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Filtering by: Creator Luis Arumí, José Remove constraint Creator: Luis Arumí, José Committee Member Wong, Weng-Keen Remove constraint Committee Member: Wong, Weng-Keen

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Understanding the Application and Benefits of Learning-based Methods in Nuclear Science and Engineering

Creator:

Gómez Fernández, Mario Enrique

Abstract:

Known as the fourth industrial revolution, digitization is an ongoing trend in all ﬁelds, in which various industries are integrating information technologies to support and improve their businesses. Nuclear technology industries have also increased their interest in data-driven methods by leveraging the potential of pattern recognition to identify anomalies and...

Resource Type:

Dissertation
A SAT-based planning framework for optimizing resource production

Creator:

Ventura, Christopher

Abstract:

Domain-independent automated planning is concerned with computing a sequence of actions that can transform an initial state into a desired goal state. Resource production domains form an interesting class of such problems, in that they typically require reasoning about concurrent durative-actions with continuous effects while minimizing some cost function. Although...

Resource Type:

Masters Thesis
Network Analysis and Change-point Detection

Creator:

Xu, Jiarui

Abstract:

Analysis of observations on sequential events over time is common in real life. Sequential measurements over time describing the behavior of systems are usually called time series data, which have been collected in a wide range of disciplines. Over the years there have been multiple research areas in studying stochastic...

Resource Type:

Dissertation
Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:

Koul, Anurag

Abstract:

Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...

Resource Type:

Dissertation
Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

Creator:

Khorram, Saeed

Abstract:

The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science3
Nuclear Science and Engineering1
Statistics1

Advisor

Fern, Alan2
Bhattacharyya, Sharmodeep1
Higley, Kathryn A.1
Li, Fuxin1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2008 to 2023

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Committee Member

Wong, Weng-Keen[remove]5
Tadepalli, Prasad2
Chatterjee, Shirshendu1
Fern, Alan1
He, Shan1
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Creator

Gomez Fernandez, Mario Enrique1
Khorram, Saeed1
Koul, Anurag1
Ventura, Christopher1
Xu, Jiarui1

Contributor

Bhattacharyya, Sharmodeep1
Chatterjee, Shirshendu1
Di, Yanming1
Hwang, Neil1

Date

Date range begin – Date range end

Current results range from 2007 to 2023

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Decade

2020-20294
2000-20091

Degree Field

Computer Science3
Radiation Health Physics1
Statistics1

Degree Level

Doctoral4
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)4
Master of Science (M.S.)1

File Format

application/pdf1

Language

English [eng]5

License

All rights reserved5

Non-Academic Affiliation

Oregon State University. Graduate School1

Peer Reviewed

No5

Resource Type

Dissertation4
Masters Thesis1

Rights Statement

In Copyright5

Subject

Linear programming -- Data processing1
Problem solving -- Data processing1

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