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Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies, Kallol Barai Aug 2022

Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies, Kallol Barai

Electronic Theses and Dissertations

The wild blueberry is one of the major crops of Maine, with significant economic value and potential health benefits. Due to global climate change, drought impacts have been increasing significantly in recent years in the northeast region of the USA, causing significant economic losses in the agricultural sectors. It has been predicted to increase further in the future. Changing patterns of the elevated atmospheric temperatures, increased rainfall variabilities, and more frequent drought events have made the wild blueberry industry of Maine vulnerable, suggesting the adoption of novel approaches to mitigate the negative impacts of global climate changes. Also, wild blueberry …


Female Motivation In Engineering, Manufacturing, And Stem-Related Trades, Leaann Nichole Manz, Leaann Nichole Manz-Young, Leaann Nichole Young Aug 2022

Female Motivation In Engineering, Manufacturing, And Stem-Related Trades, Leaann Nichole Manz, Leaann Nichole Manz-Young, Leaann Nichole Young

Electronic Theses and Dissertations

Historically, female representation in engineering and manufacturing trades has been underrepresented compared to their male counterparts. Given this trend, the scope of this paper is to analyze the motivational factors among females who are currently working in Engineering and Manufacturing related trades in the surrounding lower East Appalachian area. Literature research will support an analysis of the following focus: Females in Engineering and Manufacturing Trades. The study focuses on analyzing questionaries from thirty-two females based on the Social Cognitive Career Theory and its three components: “outcome expectations, career interest, and career self-efficacy”. The major findings of this study …


Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara Jan 2022

Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara

Electronic Theses and Dissertations

The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …