Theses/Dissertations from 2024
Enhanced Adaptive Image-Codebook Learning for Image Reconstruction, Yutong Ge
Residual Transformer Unet for Medical Image Segmentation, Ruopu He
A Step Towards Automated Ethical Analysis in Journalism: Measuring LLMs’ Performance in Extracting Sourcing Information, Jingsen Wang
Understanding and Enhancing Linux Kernel-based Packet Switching on WiFi Access Points, Shiqi Zhang
Enhancing VQGAN-Based Model with ConNeXt for Blind Super-Resolution, Lebin Zhou
Theses/Dissertations from 2023
EMBRIDE: A Madhubani Art Creator, Jui Banik
SOVIA: Sonification of Visual Interactive Art, Lauryn Gayhardt
National Factors and Limitations that Relatively Affect Impacted Youth with Disabilities in Three African Countries, Aishwarya Pai
Comparison of P4 Programmable Software Switches as WiFi Access Points, Kaustubh Pimparkar
A Memory Contention Responsive Hash Join Algorithm Design and Implementation on Apache AsterixDB, Giulliano Silva Zanotti Siviero
Early Detection of Virality in Chinese-Language on YouTube focus on comments, Yulin Zeng
Theses/Dissertations from 2022
Applications for Nutrition Education in Developed and Developing Countries, Emma Allegrucci
Full Body Image Animation with Deep Learning: A Review, Rachael Brooks
Learning with your Buddies: an investigation of community based UX design learning on Discord, Grace Ling
Deep Learning Pseudocode Generation: A Qualitative Analysis, Colin Rioux
Theses/Dissertations from 2021
Control Traffic and Queueing Latencies: Implicit Overheads in Bandwidth Sliced Software Defined Networks, Jesse Chen
Hydration Automation: Smart Tank, Peter Ferguson
Player2Vec: Representation Learning of NBA Players, Axel Perez
The Emily Dickinson Machine & Hybrid Poetry Generation, Juliana Shihadeh
Improving the Quality of DeepFake Creation, Yefeng Yuan
Theses/Dissertations from 2020
Deep Learning Methods for Efficient Image Coding, Zachary Daniel Bellay
Deep Reinforcement Learning for Dialogue Systems with Dynamic User Goals, Glen Chandler
Prioritized Anomaly Catalog Generation Using Model-Based Reasoning, Jake Hedlund
Gaussian-Awareness Deep Learning for Block-Level Compressive Video Sensing, Yifei Pei
Classification and Named Entity Recognition of Short Texts, Zhiyuan Peng
Channel Scanning and Access Point Selection Mechanisms for 802.11 Handoff: A Survey, Dhananjay Singh
A Deep Learning Approach to Generate Efficient and Semantic Location Embedding, Yuan Wang
Theses/Dissertations from 2019
Overhead Management Strategies for Internet of Things Devices, Kavin Kamaraj
The Fog Development Kit: A Platform for the Development and Management of Fog Systems, Colton Powell
Analysis of the Duration and Energy Consumption of AES Algorithms on a Contiki-based IoT Device, Brandon Tsao
Extreme Image Compression with Deep Learning Autoencoder, Licheng Xiao
Theses/Dissertations from 2018
Energy Measurement and Profiling of Internet of Things Devices, Immanuel Amirtharaj
The Design and Implementation of an Adaptive Log Cache, Allen Han
Non-MPM Mode Coding for Intra Prediction in Video Coding, Taru Kanchan
Image Classification on IoT Edge Devices: Profiling and Modeling, Salma Abdel Magid
A Survey on the Security of CoAP and XMPP and Their Performance Comparison, Pei Zhang
Theses/Dissertations from 2017
Information Security Assessments through Artificial Intelligent Security Chat Bots (AISCB), Mohammad Ataurrahman Iqbal
Theses/Dissertations from 2016
Code Girl, Amanda Holl
Panoramic Stereovision and Scene Reconstruction, Ashish Nair
Theses/Dissertations from 2012
Extension of Model-Based Fault Diagnosis Techniques for Network Systems, Ahmed Naail Abeer
Theses/Dissertations from 2011
Integrated Home Server, Santiago John Rose
Theses/Dissertations from 202
Toward a Fair Transactive Energy Market: A Deeplearning Based Energy Consumption Prediction Model, Yuka Hatori