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You searched for +publisher:"Penn State University" +contributor:("Guodong Pang, Committee Member"). Showing records 1 – 10 of 10 total matches.

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Penn State University

1. Jeon, Hyun Woo. Manufacturing Energy Models based on Probabilistic Approaches.

Degree: 2015, Penn State University

 Many managerial decisions impact the energy consumption of discrete manufacturing firms. Since an energy amount to be consumed in manufacturing systems is closely connected to… (more)

Subjects/Keywords: manufacturing energy; queueing energy models; probabilistic manufacturing energy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jeon, H. W. (2015). Manufacturing Energy Models based on Probabilistic Approaches. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jeon, Hyun Woo. “Manufacturing Energy Models based on Probabilistic Approaches.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/25911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jeon, Hyun Woo. “Manufacturing Energy Models based on Probabilistic Approaches.” 2015. Web. 29 Nov 2020.

Vancouver:

Jeon HW. Manufacturing Energy Models based on Probabilistic Approaches. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/25911.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jeon HW. Manufacturing Energy Models based on Probabilistic Approaches. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25911

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Ahmadi, Hesamoddin. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.

Degree: 2016, Penn State University

 This dissertation considers the resolution of three optimization problems. Of these, the first two problems are closely related and focus on solving optimization problems in… (more)

Subjects/Keywords: Optimization and learning; distributed optimization in power system; convex optimization; augmented Lagrangian

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ahmadi, H. (2016). On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/29502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ahmadi, Hesamoddin. “On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems.” 2016. Web. 29 Nov 2020.

Vancouver:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/29502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmadi H. On the Analysis of Data-driven and Distributed Algorithms for Convex Optimization Problems. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

3. Zhang, Sai. cost-effectiveness of health care interventions.

Degree: 2015, Penn State University

 Over the past decade, cost-effectiveness analysis has increasingly gained popularity as a means to determine the allocation of scarce health resources. It is a tool… (more)

Subjects/Keywords: health care; cost-effectiveness; breast cancer; sofosbuvir

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APA (6th Edition):

Zhang, S. (2015). cost-effectiveness of health care interventions. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Sai. “cost-effectiveness of health care interventions.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/26233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Sai. “cost-effectiveness of health care interventions.” 2015. Web. 29 Nov 2020.

Vancouver:

Zhang S. cost-effectiveness of health care interventions. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/26233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang S. cost-effectiveness of health care interventions. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

4. Hutchison, Kenneth M. Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics.

Degree: 2015, Penn State University

 Recommendation systems and their algorithms have been a rich research area of research since the first appearance of collaborative filtering as a data categorization tool.… (more)

Subjects/Keywords: Big Data; Statistics; Computer Science; Top-N; Recommender Systems; Spectral Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hutchison, K. M. (2015). Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hutchison, Kenneth M. “Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/26346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hutchison, Kenneth M. “Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics.” 2015. Web. 29 Nov 2020.

Vancouver:

Hutchison KM. Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/26346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hutchison KM. Spectral Top-n:a Computationally Efficient Top-n Algorithm for Big Data Analytics. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

5. Kang, Hyo Jung. Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures.

Degree: 2015, Penn State University

 Every year, the U.S. healthcare system becomes more complex and increasingly fragmented. Inefficiency and disintegration of its structure and operations reveal serious issues in many… (more)

Subjects/Keywords: Healthcare systems engineering; operations research in healthcare; patient flow; emergency department performance measure

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APA (6th Edition):

Kang, H. J. (2015). Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kang, Hyo Jung. “Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/25225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kang, Hyo Jung. “Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures.” 2015. Web. 29 Nov 2020.

Vancouver:

Kang HJ. Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/25225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang HJ. Redesigning a Healthcare Delivery System: Integrated Analysis from Service Processes to System Structures. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Zhang, Xuan. Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems.

