Index Catalog // ScholarsArchive@OSU

Titanium Dioxide Nanomaterial Ink Production Through Laser Ablation Synthesis in Solution for Printed Electronics Applications

Creator:: Duryea, Devyn, McKibben, Nicholas, Manzi, Jacob, Brennan, Taylor, Subbaraman, Harish, Estrada, David, and Kandadai, Mirmala
Abstract:: Flexible and printed electronics have become increasingly popular as they make possible the production of flexible, low-cost, multifunction devices that are unachievable through traditional manufacturing methods. The printed films are significantly impacted and thus limited by the existing ink production process. Herein, an alternate technique of generating high-quality titanium dioxide...
Resource Type:: Article
Full Text:: , 5, 4856. [63] N. J. Wilkinson, M. A. A. Smith, R. W. Kay, R. A. Harris, Int. J. Adv. Manuf. Technol

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Creator:: Aziere, Nicolas
Abstract:: This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
Resource Type:: Dissertation
Full Text:: |N (s) i | × d, and then linearly projects the intermediate feature map into compressed features X̂

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Creator:: Masood, Khalid I.
Abstract:: The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
Resource Type:: Dissertation

Supporting merge comprehension when resolving merge conflicts

Creator:: Nelson, Nicholas
Abstract:: Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
Resource Type:: Dissertation

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

Creator:: Hamid, Md Montaser
Abstract:: Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
Resource Type:: Masters Thesis
Full Text:: of Original (n=34) and Post-GenderMag (n=35) participants for each code from the mental model

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Creator:: Aghasi, Allreza, Ral, Arun, and Xla, Yusen
Abstract:: Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Resource Type:: Article
Full Text:: computer vision image feature extraction Smith et al. (2022) Impact of no-make up images on

Semantic embodied navigation : developing agents that navigate from language and vision

Creator:: Krantz, Jacob
Abstract:: Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Resource Type:: Dissertation

Visual object discovery and understanding

Creator:: Yuan, Jialin
Abstract:: Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
Resource Type:: Dissertation

Point-of-care and wearable sensors for non-invasive stress hormone detection with molecularly imprinted techniques

Creator:: Yeasmin, Sanjida
Abstract:: Rapid and sensitive detection of stress hormones, such as cortisol and dehydroepiandrosterone (DHEA), can benefit the diagnosis of diseases related to adrenal gland disorders, post-traumatic stress disorders, chronic fatigue syndrome, and more. Stress hormones fluctuate in a circadian rhythm, the highest in the early morning and the lowest at night;...
Resource Type:: Dissertation
Full Text:: and Au@MIP sensors in response to various cortisol concentrations (n=3). SWVs were measured in 0.1 M

Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

Creator:: McQuoid, Ian M.
Abstract:: One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
Resource Type:: Dissertation
Full Text:: font for certain sets with standard operations denoting by Z the set of integers, N the set of natural

ScholarsArchive@OSU

Titanium Dioxide Nanomaterial Ink Production Through Laser Ablation Synthesis in Solution for Printed Electronics Applications

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Supporting merge comprehension when resolving merge conflicts

Improving User Mental Models of XAI Systems with Inclusive Design Approaches

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Semantic embodied navigation : developing agents that navigate from language and vision

Visual object discovery and understanding

Point-of-care and wearable sensors for non-invasive stress hormone detection with molecularly imprinted techniques

Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

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