Search

Start Over Degree MS Committee Member Kultegin Aydin Keyword machine learning

1. Quantization and Adaptivity of Wavelet Scattering Networks for Classification Applications

open_access
Open Access
Author:
Fox, Maxine Rebecca
Title:
Quantization and Adaptivity of Wavelet Scattering Networks for Classification Applications
Graduate Program:
Electrical Engineering
Keywords:
wavelet scattering networks
quantization
machine learning
backpropagation
convolutional neural networks
File:
Download MaxineFox_MS-Thesis.pdf
Committee Members:
Ram Mohan Narayanan, Thesis Advisor/Co-Advisor
Timothy Joseph Kane, Committee Member
Dr. Raghu G. Raj, Special Signatory
Kultegin Aydin, Program Head/Chair

2. Leveraging Data-Science to Characterize Additively Manufactured Electromagnetic Components

open_access
Open Access
Author:
Sessions, Deanna
Title:
Leveraging Data-Science to Characterize Additively Manufactured Electromagnetic Components
Graduate Program:
Electrical Engineering
Keywords:
Additive manufacturing
frequency selective surface
conformal electromagnetics
machine learning
File:
Download Deanna_Sessions_Thesis_v1.pdf
Committee Members:
Gregory Huff, Thesis Advisor/Co-Advisor
Timothy Joseph Kane, Committee Member
Kultegin Aydin, Program Head/Chair

3. machine learning-enhanced dynamic laser speckle imaging for rapid antimicrobial susceptibility testing

open_access
Open Access
Author:
Zhou, Keren
Title:
machine learning-enhanced dynamic laser speckle imaging for rapid antimicrobial susceptibility testing
Graduate Program:
Electrical Engineering
Keywords:
Antibacterial susceptibility testing
phenotype
bacteria
laser speckle imaging
machine learning
File:
Download Ms_kz_v3.pdf
Committee Members:
Seyedehaida Ebrahimi, Thesis Advisor/Co-Advisor
Zhiwen Liu, Committee Member
Kultegin Aydin, Program Head/Chair

4. the use of machine learning and genetic algorithms for clutter classification and radarcom signal design

open_access
Open Access
Author:
Washington, Richard
Title:
the use of machine learning and genetic algorithms for clutter classification and radarcom signal design
Graduate Program:
Electrical Engineering (MS)
Keywords:
Radar
wireless communications
clutter
lpi
radarcom
machine learning
File:
Download FinalThesis_RichardWashington.pdf
Committee Members:
Kultegin Aydin, Program Head/Chair
Ram Mohan Narayanan, Thesis Advisor/Co-Advisor
Julio Urbina, Committee Member
Dmitriy Garmatyuk, Special Signatory
Saba Mudaliar, Special Signatory