Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Chulalongkorn University (200)
- University of Arkansas, Fayetteville (132)
- Brigham Young University (96)
- University of Tennessee, Knoxville (95)
- University of Central Florida (93)
-
- Western University (90)
- University of Massachusetts Amherst (89)
- Louisiana State University (88)
- Clemson University (87)
- Air Force Institute of Technology (86)
- City University of New York (CUNY) (83)
- University of Texas at El Paso (79)
- Walden University (72)
- West Virginia University (72)
- Portland State University (69)
- University of South Carolina (69)
- University of South Florida (69)
- Utah State University (68)
- University of Kentucky (67)
- University at Albany, State University of New York (63)
- University of Texas Rio Grande Valley (60)
- University of New Mexico (55)
- University of Wisconsin Milwaukee (54)
- William & Mary (52)
- Mississippi State University (51)
- Washington University in St. Louis (51)
- California Polytechnic State University, San Luis Obispo (49)
- University of Nevada, Las Vegas (46)
- New Jersey Institute of Technology (45)
- Old Dominion University (45)
- Keyword
-
- Machine learning (118)
- Machine Learning (91)
- Deep learning (51)
- Climate change (41)
- Computer Science (37)
-
- Deep Learning (35)
- Artificial intelligence (32)
- Sustainability (32)
- COVID-19 (31)
- Chemistry (30)
- Natural language processing (29)
- Mathematics (27)
- Optimization (27)
- Statistics (26)
- Cybersecurity (24)
- Geology (24)
- Artificial Intelligence (20)
- Department of Computer Science and Engineering (20)
- Remote sensing (20)
- Spectroscopy (19)
- Climate Change (18)
- Neural networks (18)
- College of Natural Science and Mathematics (17)
- GIS (17)
- Computer science (16)
- Education (16)
- Computer vision (15)
- Nanoparticles (15)
- Physics (15)
- Simulation (15)
- Publication
-
- Theses and Dissertations (492)
- Electronic Theses and Dissertations (233)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (200)
- Doctoral Dissertations (182)
- Electronic Thesis and Dissertation Repository (90)
-
- Graduate Theses and Dissertations (90)
- Honors Theses (88)
- Dissertations and Theses (80)
- Open Access Theses & Dissertations (79)
- Electronic Theses and Dissertations, 2020- (78)
- Dissertations (74)
- Graduate Theses, Dissertations, and Problem Reports (72)
- Walden Dissertations and Doctoral Studies (72)
- USF Tampa Graduate Theses and Dissertations (69)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (60)
- All Dissertations (57)
- Dissertations, Theses, and Capstone Projects (57)
- Legacy Theses & Dissertations (2009 - 2024) (57)
- Masters Theses (50)
- Undergraduate Honors Theses (48)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (46)
- LSU Doctoral Dissertations (45)
- Master's Theses (44)
- Theses (43)
- WWU Graduate School Collection (39)
- Browse all Theses and Dissertations (38)
- Graduate College Dissertations and Theses (38)
- Graduate Research Theses & Dissertations (38)
- Dissertations - ALL (36)
- Master's Projects (35)
- File Type
Articles 3811 - 3840 of 3904
Full-Text Articles in Entire DC Network
Customer Drinks Purchasing Behavior During Covid-19 Pandemic Analysis, Krittayot Bherngjitt
Customer Drinks Purchasing Behavior During Covid-19 Pandemic Analysis, Krittayot Bherngjitt
Chulalongkorn University Theses and Dissertations (Chula ETD)
The COVID-19 pandemic has caused many changes to the lifestyle of people all over the world. The lockdown forced people to stay at home for many months. This has led to the changes in purchasing behavior as well such as the increase in delivery order. This research, which has received sales data of drinks during the pandemic from a large beverage company, seeks to analyze the changes in customer behavior during the pandemic by using machine learning to perform clustering and observe the changes in the purchases of each product type. We will use clustering to group customers based on …
Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul
Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul
Chulalongkorn University Theses and Dissertations (Chula ETD)
GPS accuracy can be compromised in urban areas due to multipath issues, leading to low accuracy in GPS location. Therefore, map matching has been introduced as a method to reduce the GPS location error. However, current map matching methods require high-frequency GPS data, and may not perform well with low-frequency data. To address this issue, this study explores the use of machine learning technology and classification methods to adjust the low-frequency GPS location. The model developed in this research employs features such as speed, heading, and location of the previous GPS point for machine learning training, ultimately leading to more …
Real-Time Object Detection For Screening Cannabis Seed Gender, Prachya Boonsri
Real-Time Object Detection For Screening Cannabis Seed Gender, Prachya Boonsri
Chulalongkorn University Theses and Dissertations (Chula ETD)
Perception and understanding of cannabis are more expansive than they formerly were. Almost all growers are primarily interested in getting harvests of big flower buds from cannabis female plants since THC, CBD and other cannabinoids are found in female flowers and valuable for medical and industrial market segments. Selecting only female seeds to cultivate is thus an important step to produce THC, CBD profitably. Unfortunately, outdoor cultivation in Thailand traditionally grows regular cannabis seeds that grow up of mixed male and female plants. The male plants will be later spot and eliminated during the pre-flowering stage. This incurs the higher …
Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam
Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam
Chulalongkorn University Theses and Dissertations (Chula ETD)
There is still no effective treatment for type 2 diabetes, which has been on the rise for years. By repositioning current medications for new indications, drug repurposing can aid in the discovery of novel medications. Deep learning has recently been applied to this problem via link prediction utilizing a graph representation that learns from either the structure of a graph or the semantic meaning of entity text. However, because they used a single representation as the basis for their work without making any model improvements, earlier attempts still had restricted performance. In this study, we suggest a new deep-learning approach …
Job-Candidate Classifying And Ranking System With Machine Learning Method, Thapanee Boonchob
Job-Candidate Classifying And Ranking System With Machine Learning Method, Thapanee Boonchob
Chulalongkorn University Theses and Dissertations (Chula ETD)
Finding suitable candidates for an open job position could be a repetitive and time-consuming task, especially from a large pool of candidates. Besides, this task could truly make fair screening and shortlisting tedious. Losing the opportunity to hire top talent candidates due to the slow screening process or the wrong selection by human error is unacceptable. This paper presented a method for human resources to categorize and select the top candidates for job opening they applied for. The proposed system directed to alter a machine learning algorithm to classify the candidate into groups i) shortlist and ii) not-suitable. The productive …
Estimating Stock Price Based On Information From Financial Statement Using Machine Learning Approach, Thitikun Kunathananon
Estimating Stock Price Based On Information From Financial Statement Using Machine Learning Approach, Thitikun Kunathananon
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study introduces a new tool for stock market investors and institutions constructed from Long Short-Term Memory (LSTM) for predicting stock prices. By effectively analyzing financial statements and stock market data, LSTM provides a fast, unbiased, low-cost solution for stock price prediction, intending to increase profits for investors and reduce losses. The study results indicate that LSTM can maintain effectively captures complex relationships in the data and predicts stock prices. This research highlights the potential of LSTM as a valuable and innovative tool for investors and institutions in the stock market.
