Browsing by Subject "machine learning"
Now showing items 1-20 of 28
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A Hierarchical, Fuzzy Inference Approach to Data Filtration and Feature Prioritization in the Connected Manufacturing Enterprise
(2019-04-01)The current big data landscape is one such that the technology and capability to capture and storage of data has preceded and outpaced the corresponding capability to analyze and interpret it. This has led naturally to the ... -
Automated Digit Recognition on Sound Pressure Level Meters Based on Deep Learning
(2020-05-01)Sound pressure level (SPL) meter is one of the useful devices used for measuring the sound level pressure. The measurement device displays the SPL value in decibels (dB) on a standard LCD screen (no backlight). We could ... -
CS532 Course Project Activity - Climate Data Fitting and Local Warming Justification
(2021-09-01)The project introduce a simplified model to justify whether global warming is truly an issuein the current society. Student will first intensify their knowledge aboutBasis Matrix– itsconstruction and its application to the ... -
Detection of Stealthy False Data Injection Attacks Against State Estimation in Electric Power Grids Using Deep Learning Techniques
(2020-08-01)Since communication technologies are being integrated into smart grid, its vulnerability to false data injection is increasing. State estimation is a critical component which is used for monitoring the operation of power ... -
ESSAYS IN AGING, MARITAL STABILITY, AND MENTAL HEALTH
(2024-05-01)This dissertation presents three chapters about understudied characteristics of the older population. As the United States and other developed countries' populations age, more dedicated research is needed to understand and ... -
Essays on Fake Review Detection, Managerial Response, and Consumer Perceptions
(2021-08-01)This dissertation investigates how online reviews and managerial responses jointly affect consumer perceptions. I first examine and compare the outcomes of multiple fake review classifiers using various algorithms, including ... -
Feature Significance Analysis of the US Adult Income Dataset
(2021-09-01)In this paper, we analyze the classic US Adult Income Dataset using logistics regression and random forest to analyze potential factors that contribute to income bias for the 50Kincome bracket(income ≥ 50K per year). Using ... -
Full-Body Biomechanical Characterization of Children with Hypermobile Ehlers-Danlos Syndrome During Gait and Activities of Daily Living
(2022-05-01)Hypermobile Ehlers-Danlos syndrome (hEDS) is an inherited connective tissue disorder, often under-diagnosed, and presenting with frequent chronic pain and severe musculoskeletal symptoms that can drastically reduce the ... -
IMPROVING THE ACCURACY OF THE COST ESTIMATION OF PUBLIC TRANSPORTATION PROJECT: A DATA DRIVEN SELECTION OF THE ESTIMATING METHODOLOGY
(2022-08-31)The preliminary engineer’s estimate for public highway projects has long been a deciding factor on whether State Transportation Agencies (STAs) can proceed with projects that are essential for the public’s well-being. ... -
Information Retrieval of Opioid Dependence Medications Reviews from Health-Related Social Media
(2020-08-01)Social media provides a convenient platform for patients to share their drug usage experience with others; consequently, health researchers can leverage this potential data to gain valuable information about users’ drug ... -
Learning from Code and Non-Code Artifacts
(2022-08-17)Three things are fundamentally true about software: (i) every day that passes we, as a society, generate more software (more code, more documentation, and more software-related artifacts of all kinds), (ii) it is easier ... -
Mathematical Programming in Machine Learning
(1995)We describe in this work a number of central problems of machine learning and show how they can be modeled and solved as mathematical programs of various complexity -
A New Semantic Approach on Yelp Review-star Rating Classification
(2020-02-26)This paper introduces a new semantic approach for yelp review star rating prediction. Our approach extracts feature vectors from user reviews to develop star prediction models. User review text contains detailed information ... -
Old Dogs, New Tricks: Authoritarian Regime Persistence Through Learning
(2020-05-01)How does diffusion lead to authoritarian regime persistence? Political decisions, regardless of what the actors involved might believe or espouse, do not happen in isolation. Policy changes, institutional alterations, ... -
Optimization in Machine Learning
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Predicting Hospital Length of Stay in Intensive Care Unit
(2019-05-01)In this thesis, we investigate the performance of a series of classification methods for the Prediction of the hospital Length of Stay (LoS) in Intensive Care Unit (ICU). Predicting LOS for an inpatient in an hospital is ... -
Predicting Hospital Length of Stay in Intensive Care Unit
(2019-05-01)In this thesis, we investigate the performance of a series of classification methods for the Prediction of the hospital Length of Stay (LoS) in Intensive Care Unit (ICU). Predicting LOS for an inpatient in an hospital is ... -
Prioritize Winter Crash Severity Influencing Factors in US Midwestern for Autonomous Vehicle
(2020-02-28)Adverse weather conditions in winter have significant impacts on crash occurrences and risks. Human drivers can adjust driving styles based on the context information of the surrounding traffic and environments. Similar ... -
Quantification of Common Microplastic Particles in Freshwater Sediments Using Nile Red
(2023-05-01)Identifying and quantifying microplastics (i.e., plastic particle that is smaller than 5 mm) in the environment is critical to our understanding of them because of potential harm to humans and wildlife. Traditional ... -
Research review on AI and Machine learning related works
(2021-03)In this review, several innovative methods and the associated system were created for agriculture navigation, mapping, object detection, and related vehicles technologies. Based on the experiences with these applications, ...