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You searched for subject:(Dynamic prediction). Showing records 1 – 30 of 138 total matches.

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University of Sydney

1. Choudhury, Nazim Ahmed. Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network .

Degree: 2018, University of Sydney

 Topological evolution over time in a dynamic network triggers both the addition and deletion of actors and the links among them. A dynamic network can… (more)

Subjects/Keywords: dynamic similarity metrics; link prediction; dynamic networks; optimal sampling; supervised dynamic link prediction

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

APA (6th Edition):

Choudhury, N. A. (2018). Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18640

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):

Choudhury, Nazim Ahmed. “Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network .” 2018. Thesis, University of Sydney. Accessed September 25, 2020. http://hdl.handle.net/2123/18640.

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

MLA Handbook (7th Edition):

Choudhury, Nazim Ahmed. “Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network .” 2018. Web. 25 Sep 2020.

Vancouver:

Choudhury NA. Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2123/18640.

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

Council of Science Editors:

Choudhury NA. Mining Time-aware Actor-level Evolution Similarity for Link Prediction in Dynamic Network . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18640

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


Delft University of Technology

2. Kabbouch, Y. (author). Prediction of rain cell growth and decay using numerical weather prediction models.

Degree: 2020, Delft University of Technology

 Radar rainfall nowcasting stands for the prediction of rainfall amounts and intensities over the next 6 hours by means of statistical extrapolation of radar measurements.… (more)

Subjects/Keywords: NWP models; nowcasting; Rainfall; precipitation; prediction; dynamic

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APA (6th Edition):

Kabbouch, Y. (. (2020). Prediction of rain cell growth and decay using numerical weather prediction models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee62f3f9-0874-43fe-81c2-b7c8b6255d52

Chicago Manual of Style (16th Edition):

Kabbouch, Y (author). “Prediction of rain cell growth and decay using numerical weather prediction models.” 2020. Masters Thesis, Delft University of Technology. Accessed September 25, 2020. http://resolver.tudelft.nl/uuid:ee62f3f9-0874-43fe-81c2-b7c8b6255d52.

MLA Handbook (7th Edition):

Kabbouch, Y (author). “Prediction of rain cell growth and decay using numerical weather prediction models.” 2020. Web. 25 Sep 2020.

Vancouver:

Kabbouch Y(. Prediction of rain cell growth and decay using numerical weather prediction models. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Sep 25]. Available from: http://resolver.tudelft.nl/uuid:ee62f3f9-0874-43fe-81c2-b7c8b6255d52.

Council of Science Editors:

Kabbouch Y(. Prediction of rain cell growth and decay using numerical weather prediction models. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ee62f3f9-0874-43fe-81c2-b7c8b6255d52


University of Illinois – Chicago

3. Li, Jia. Modeling Temporal and Structural Information in Time Series Data.

Degree: 2018, University of Illinois – Chicago

 Time series data is a sequence of data with temporal information at each position in the sequence. Such data widely exists in various disciplines. In… (more)

Subjects/Keywords: Structured Prediction; Time Series; Activity Recognition; Dynamic Network Prediction

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APA (6th Edition):

Li, J. (2018). Modeling Temporal and Structural Information in Time Series Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23345

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):

Li, Jia. “Modeling Temporal and Structural Information in Time Series Data.” 2018. Thesis, University of Illinois – Chicago. Accessed September 25, 2020. http://hdl.handle.net/10027/23345.

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

MLA Handbook (7th Edition):

Li, Jia. “Modeling Temporal and Structural Information in Time Series Data.” 2018. Web. 25 Sep 2020.

Vancouver:

Li J. Modeling Temporal and Structural Information in Time Series Data. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10027/23345.

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

Council of Science Editors:

Li J. Modeling Temporal and Structural Information in Time Series Data. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23345

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


RMIT University

4. Eltom, H. Spectrum prediction in dynamic spectrum access systems.

Degree: 2018, RMIT University

 Despite the remarkable foreseen advancements in maximizing network capacities, the in-expansible nature of radio spectrum exposed outdated spectrum management techniques as a core limitation. Fixed… (more)

Subjects/Keywords: Fields of Research; Spectrum Prediction; Dynamic Spectrum Access; Cooperative Prediction; Hard Fusion; Soft Fusion; Hidden Markov Model; Bayesian Prediction

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APA (6th Edition):

Eltom, H. (2018). Spectrum prediction in dynamic spectrum access systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162432

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):

Eltom, H. “Spectrum prediction in dynamic spectrum access systems.” 2018. Thesis, RMIT University. Accessed September 25, 2020. http://researchbank.rmit.edu.au/view/rmit:162432.

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

MLA Handbook (7th Edition):

Eltom, H. “Spectrum prediction in dynamic spectrum access systems.” 2018. Web. 25 Sep 2020.

Vancouver:

Eltom H. Spectrum prediction in dynamic spectrum access systems. [Internet] [Thesis]. RMIT University; 2018. [cited 2020 Sep 25]. Available from: http://researchbank.rmit.edu.au/view/rmit:162432.

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

Council of Science Editors:

Eltom H. Spectrum prediction in dynamic spectrum access systems. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162432

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


University of Georgia

5. Li, Qi. Graph tree decomposition enabled biopolymer folding.

Degree: 2014, University of Georgia

 Biopolymer tertiary structure prediction by computer programs plays a very important role in complementing the experimental determination method. There are two structure prediction approaches: template-based… (more)

Subjects/Keywords: template-based structure prediction; ab initio structure prediction; biopolymer sequence-structure prediction; graph tree decomposition; treewidth; dynamic programming

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

APA (6th Edition):

Li, Q. (2014). Graph tree decomposition enabled biopolymer folding. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26948

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):

Li, Qi. “Graph tree decomposition enabled biopolymer folding.” 2014. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/26948.