Class-Level And Token-Level Approaches For Test Impact Analysis, Alon Basin
Class-Level And Token-Level Approaches For Test Impact Analysis, Alon Basin
Chulalongkorn University Theses and Dissertations (Chula ETD)
The objective of the thesis is to examine the efficacy of test impact analysis in a setting of continuous testing, where automated test cases are routinely run to guarantee the integration of high-quality codes. While continuous testing can enhance code quality and minimize maintenance workload, it also leads to a notable rise in overhead for test execution. In our study on test impact analysis, we developed a novel static class level technique that utilizes JavaParser to create a dependency graph between test cases and source code classes based on abstract syntax trees. We applied this technique to seven Java systems …
Investigation Of Mass Wasting In The Vicinity Of Khao Kho, Central Thailand Using Time – Series Insar Technique, Nuttavit Kumvijairat
Investigation Of Mass Wasting In The Vicinity Of Khao Kho, Central Thailand Using Time – Series Insar Technique, Nuttavit Kumvijairat
Chulalongkorn University Theses and Dissertations (Chula ETD)
The application of time-series InSAR has been employed for investigation of mass wasting in the Khao Kho and Phetchabun mountain range. The objective of this study is to Investigation of mass wasting by SAR data between 2015 to 2018 and classification of mass wasting by displacement rate millimeter/year. This study using active remote sensing data, which is Synthetic Aperture Radar (SAR) satellite imagery from Sentinel-1A and Sentinel-1B satellites. Result from PSInSAR analysis yielded a total of 7,354 PS points for ascending orbit, and 8,984 PS point for descending orbit. The average ground displacement rate result from ascending orbit is 65.19 …
Geomorphological Change Of The Upper Yom River In Phrae Province, Kakkhanang Na Nan
Geomorphological Change Of The Upper Yom River In Phrae Province, Kakkhanang Na Nan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Yom River is the main tributary of the Chao Phraya River; the upper Yom River flows through Phrae Province. This research selected the upper Yom River because of meander processing in an active basin, which rapidly migrates and changes landforms all the time, The object of this research is to study geomorphological change, thickness and behavior of the upper Yom River in Phrae Province. By assessing aerial photographs and satellite images from 1954 to 2019, the researchers were able to interpret the geological changes that occurred over the past 65 years. The study identified several geomorphological changes from channel migration …
Life Cycle Assessment Of Canned Fish Production In Thailand, Chanya Kraiwed
Life Cycle Assessment Of Canned Fish Production In Thailand, Chanya Kraiwed
Chulalongkorn University Theses and Dissertations (Chula ETD)
The canned fish industry is one of the world's most popular exports in Thailand. Moreover, the canned seafood industry ranks fourth in terms of energy consumption, which compares to all industry group (Wiriyatangsakul, 2021). Commercial competitiveness, on the other hand, must be improved because of the competitive conditions in the global market. Thus, this study evaluates the environmental performance of a factory in Samut Sakhon, Thailand, using Life Cycle Assessment (LCA) with Gate-to-Gate approach and setting functional unit by 1 ton fresh fish entering to process. The study used the SimaPro LCA application with the CML 2 baseline 2000 method, …
The Potential Risk And Occupational Exposure Of Pesticides Among Rice Farmers In Delta Ayeyarwady Division, Myanmar, Moe Thu Khin
The Potential Risk And Occupational Exposure Of Pesticides Among Rice Farmers In Delta Ayeyarwady Division, Myanmar, Moe Thu Khin
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study aims to assess the potential risk and occupational exposure of pesticides among rice farmers in the Delta Ayeyarwady Region, Myanmar. A cross-sectional study was carried out with 454 rice farmers from March-April 2022. Data collection was done through face-to-face interviews used with a semi-structured questionnaire. The study showed that the mean age of farmers was 44.36 years old while the range was 16 and 74 years old. Rice farmers' average weight (± standard deviation) was 56.86 (± 7.30) kg. In this study, over two-thirds of the rice farmers (77 %) had a moderate level of knowledge regarding environmental …
Co-Effects Of Silver Nanoparticles And Microplastics On Nitrifying Microorganisms From Wastewater Treatment Plants And Their Activities, Nampetch Charanaipayuk
Co-Effects Of Silver Nanoparticles And Microplastics On Nitrifying Microorganisms From Wastewater Treatment Plants And Their Activities, Nampetch Charanaipayuk
Chulalongkorn University Theses and Dissertations (Chula ETD)
Silver nanoparticles (AgNPs) and microplastics are emerging water contaminants of the decade. They share a similar fate and transport in wastewater treatment plants as they tend to accumulate in sludge of aeration tanks. Since both contaminants have negative effects on microbial growth, the ammonia-oxidizing microorganisms in the aeration tanks are at risk for inhibition and consequently nitrification process fails. This study investigated the effects of AgNPs and microplastics on ammonia-oxidizing activity and community. No inhibition of ammonia oxidation rate was observed at 0.1 mg/L AgNPs. Partial inhibition was found at 0.5 and 1 mg/L AgNPs, while complete inhibition occurred at …
Connected Size Ramsey Numbers Of Matching And Some Graphs, Jirawat Mungtumklang
Connected Size Ramsey Numbers Of Matching And Some Graphs, Jirawat Mungtumklang
Chulalongkorn University Theses and Dissertations (Chula ETD)
No abstract provided.
