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K-State Electronic Theses, Dissertations, and Reports: 2004 -

K-State Electronic Theses, Dissertations, and Reports: 2004 -

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This is the collection for doctoral dissertations and masters theses and reports submitted electronically by K-State students. Electronic submission of doctoral dissertations was required beginning Fall semester 2006. Electronic submission for masters theses and reports was required beginning Fall 2007. The collection also contains some dissertations, theses, and reports from the years 2004 and 2005 that were submitted during a pilot test project. Some items before 2004 have been digitized and are available in K-State Electronic Theses, Dissertations, and Reports: pre-2004. Check the Library catalog for dissertations, theses, and reports not found in these collections.

All items included in this collection have been approved by the K-State Graduate School. More information can be found on the ETDR Information Page. Items within this collection are protected by U.S. Copyright. Copyright on each item is held by the individual author.

Featured Items

The US-China Trade War: The Effects on The Soybean Industry

Hao, Xijian; Hao, Xijian

Abstract The growing industry of soybean has been affected as never before due to the global economic slowdown, especially under the threat of the trade war between the U.S. and China that began in 2018. As the largest ...
Modeling Radiation on Mars for Solar Particle Events and Galactic Cosmic Rays

Pfeifer, Michael

Using the PHITS code system, Monte Carlo simulations of solar particle events (SPEs) and galactic cosmic rays (GCRs) were performed. The SPE model uses tally data to form kernel response functions that determine twelve ...
Improving crop quality: Investigations on soil selenium and zinc transfer and bioavailability

almutari, Mohammad; almutari, Mohammad

Management of beneficial and/or essential trace elements, such as Se and Zn, is challenging, and it is complicated by the fact that the margin of safety between the levels that will cause dietary deficiency, and those that ...
Evaluation of performance: multi-armed bandit vs. contextual bandit

Chatterjee, Ranojoy

This work compares two methods, the multi-armed bandit (MAB) and contextual multi-armed bandit (CMAB), for action recommendation in a sequential decision making domain. It empirically evaluates their effectiveness on a ...
Anomaly detection based on machine learning techniques

Dilli, Ramesh; Dilli, Ramesh

This report presents an experimental exploration of supervised inductive learning methods for the task of Domain Name Service (DNS) query filtering for anomaly detection. The anomaly types for which I implement a learning ...