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You searched for +publisher:"Texas A&M University" +contributor:("Ding, Yu"). Showing records 1 – 4 of 4 total matches.

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Texas A&M University

1. Perez, David Matthew. Exploring Key Variables In Wind Turbine Power Curve Modeling.

Degree: MS, Industrial Engineering, 2018, Texas A&M University

 Though substantial evidence has shown the importance of wind speed and direction in modelling a wind turbine’s power curve, there remains uncertainty as to whether… (more)

Subjects/Keywords: supervised learning; wind energy

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APA (6th Edition):

Perez, D. M. (2018). Exploring Key Variables In Wind Turbine Power Curve Modeling. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173925

Chicago Manual of Style (16th Edition):

Perez, David Matthew. “Exploring Key Variables In Wind Turbine Power Curve Modeling.” 2018. Masters Thesis, Texas A&M University. Accessed November 15, 2019. http://hdl.handle.net/1969.1/173925.

MLA Handbook (7th Edition):

Perez, David Matthew. “Exploring Key Variables In Wind Turbine Power Curve Modeling.” 2018. Web. 15 Nov 2019.

Vancouver:

Perez DM. Exploring Key Variables In Wind Turbine Power Curve Modeling. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1969.1/173925.

Council of Science Editors:

Perez DM. Exploring Key Variables In Wind Turbine Power Curve Modeling. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173925


Texas A&M University

2. Lawley, Jason Kriel. Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms.

Degree: MS, Industrial Engineering, 2018, Texas A&M University

 Wind turbine maintenance is a major cost factor and key determinant of wind farm productivity. Many companies outsource critical maintenance procedures while others perform these… (more)

Subjects/Keywords: N/A

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APA (6th Edition):

Lawley, J. K. (2018). Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173969

Chicago Manual of Style (16th Edition):

Lawley, Jason Kriel. “Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms.” 2018. Masters Thesis, Texas A&M University. Accessed November 15, 2019. http://hdl.handle.net/1969.1/173969.

MLA Handbook (7th Edition):

Lawley, Jason Kriel. “Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms.” 2018. Web. 15 Nov 2019.

Vancouver:

Lawley JK. Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1969.1/173969.

Council of Science Editors:

Lawley JK. Optimal Personnel Deployment Strategy for Self-Perform Maintenance on Wind Farms. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173969


Texas A&M University

3. Gujjula, Krishna Reddy. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.

Degree: PhD, Industrial Engineering, 2018, Texas A&M University

 The research in this dissertation focuses on developing a novel methodology for ChIPSeq dataset analysis. Despite its advances, the standard ChIP-Seq data analysis pipeline, i.e.,… (more)

Subjects/Keywords: ChIP-Seq; Peak-calling; E-M algorithm; Read mapping; Poisson mixture model; multi-mappable reads

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

APA (6th Edition):

Gujjula, K. R. (2018). Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173796

Chicago Manual of Style (16th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Doctoral Dissertation, Texas A&M University. Accessed November 15, 2019. http://hdl.handle.net/1969.1/173796.

MLA Handbook (7th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Web. 15 Nov 2019.

Vancouver:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1969.1/173796.

Council of Science Editors:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173796


Texas A&M University

4. Gujjula, Krishna Reddy. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.

Degree: PhD, Industrial Engineering, 2018, Texas A&M University

 The research in this dissertation focuses on developing a novel methodology for ChIPSeq dataset analysis. Despite its advances, the standard ChIP-Seq data analysis pipeline, i.e.,… (more)

Subjects/Keywords: ChIP-Seq; Peak-calling; E-M algorithm; Read mapping; Poisson mixture model; multi-mappable reads

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gujjula, K. R. (2018). Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173701

Chicago Manual of Style (16th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Doctoral Dissertation, Texas A&M University. Accessed November 15, 2019. http://hdl.handle.net/1969.1/173701.

MLA Handbook (7th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Web. 15 Nov 2019.

Vancouver:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Nov 15]. Available from: http://hdl.handle.net/1969.1/173701.

Council of Science Editors:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173701

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