The Cardinality Of The Permutations On A Set With N Non-Fixed Points, Jukkrid Nuntasri
The Cardinality Of The Permutations On A Set With N Non-Fixed Points, Jukkrid Nuntasri
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this thesis, we study relationships between |Sn(A)| and |seqn1-1(A)| as well as |seqn(A)| for infinite sets A, where Sn(A) is the set of permutations of A with n non-fixed points and seqn(A) and seqn1-1(A) are the set of sequences and the set of one-to-one sequences of elements of A with length n, respectively, where n is a natural number greater than 1. With the Axiom of Choice (AC), |Sn(A)|, |seqn1-1(A)|, and |seqn(A)| are equal for all infinite sets A. Among our results, we show, in the Zermelo-Fraenkel set theory (ZF), that |Sn(A)|<=|seqn1-1(A)| for any infinite set A under some weak form of AC and the assumption cannot be removed. In the other direction, we show that |seqn1-1(A)|<=|Sn+1(A)| for any infinite set A and the subscript n+1 cannot be reduced to n. Moreover, we also show that "|Sn(A)|<=|Sn+1(A)| for any infinite set A" is not provable in ZF.
Threshold Numbers Of Some Complete Multipartite Graphs And Their Complements, Thanaporn Sumalroj
Threshold Numbers Of Some Complete Multipartite Graphs And Their Complements, Thanaporn Sumalroj
Chulalongkorn University Theses and Dissertations (Chula ETD)
No abstract provided.
Valorization Of Furfural To Fuel Additives By Aluminophosphate And Metal-Organic Framework Catalysts, Janejira Ratthiwal
Valorization Of Furfural To Fuel Additives By Aluminophosphate And Metal-Organic Framework Catalysts, Janejira Ratthiwal
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this research, aluminophosphate (APAl) catalysts and metal oxide catalysts from calcined metal-organic frameworks (C-MOFs) were successfully synthesized. APAl-A catalysts were obtained from the FQM-383 laboratory group of Prof. Dr. Rafael Luque. The catalysts were named APAl-X/Y-A-Z which X/Y was the ratio of P/Al ratio and Z was the calcination temperature. Both factors were varied to study their effects on the catalyst properties of surface area and active acid sites on catalyst surface. The MOFs (MIL-101(Fe) and MIL-125(Ti)) were prepared by the solvothermal method. The calcination of MOFs (C-MIL-101(Fe) and C-MIL-125(Ti)) provided metal oxide catalysts. The APAl catalysts and C-MOFs …
Application Of Core Annular Flow For Oil Transportation In Different Pipe Configurations Using Computational Fluid Dynamics, Cindy Dianita
Application Of Core Annular Flow For Oil Transportation In Different Pipe Configurations Using Computational Fluid Dynamics, Cindy Dianita
Chulalongkorn University Theses and Dissertations (Chula ETD)
The application of Core Annular Flow (CAF) has become an interesting solution in transporting heavy oil through pipeline because of its energy reduction and cost efficiency. Current study conducted a 3D computational fluid dynamic (CFD) to simulate CAF of oil-water in horizontal T- and Y-pipe junctions with two types of oil characteristic i.e., oil as Newtonian fluid and oil as non-Newtonian Carreau Fluid. The 2k factorial statistical experimental design was applied to investigate the effect of geometry on the flow performance. Eight cases were run with different diameter combinations and junction angle. The most attractive design was measured by the …
Improving Chromatographic Analysis Of Phenolic Compounds, Tarika Lomcharoenwong
Improving Chromatographic Analysis Of Phenolic Compounds, Tarika Lomcharoenwong
Chulalongkorn University Theses and Dissertations (Chula ETD)
Phenolic compounds are important chemicals and are applied in many fields. Moreover, they are found as contaminants in the environment. This research aimed to improve the chromatographic analysis of phenolic compounds and was divided into two parts. The first part focused on improving the separation of a mixture containing eighteen phenols using gas chromatography with derivatized cyclodextrin stationary phases. Results showed that all three cyclodextrin-based stationary phases, with different ring sizes, improved the separation of the mixture in comparison to polysiloxane OV-1701 stationary phase. The best separation was obtained from the small-size alpha-cyclodextrin with a capillary column of 15-meter long …
Numerical Approximation To Ruin Probability Of Generalization Of Classical Risk Model, Kittiwat Woragate
Numerical Approximation To Ruin Probability Of Generalization Of Classical Risk Model, Kittiwat Woragate
Chulalongkorn University Theses and Dissertations (Chula ETD)
No abstract provided.