Degree: 2015, Penn State University

 This dissertation investigates distributional limit theorems of partial sums of the form fn,1+fn,2∘ Tn+∙s+fn,n∘ Tnn-1 for Gibbs-Markov dynamical systems (Ω, ℬ, T,μ,α) and arrays of… (more)

Subjects/Keywords: weak convergence; Gibbs-Markov; dynamical systems; Poisson limit theorem; central limit theorem; first return times

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, X. (2015). Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Xuan. “Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/24949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Xuan. “Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems.” 2015. Web. 29 Nov 2020.

Vancouver:

Zhang X. Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/24949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang X. Studies on the weak convergence of partial sums in Gibbs-Markov dynamical systems. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Sung, Yi Shan. NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS.

Degree: 2017, Penn State University

 Data proliferation, referring to the explosion in data generation by organizations, leads us to spend considerable efforts on managing the data and retrieving the useful… (more)

Subjects/Keywords: network analytics; machine learning; healthcare analytics; online social networks; dominance attribute; community detection; provider order recommendation system; length of stay; remaining length of stay; classification; prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sung, Y. S. (2017). NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14215yqs5097

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sung, Yi Shan. “NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS.” 2017. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/14215yqs5097.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sung, Yi Shan. “NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS.” 2017. Web. 29 Nov 2020.

Vancouver:

Sung YS. NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/14215yqs5097.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sung YS. NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14215yqs5097

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

8. Madireddy, Manini. Efficient Evacuation For Disaster Management.

Degree: 2015, Penn State University

 During an evacuation, evacuees experience congestion which leads to evacuation inefficiencies. The efficiency of an evacuation process is primarily determined by the decision adopted by… (more)

Subjects/Keywords: Evacuation; Congestion; Social Networks; Diffusion; Shadow Evacuation; Departure time choice Models; Traffic control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Madireddy, M. (2015). Efficient Evacuation For Disaster Management. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Madireddy, Manini. “Efficient Evacuation For Disaster Management.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/27474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Madireddy, Manini. “Efficient Evacuation For Disaster Management.” 2015. Web. 29 Nov 2020.

Vancouver:

Madireddy M. Efficient Evacuation For Disaster Management. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/27474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Madireddy M. Efficient Evacuation For Disaster Management. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

9. Sudit, David M. HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING.

Degree: 2012, Penn State University

 Advances in technology have led to the abundant availability of data from heterogeneous sensors. This combined with knowledge about the sensed data has improved our… (more)

Subjects/Keywords: Information Fusion; Human Fuser; Cognitive; Uncertainty; Sensors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sudit, D. M. (2012). HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sudit, David M. “HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING.” 2012. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sudit, David M. “HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING.” 2012. Web. 29 Nov 2020.

Vancouver:

Sudit DM. HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15326.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sudit DM. HARD AND SOFT SENSOR INFORMATION FUSION USING COGNITIVE INJECTION PROCESS FOR DECISION MAKING. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15326

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

10. Agrawal, Deepak. ESSAYS IN HEALTHCARE MODELING AND ANALYTICS.

Degree: 2017, Penn State University

 In spite of increasing costs the quality of care in the US is decreasing therefore, the President’s Council of Advisors on Science and Technology (PCAST)… (more)

Subjects/Keywords: appointment scheduling; healthcare analytics; preference based scheduling; markov decision process; no-show; multi-priority; network model; risk prediction; physician scheduling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Agrawal, D. (2017). ESSAYS IN HEALTHCARE MODELING AND ANALYTICS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14241dua143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Agrawal, Deepak. “ESSAYS IN HEALTHCARE MODELING AND ANALYTICS.” 2017. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/14241dua143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Agrawal, Deepak. “ESSAYS IN HEALTHCARE MODELING AND ANALYTICS.” 2017. Web. 29 Nov 2020.

Vancouver:

Agrawal D. ESSAYS IN HEALTHCARE MODELING AND ANALYTICS. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/14241dua143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agrawal D. ESSAYS IN HEALTHCARE MODELING AND ANALYTICS. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14241dua143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.