Index Catalog // ScholarsArchive@OSU

Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Creator:: Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
Abstract:: Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
Resource Type:: Research Paper
Full Text:: contrast, there are very few studies about ML libraries used in Software-2.0. Islam et al. [68, 69] study

Investigating Time-Digital-Converters for Hardware Security in FPGAs

Creator:: Lytikov, Daniil
Abstract:: In this comprehensive thesis, we present a series of experiments and findings that highlight the critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary calibration tests. We then delve into the Peak-to-Peak tests, which...
Resource Type:: Masters Thesis

Efficient Deep Learning Methods for Biomedical Applications

Creator:: Thota, Narayana Bhagirath
Abstract:: Deep Learning methods have been gaining a lot of significance for various Biomedical applications for diagnosing several types of diseases. Two applications considered here are: 1) Diabetic Retinopathy Detection and 2) ECG signal Classification (or Arrhythmia Detection). Diabetic Retinopathy (DR) is a major cause of blindness in Diabetic patients, and...
Resource Type:: Masters Thesis

New Detection Methods for Transmission at Faster-Than-Nyquist Rates Using Quasi-Orthogonal Sequences

Creator:: Fang, Zhou
Abstract:: Direct sequence spread spectrum (DSSS) was initially used for anti-jamming in military applications and was later developed in other commercial applications. Walsh codes, which are a set of mutually orthogonal codes, are one type of the spreading codes used in DSSS systems. For any spreading codes of length N, these...
Resource Type:: Masters Thesis

New constructions and applications for homomorphic secret sharing and function secret sharing

Creator:: Singh, Jaspal
Abstract:: A secret sharing scheme allows a dealer to distribute a secret with a set of parties, such that only a certain subset of parties can collaborate and learn the shared secret. Traditional secret sharing schemes have been used as building blocks in various subdomains of cryptography. Recently, two new extensions...
Resource Type:: Dissertation

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

Creator:: Bell, Jimmy D.
Abstract:: MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
Resource Type:: Masters Thesis

New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

Creator:: Ma, Chao
Abstract:: This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...
Resource Type:: Dissertation
Full Text:: mentionsm1,m2, · · · ,mD extracted from a document correponds to a structured input x and the structured

Investigating the Effect of Using Mobile Touchscreen Device on Children's Tactile Skills

Creator:: Almurshed, Rana
Abstract:: To users, mobile touchscreen devices have appealing characteristics; among these characteristics is intuitiveness, which leads to mobile devices being used almost everywhere by almost everyone to accomplish almost anything. This statement, to some degree, holds for children too. Despite touchscreen devices’ intuitiveness and popularity, we don’t know much about how...
Resource Type:: Dissertation

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
Full Text:: Kalam, Lamiya Noor, Farzana Hasan Shashi, Sajid Shahriar, Md. Wahiduzzaman, Samir Hasan, and Dr. Mahfuz

Interactive visualization of diversity in multivariate data sets unified across fields of study

Creator:: Pham, Tuan N. T.
Abstract:: The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
Resource Type:: Dissertation
Full Text:: among other fellow students including Karl Smeltzer, Nels Oscar, Josie Hunter, Islam Almusaly, Sheena

ScholarsArchive@OSU

Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Investigating Time-Digital-Converters for Hardware Security in FPGAs

Efficient Deep Learning Methods for Biomedical Applications

New Detection Methods for Transmission at Faster-Than-Nyquist Rates Using Quasi-Orthogonal Sequences

New constructions and applications for homomorphic secret sharing and function secret sharing

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

Investigating the Effect of Using Mobile Touchscreen Device on Children's Tactile Skills

Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

Interactive visualization of diversity in multivariate data sets unified across fields of study

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