This Is AuburnElectronic Theses and Dissertations

Browsing by Author "Liu, Bo"

Now showing items 1-13 of 13

Authorship Attribution via Evolutionary Hybridization of Sentiment Analysis, LIWC, and Topic Model Features 

Gaston, Joshua (2018-11-05)
Authorship Attribution is a well-studied topic with deep roots in the field of Stylometry. This thesis examines three less traditional feature sets for the purpose of Authorship Attribution. Each feature set is examined ...

Deep Time Series Model on Translation and Forecasting 

Li, Jingjing (2021-11-29)
Deep learning techniques have acquired much attention and have been shown to outperform previous state-of-the-art methods in plenty of fields over the last years. This dissertation delves further into the deep time series ...

Defense Against the Adversarial Arts: Applying Green Team Evaluations to Harden Machine Learning Algorithms from Adversarial Attacks 

Kalin, Joshua (2022-04-28)
Machine Learning permeates all facets of our lives today. Given these models are trusted to make important determinations in our lives like credit decisions, how susceptible are those models to attacks? Adversarial machine ...

The Design and Development of a Framework to support Ergonomics Professionals and General Users 

Asogwa, Onyinye (2018-05-01)
Poor ergonomics in many industries expose workers to risk. Improving the productivity of an organization is as important as the welfare of the employees that work hard to achieve the results. We are in a digital world where ...

Equine Gait Analysis, Body Part Tracking using DeepLabCut and Mask R-CNN and Biomechanical Parameter Extraction 

Gupta, Vinika (2021-07-30)
Gait analysis plays a pivotal role in quantitatively defining equine biomechanical parameters for lameness detection and performance evaluation. Currently, equine gait analysis requires attaching markers or IMU sensors to ...

Framework for user sentiment analysis to improve the usability of applications for generation z and young adults 

Cao, Yang (2019-07-17)
Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their ...

A Framework to Support into Computer Science Education: The Joy of Computing 

Alobaily, Amjad (2018-04-30)
The framework is web-based learning environments related to the Computer Science Principles and big ideas in computing. The National Science Foundation (NFC) and the College Board support the CS Principles. The beauty and ...

An Interdisciplinary Study: A Framework Supporting the Automated Phonetic Transcription Grading Tool System, from Business Requirement to Software Maintenance 

Li, Sicheng (2021-12-01)  ETD File Embargoed
Interactive learning applications enhance the motivation for students to interact and learn with the applications. In this research the primary goals are as follows: 1) to propose and implement algorithms to calculate the ...

Towards Trustworthy Decision-Making in Human-Machine Symbiosis 

Lyu, Daoming (2022-05-02)
As artificial intelligence (AI) evolves, it becomes an integral part of our daily lives. To augment our effectiveness, human-machine symbiosis enables both humans and AI systems to offer different yet complementary ...

UAV Obstacle Avoidance by Applying Deep Learning 

Zhu, Wenyu (2021-08-03)
In the last decades, many algorithms in the artificial intelligence field, including machine learning, deep learning, and so on, have been implemented for not only computer vision, but also in mobile vehicles. Thus, to ...

Use of Augmented Reality (AR) and Virtual Reality (VR) to address four of the “National Academy of Engineering Grand Challenges for Engineering in the 21st Century”. 

Bhattarai, Bibhav (2021-04-08)
Engineering is the shrewd application of science to the exploitation and transformation of natural resources for the benefit of humanity. Humankind has always resorted to engineering in order to overcome limitations, ...

Using V2X and reinforcement learning to improve autonomous vehicles algorithms with CARLA 

Abdalkarim, Mahmoud (2022-04-26)
Autonomous vehicles (AV) or cars of the future are only growing in popularity. However, there is a reported lack of trust in these AV. According to a recent survey conducted by the AAA automotive group on understanding ...

Utilizing Hidden Markov Models to Classify Maneuvers and Improve Estimates of an Unmanned Aerial Vehicle During High Dynamic Flight 

Strong, Amy (2021-07-28)
Unmanned Aerial Vehicles (UAVs) are an increasing presence around the world; however, they can pose a threat to secure facilities. Many UAV mitigation techniques require accurate knowledge of UAV states to successfully ...