Identifying The Most Distinctive Characteristics Of A Good Solution For Non-Euclidean Cvrp Using Statistical Learning Model, Piyabut Inbunsong
Identifying The Most Distinctive Characteristics Of A Good Solution For Non-Euclidean Cvrp Using Statistical Learning Model, Piyabut Inbunsong
Chulalongkorn University Theses and Dissertations (Chula ETD)
A capacitated vehicle routing problem (CVRP) is a well-known NP-hard combinatorial optimization. Therefore, heuristics are the common methods used to search for a good solution. The algorithms will perform better if characteristics of good solutions of the problem are known. There was a research study in the characteristics of Euclidean CVRP solutions and the knowledge was later applied in a metaheuristic. That study becomes our motivation to study the characteristics of non-Euclidean CVRP solutions. To that end, we considered the solutions of non-Euclidean CVRP in the new Euclidean space with the same or higher dimensions using multi-dimensional scaling in which …
Stochastic Control Model With Carrying Capacity Of Population Management Policy For Squirrels In Durian Orchards, Sasiwimol Auepong
Stochastic Control Model With Carrying Capacity Of Population Management Policy For Squirrels In Durian Orchards, Sasiwimol Auepong
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this thesis, the problem that squirrels ruin durian, which is an economic important fruit in Thailand, is considered. We seek for a strategy on squirrel elimination under the consideration that squirrels are not alien species in Thailand and also orchard ecosystem. The problem is solved through a stochastic control model. The population dynamics of squirrels is constructed as a controlled stochastic differential equation with carrying capacity, since we consider the squirrel population in a confined orchard. A performance index indicating the total benefit of a given squirrel elimination strategy is provided. The index comprises the countermeasure cost, resources loss, …
Numerical Algorithm For Heat Equation With Moving Boundary Using Finite Integration Method With Chebyshev Polynomial Expansion, Warunya Wong-U-Ra
Numerical Algorithm For Heat Equation With Moving Boundary Using Finite Integration Method With Chebyshev Polynomial Expansion, Warunya Wong-U-Ra
Chulalongkorn University Theses and Dissertations (Chula ETD)
No abstract provided.
