short Risks From Metallic Whiskers On Printed Circuit Boards Using Unity, Joseph Eric Black
Theses
Tin whiskers are metal strands that spontaneously form on tin surfaces and can grow up to a centimeter long. These whiskers can cause electrical shorts by breaking off and landing on circuit boards, yet there is limited simulation and analysis data regarding their shorting probability. This thesis presents a software tool developed using Unity, Blender, and FreeCAD to simulate the behavior of tin whiskers on PCBs. The tool accurately represents PCBs and whiskers, applying various forces to predict whisker landing positions and the impacted metal faces. By importing STEP files of PCBs, the software automatically sets up the simulation in …
Complexity, Grouping, And Similarity: Effects On Numerosity Estimations, Keighly Harris
Complexity, Grouping, And Similarity: Effects On Numerosity Estimations, Keighly Harris
Theses
This study looked at the effects of visual features like complexity, grouping, and similarity on numerosity estimations. I hypothesized that complex visual stimuli would be more difficult to accurately estimate than simple visual stimuli. Additionally, I hypothesized that stimuli that were visually similar or displayed in spread out, distributed patterns would have more accurate estimations compared to visually random or closely grouped stimuli. Lastly, this study was designed to assess the combined effects of these visual features on numerosity estimation accuracy. Participants were asked to briefly look at images displaying groups of items containing these visual features, estimate the number …
A Study Of The Quantum Edge Extraction Technique Using Bitplane-Based Quantum Boolean Image Processing Algorithm, Sowmik Kanti Deb
A Study Of The Quantum Edge Extraction Technique Using Bitplane-Based Quantum Boolean Image Processing Algorithm, Sowmik Kanti Deb
Theses
Quantum image processing (QIMP) uses quantum information processing to create and work with quantum images. Due to the inherent properties of quantum computation, QIMP technologies have the potential to surpass their classical computing equivalents in terms of computing speed and storage requirements. In this thesis, we investigated quantum image edge detection, which is a fundamental tool used in image processing for feature detection and extraction. Quantum edge detection can exploit quantum mechanics' superposition and entanglement properties to perform operations simultaneously on all pixels and accelerate the process. To this end, we adopted the bitplane based framework of Quantum Boolean Image …
Ambient Temperature Modelling With Ecostress And Private Weather Stations, Gaurav Khatri
Ambient Temperature Modelling With Ecostress And Private Weather Stations, Gaurav Khatri
Theses
This thesis explores the development and application of a novel data architecture for predicting ambient temperatures across US cities, focusing on integrating multi-source data i.e. ECOSTRESS land surface temperatures, urban surface properties, and crowdsourced weather data. The methodology is designed for scalability and adaptability across different urban regions, employing rigorous data quality control to enhance prediction accuracy. The validation of this model across diverse urban settings, demonstrated through rigorous RMSE comparisons and spatial mapping, validates its superiority over traditional models. Through experiments in diverse climatic conditions in Madison, Wisconsin, and Las Vegas, Nevada, the study assesses the model’s generalizability and …
Phylogeography, Speciation, And Cryptic Diversity In The Cave Springtail Pseudosinella Spinosa (Entomobryomorpha: Entomobryidae) From The Interior Low Plateau And Appalachian Valley & Ridge Karst Regions, Brendan Cramphorn
Theses
Caves offer a unique opportunity to study the ecology and evolution of life in extreme environments, particularly with respect to understanding patterns of diversity. Most cave-obligate species are dispersal limited and have restricted ranges, often endemic to a single or a few cave systems. However, a few species have particularly broad distributions suggesting that they either are not dispersal limited or perhaps represent a species complex of morphological similar but genetically distinct species. In this thesis, I explore morphological variation, phylogeography, and possibly cryptic diversity in Pseudosinella spinosa, a cave collembolan (springtail) that inhabits the Interior Low Plateau and Appalachian …
Interlacing Unstructured Data With Deep Neural Nets For Predicting Pervious And Impervious Land Cover Types, Srivani Athmakur
Interlacing Unstructured Data With Deep Neural Nets For Predicting Pervious And Impervious Land Cover Types, Srivani Athmakur
Theses
This research delves into the intricate task of delineating land cover types in Tallahassee-Leon County and emphasizes the need for detailed granularity beyond existing classification systems. Utilizing cutting-edge GIS data, the study harnesses the power of deep learning algorithms, including U-net, UNetPlusPlus, FPNnet, and DeepLabV3Plus. A unique approach, ”Interlacing Unstructured Data with Deep Neural Nets,” integrates shapefiles and Tiff images to enhance classification metrics such as mean intersection over union, pixel accuracy, and loss functions. The research aspires to significantly improve the precision of land cover classification, holding implications for urban planning and environmental management. By innovatively integrating unstructured data, …
A Multi-Decadal Analysis Of Urban Heat And Pollution Islands In New Delhi, India, Saumya Omala Yamineni
A Multi-Decadal Analysis Of Urban Heat And Pollution Islands In New Delhi, India, Saumya Omala Yamineni
Theses
New Delhi, India's capital, is a mega-city with complex urban environments and significant Urban Heat Island (UHI) and Urban Pollution Island (UPI) footprints. Over the past two decades, the city has experienced steady urban growth, increased land cover and green spaces, and rising pollution from local and interstate sources. Currently, a comprehensive multi-decadal analysis of the co-evolution of UHI and UPI in New Delhi is lacking. Such an analysis was conducted using a fusion of in situ data, NASA satellite products, and MERRA-2 reanalysis, reveals: 1) Significant trends of daytime cooling (decreasing by ~ 0.16 ∘C), nighttime warming (increasing by …
Modeling The Impacts Of Land Use/Land Cover Change On Hydrological Dynamics In The Belize River Watershed Using The Soil And Water Assessment Tool, Nina Copeland
Theses
Forest cover loss from land cover/land use (LCLU) change (LCLUC) can alter watershed hydrology. The primary goal of this study was to understand how LCLUC in the Belize River Watershed (BRW) impacted streamflow and related hydrological dynamics from 2000 to 2020 using the Soil and Water Assessment Tool (SWAT). The main objectives were to (1) calibrate and improve the accuracy of the SWAT model using in-situ streamflow data, (2) investigate the predominant LCLUCs leading to forest cover loss in the BRW, and (3) examine changes in streamflow and related hydrological dynamics in the BRW comparing four LCLU scenarios. Findings showed …
An Assessment Of Eastern Box Turtles (Terrapene Carolina Carolina) In North Alabama With A Focus On Ranavirus Prevalence And Urbanization, Emma M. Jordan
An Assessment Of Eastern Box Turtles (Terrapene Carolina Carolina) In North Alabama With A Focus On Ranavirus Prevalence And Urbanization, Emma M. Jordan
Theses
Eastern Box Turtles (Terrapene carolina carolina) are susceptible to many threats, including development, urbanization, and disease. A novel Ranavirus has been attributed to mortality in both captive and wild box turtles, including one known occurrence in a captive box turtle in Alabama, but no further assessment has been made. The aims of this study were to assess if Frog Virus 3-like Ranavirus infects wild box turtles and if its prevalence is related to urbanization in North Alabama, USA. I conducted visual encounter surveys in eight survey areas in North Alabama that occur across a gradient of urbanization and development. Twenty-six …
The Efficacy Of Robotic-Assisted Total Knee Arthroplasty Compared To Manual Total Knee Arthroplasty In Regards To Accuracy, Operative Time, And Patient Outcome, Chris Ewell
Theses
Objectives: This review evaluates the literature comparing Robotic-assisted and Conventional Knee Arthroplasty based on accuracy, operative time, and patient outcomes. It aims to determine the potential of robotic-assisted surgeries in orthopedics and other surgical fields to provide guidance to medical professionals on best practices in Knee Arthroplasty. Methods / Evidence Acquisition: This study conducted a search for evidence primarily on two databases: PubMed and Web of Science, with two additional articles found in the National Library of Medicine. The search utilized the term “Robotic Assisted Total Knee Arthroplasty” matched with various Mesh terms. Only articles published between 2018 and the …
Revitalizing Lagrange, Jessie Johnson
Revitalizing Lagrange, Jessie Johnson
Theses
LaGrange Mountain is located in Colbert County, Alabama, approximately sixteen miles from the University of North Alabama. The mountain is the site of a prehistoric bluff shelter used by Native Americans, Alabama’s first chartered college-- LaGrange College--as well as a nineteenth century village that included a school for women, and, today is the location of a distillery that is owned by the Dawson family. The LaGrange Living History Association currently manages the college site, which includes an open-air museum that explores early pioneer life and Civil War history as it connects to LaGrange College. The current interpretation of the site …
Fetishized Portraits In Victorian Literature, Rachel Smith
Fetishized Portraits In Victorian Literature, Rachel Smith
Theses
No abstract provided.
Critical Reading Pedagogical Approaches To College Literature In A Post-Pandemic, Mckenzie London
Critical Reading Pedagogical Approaches To College Literature In A Post-Pandemic, Mckenzie London
Theses
This project uses a mixed methods approach to study the impact of COVID-19 on faculty and students in the English college classroom. Research indicates that COVID-19 correlates with changes in students’ academic performance, but there is a need for research concerning how to approach these changes in the English classroom through critical reading practices. “Critical reading” is complex to define and even more challenging to exemplify or illustrate. Critical reading practices are often the center of the college English classroom, but with changing technology and a cultural shift from COVID-19, students now approach critical reading differently. The purpose of this …