Index Catalog // ScholarsArchive@OSU

Environment-adaptive RF Sensing with Transferable ANN Features

Creator:: Wang, Guangxin
Abstract:: Radio frequency (RF) sensing arises as a promising option for enabling the internet of things (IoT) applications that transform our life into a world of smart homes, smart cities, and smart industries. The innovation of IoT reveals the benefits of RF sensing across cost, pervasiveness, unobtrusiveness, and privacy. However, challenges...
Resource Type:: Dissertation

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Creator:: Gaskin, Jared
Abstract:: In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Resource Type:: Masters Thesis

Uncertainty in Deep Learning with Implicit Neural Networks

Creator:: Ratzlaff, Neale
Abstract:: The ability to extract uncertainties from predictions is crucial for the adoption of deep learning systems to safety-critical applications. Uncertainty estimates can be used as a failure signal, which is necessary for automating complex tasks where safety is a concern. Furthermore, current deep learning systems do not provide uncertainty estimates,...
Resource Type:: Dissertation
Full Text:: the transport maps to an RKHS. The Fisher neural sampler [Hu et al., 2018, Grathwohl et al., 2020

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:: Wei, Qi
Abstract:: Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
Resource Type:: Dissertation

Fully-integrated mm-Wave Full-duplexing and MIMO Multi-beamforming Receiver Techniques for 5G and Beyond

Creator:: Garg, Robin
Abstract:: In recent years, the research community's interest in fully integrated mm-Wave wireless communication systems has increased significantly. With the standards for 5G NR now in place, the focus has shifted to actual deployment. Mm-Wave systems provide wider bandwidths, higher capacity, and lower latency than existing systems such as 4G. Higher...
Resource Type:: Dissertation

Applications of Magnetic Materials in Soft Robotics

Creator:: Davis, William M.
Abstract:: Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...
Resource Type:: Capstone Project

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:: Khorram, Saeed
Abstract:: In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Resource Type:: Masters Thesis

Investigation of Energy Barrier Heights within Metal-insulator-metal Devices via Internal Photoemission Spectroscopy

Creator:: Jenkins, Melanie A.
Abstract:: Metal-insulator-metal (MIM) and dual-insulator MIM (MIIM) devices are used in rectennas, hot-electron transistors, single electron transistors, resistive random access memory (RRAM), and capacitors. The performance of these devices relies heavily on the energy barrier height at each metal-insulator interface. Thus, determination of the in-situ electron energy barrier at each interface...
Resource Type:: Dissertation
Full Text:: , J.F. Conley, Jr., D.R. Evans, M. Chin, S.J. Kilpatrick, and M. Dubey, “Impact of Electrode Roughness

Weak-supervision Time-series Analysis

Creator:: You, Zeyu
Abstract:: Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
Resource Type:: Dissertation

Internal photoemission spectroscopy determination of barrier heights between Ta-based amorphous metals and atomic layer deposited insulators

Creator:: Jenkins, M. A., McGlone, J. M., Wager, J. F., and Conley, J. F., Jr.
Abstract:: The energy barrier heights between two recently reported Ta-based amorphous metals (TaWSi and TaNiSi), TaN, and atomic layer deposited Al2O3 and HfO2 insulators are measured in metal/insulator/metal (MIM) structures with Au top electrodes using internal photoemission (IPE) spectroscopy. For Al2O3, the Ta-based metal barrier heights, phi(Bn), increase with increasing metal...
Resource Type:: Article
Full Text:: , J. F. Wager, J. F. Conley, Jr., D. R. Evans, M. Chin, S. J. Kilpatrick, and M. Dubey, J. Vac. Sci

ScholarsArchive@OSU

Environment-adaptive RF Sensing with Transferable ANN Features

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Uncertainty in Deep Learning with Implicit Neural Networks

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Fully-integrated mm-Wave Full-duplexing and MIMO Multi-beamforming Receiver Techniques for 5G and Beyond

Applications of Magnetic Materials in Soft Robotics

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Investigation of Energy Barrier Heights within Metal-insulator-metal Devices via Internal Photoemission Spectroscopy

Weak-supervision Time-series Analysis

Internal photoemission spectroscopy determination of barrier heights between Ta-based amorphous metals and atomic layer deposited insulators

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