Mathematical Modeling Of The Mechanical Response Of Coupled Inner-Ear Hair Cells With Opposite Polarity, Tanawat Ngampattrapan
Mathematical Modeling Of The Mechanical Response Of Coupled Inner-Ear Hair Cells With Opposite Polarity, Tanawat Ngampattrapan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Hair cells are specialized receptors that detect mechanical forces in the auditory and vestibular systems of vertebrates. In vivo hair-cell bundles are typically anchored to an overlying structure which provides mechanical coupling between neighboring hair cells. Cooperativity between hair bundles has been previously proposed to have strong effects on signal detection. While the coupling of hair cells with the same polarity as those in the auditory organs has been extensively studied, the dynamics of hair cells with opposite polarity in the vestibular system and the inner ear of lizards remain unexplored. In this study, we aim to investigate the dynamics …
คุณสมบัติและทักษะที่จำเป็นสำหรับสกรัมมาสเตอร์ในความคาดหวังของผู้ร่วมทีมสกรัม, อริณชาดา อัศวรัตนมนตรี
คุณสมบัติและทักษะที่จำเป็นสำหรับสกรัมมาสเตอร์ในความคาดหวังของผู้ร่วมทีมสกรัม, อริณชาดา อัศวรัตนมนตรี
Chulalongkorn University Theses and Dissertations (Chula ETD)
วิธีการทำงานแบบสกรัม (Scrum Methodology) เป็นหนึ่งในวิธีการพัฒนาซอฟต์แวร์แบบอไจล์ (Agile Software Development) ที่ได้รับความนิยมในปัจจุบัน ทีมพัฒนาซอฟต์แวร์แบบสกรัม เป็นทีมที่สามารถจัดการตนเองได้ กล่าวคือ สมาชิกของทีมรู้บทบาทหน้าที่ของตนเองและทํางานแบบ “ข้ามฟังก์ชันงาน” (Cross-Functional) ไม่มีการกำหนดหน้าที่ หรือตําแหน่งงานภายในทีมกันอย่างชัดเจนตายตัว มีเพียงแค่การกําหนดบทบาทหลักๆ ไว้ 3 บทบาทเท่านั้น คือ ทีมนักพัฒนา (Development Team) สกรัมมาสเตอร์ (Scrum Master) และเจ้าของผลิตภัณฑ์ (Product Owner) ส่งผลให้ผู้ร่วมทีมสกรัมต้องทํางานที่หลากหลาย ทั้งที่ตนเองถนัดและไม่ถนัด ดังนั้นสกรัมมาสเตอร์จําเป็นต้องมีทักษะที่เพียงพอ เพื่อช่วยให้ผู้ร่วมทีมสกรัมสามารถทํางานตามวัตถุประสงค์ที่วางไว้ร่วมกันได้ งานวิจัยนี้เป็นงานวิจัยเชิงสำรวจ (Survey Research) ใช้การเก็บข้อมูลจากการตอบแบบสอบถามออนไลน์และการใช้แบบสอบถามออนไลน์เป็นเครื่องมือในการเก็บข้อมูล จากบริษัทที่ใช้วิธีการทำงานแบบสกรัมพัฒนาซอฟต์แวร์ในไทย ใช้เวลาในการเก็บข้อมูล 3 เดือน ผลการวิจัย พบว่าทักษะที่จำเป็นสำหรับสกรัมมาสเตอร์จากมุมมองผู้ร่วมทีมสกรัมของบริษัทพัฒนาซอฟต์แวร์ในไทย (1) สกรัมมาสเตอร์มองว่า วิธีการทำงานแบบสกรัม (Scrum Process) สำคัญที่สุดสำหรับทักษะด้านเทคนิค เช่นเดียวกับมุมมองของเจ้าของผลิตภัณฑ์ และทักษะการทำความเข้าใจ (Understanding Skills) สำคัญที่สุดสำหรับจรณทักษะ (2) เจ้าของผลิตภัณฑ์มองว่า ความมุ่งมั่น (Commitment, Responsibility) สำคัญที่สุดสำหรับจรณทักษะ (3) ทีมนักพัฒนามองว่า เครื่องมือรวบรวมโค้ด (code) ที่ได้รับการพัฒนาจากสมาชิกเเต่ละคนในทีมให้เป็นชิ้นเดียว (Continuous Integration Tools) สำคัญที่สุดสำหรับทักษะด้านเทคนิค และการทำงานเป็นทีม (Teamwork) สำคัญที่สุดสำหรับจรณทักษะ โดยรวมแล้วผู้ร่วมทีมสกรัมให้ความสำคัญกับทักษะด้านเทคนิค และจรณทักษะไม่แตกต่างกัน งานวิจัยนี้สามารถนำไปใช้กับการพิจารณาคุณสมบัติของสกรัมมาสเตอร์
Eastern Redcedar (Juniperus Virginiana L.) Encroachment On South-Central South Dakota Rangelands: Impact On Plant Communities, Austin K. Domeier
Eastern Redcedar (Juniperus Virginiana L.) Encroachment On South-Central South Dakota Rangelands: Impact On Plant Communities, Austin K. Domeier
Electronic Theses and Dissertations
Grasslands historically covered 46 million km2 of Earth’s surface representing nearly 42% of the living vegetation. Encroachment of woody species onto grasslands and savannas is a widely researched global phenomenon, with eastern redcedar (ERC) (Juniperus virginiana L.) trees being the most prominent woody encroacher in the Northern Great Plains (NGP) due to the lack of prescribed fire and planted ERC escaping from shelterbelts. This encroachment poses a threat to native plant communities in terms of their reproduction, regeneration, and diversity. ERC are fierce competitors and can establish in most soil types, are drought tolerant, and prolific seed reproducers. These qualities …
Effects Of Conservation Management Practices On Soil Health And Crop Yields In Eastern South Dakota, Alex Mclain
Effects Of Conservation Management Practices On Soil Health And Crop Yields In Eastern South Dakota, Alex Mclain
Electronic Theses and Dissertations
Conservation management practice adoption on agricultural land has increased in recent years due to increasing public and private investment. The anticipated impact of increasing conservation management practice adoption are reduced greenhouse gas emissions and improved soil, water, and air quality. Understanding how these conservation management practices affect agricultural producers economically is vital to properly incentivize these practices. The existing literature on how conservation management practices affect soil health and crop yields is mixed and generally has been conducted on experimental research stations. These studies may not fully account for the on-farm effects of conservation management practices. The objectives of this …
Cryptography Through The Lens Of Group Theory, Dawson M. Shores
Cryptography Through The Lens Of Group Theory, Dawson M. Shores
Electronic Theses and Dissertations
Cryptography has been around for many years, and mathematics has been around even longer. When the two subjects were combined, however, both the improvements and attacks on cryptography were prevalent. This paper introduces and performs a comparative analysis of two versions of the ElGamal cryptosystem, both of which use the specific field of mathematics known as group theory.
Evaluation Of Tidal Fresh Forest Distributions And Tropical Storm Impacts Using Sentinel-2 Msi Imagery, Galen Costomiris
Evaluation Of Tidal Fresh Forest Distributions And Tropical Storm Impacts Using Sentinel-2 Msi Imagery, Galen Costomiris
Electronic Theses and Dissertations
Situated in the transitional zone between non-tidal forests upstream and tidal fresh marshes downstream, tidal fresh forests occupy a unique and increasingly precarious habitat. The threat of intensifying anthropogenic climate change, compounded by the effects of historical logging and drainage alterations, could reduce the extent of this valuable ecosystem. The overall goals of this project were to identify forest communities present in the Altamaha tidal fresh forest; develop satellite imagery-based classifications of tidal fresh forest and tidal marsh vegetation along the Altamaha River, Georgia; and to quantify changes in vegetation distribution in the aftermath of hurricanes Matthew and Irma. Based …
Biomimetic Synthesis Of Palladium Nanoparticles For Catalytic Application, Emily A. Groover
Biomimetic Synthesis Of Palladium Nanoparticles For Catalytic Application, Emily A. Groover
Electronic Theses and Dissertations
The synthesis of palladium nanoparticles (Pd NPs) using materials-directed peptides is a novel, nontoxic approach which exerts a high level of control over the particle size and shape. This biomimetic technique is environmentally benign, featuring nonhazardous ligands and ambient conditions. Nanoparticles are extremely reactive catalysts, boasting a large surface-to-volume ratio when compared to their bulk counterparts. The rational design of these nanoparticles using peptides has been very successful in aqueous environments, but no research has been done to apply it in organic systems. As such, the biomimetic synthesis of Pd NPs in an organic system is here investigated, with ethanol …
Reinforcement Learning: Low Discrepancy Action Selection For Continuous States And Actions, Jedidiah Lindborg
Reinforcement Learning: Low Discrepancy Action Selection For Continuous States And Actions, Jedidiah Lindborg
Electronic Theses and Dissertations
In reinforcement learning the process of selecting an action during the exploration or exploitation stage is difficult to optimize. The purpose of this thesis is to create an action selection process for an agent by employing a low discrepancy action selection (LDAS) method. This should allow the agent to quickly determine the utility of its actions by prioritizing actions that are dissimilar to ones that it has already picked. In this way the learning process should be faster for the agent and result in more optimal policies.