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

MLA Handbook (7th Edition):

Li, Qi. “Graph tree decomposition enabled biopolymer folding.” 2014. Web. 25 Sep 2020.

Vancouver:

Li Q. Graph tree decomposition enabled biopolymer folding. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/26948.

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

Council of Science Editors:

Li Q. Graph tree decomposition enabled biopolymer folding. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26948

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


NSYSU

6. Wang, Yung-Lin. Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2018, NSYSU

 Magnesium alloys have been widely used in the automotive industry, bicycle frame, aerospace development and electronic information 3C products and so on. It is an… (more)

Subjects/Keywords: microstructure; grain size; dynamic recrystallization; recrystallization prediction; Multi-pass hot rolling

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

APA (6th Edition):

Wang, Y. (2018). Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0003118-143859

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):

Wang, Yung-Lin. “Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets.” 2018. Thesis, NSYSU. Accessed September 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0003118-143859.

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

MLA Handbook (7th Edition):

Wang, Yung-Lin. “Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets.” 2018. Web. 25 Sep 2020.

Vancouver:

Wang Y. Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Sep 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0003118-143859.

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

Council of Science Editors:

Wang Y. Investigation of Grain Size Prediction and Mechanical Properties in Multi-pass Hot Rolling of Magnesium Alloy ZK60 Sheets. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0003118-143859

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


Rice University

7. Erfanian Taghvayi, Negar. Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction.

Degree: MS, Engineering, 2020, Rice University

 The underlying spatiotemporal mechanism that leads to the formation of seizures in the brain has been an interesting topic for decades. Different techniques have been… (more)

Subjects/Keywords: Dynamic Mode Decomposition; Epilepsy; Seizure Prediction; Linear Embedding

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

APA (6th Edition):

Erfanian Taghvayi, N. (2020). Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/108777

Chicago Manual of Style (16th Edition):

Erfanian Taghvayi, Negar. “Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction.” 2020. Masters Thesis, Rice University. Accessed September 25, 2020. http://hdl.handle.net/1911/108777.

MLA Handbook (7th Edition):

Erfanian Taghvayi, Negar. “Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction.” 2020. Web. 25 Sep 2020.

Vancouver:

Erfanian Taghvayi N. Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction. [Internet] [Masters thesis]. Rice University; 2020. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1911/108777.

Council of Science Editors:

Erfanian Taghvayi N. Application of Embedded Dynamic Mode Decomposition on Epileptic Data for Seizure Prediction. [Masters Thesis]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108777


University of Melbourne

8. Yuen, Hok Pan. Application of joint modelling to the analysis of transition to psychosis.

Degree: 2019, University of Melbourne

 Background and Aims: Psychosis is a mental condition that is associated with serious adverse effects on people's personal lives and a huge economic burden on… (more)

Subjects/Keywords: CHR; UHR; transition to psychosis; dynamic prediction; joint modelling

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

APA (6th Edition):

Yuen, H. P. (2019). Application of joint modelling to the analysis of transition to psychosis. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/228920

Chicago Manual of Style (16th Edition):

Yuen, Hok Pan. “Application of joint modelling to the analysis of transition to psychosis.” 2019. Doctoral Dissertation, University of Melbourne. Accessed September 25, 2020. http://hdl.handle.net/11343/228920.

MLA Handbook (7th Edition):

Yuen, Hok Pan. “Application of joint modelling to the analysis of transition to psychosis.” 2019. Web. 25 Sep 2020.

Vancouver:

Yuen HP. Application of joint modelling to the analysis of transition to psychosis. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/11343/228920.

Council of Science Editors:

Yuen HP. Application of joint modelling to the analysis of transition to psychosis. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/228920

9. Vasiljevic, Zoran. Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole .

Degree: Malmö University. Criminology (KR), 2018, Malmö University

 The transition from prison to society is a challenging period for offenders released from prison. Recidivism rates are high, and the offender’s situation can change… (more)

Subjects/Keywords: acute dynamic risk; intervention; paroled offenders; prediction; randomized controlled trial; recidivism

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APA (6th Edition):

Vasiljevic, Z. (2018). Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole . (Thesis). Malmö University. Retrieved from http://hdl.handle.net/2043/24452

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):

Vasiljevic, Zoran. “Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole .” 2018. Thesis, Malmö University. Accessed September 25, 2020. http://hdl.handle.net/2043/24452.

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

MLA Handbook (7th Edition):

Vasiljevic, Zoran. “Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole .” 2018. Web. 25 Sep 2020.

Vancouver:

Vasiljevic Z. Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole . [Internet] [Thesis]. Malmö University; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2043/24452.

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

Council of Science Editors:

Vasiljevic Z. Ambulatory risk assessment and intervention in the prison services : Using Interactive Voice Response to assess and intervene on acute dynamic risk among prisoners on parole . [Thesis]. Malmö University; 2018. Available from: http://hdl.handle.net/2043/24452

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


University of Georgia

10. Samad, Abdul. Finding optimal spanning k-trees in backbone graphs.

Degree: 2014, University of Georgia

 Many intractable problems on graphs are polynomial time solvable when the graphs have bounded treewidth. An important class of the graphs with bounded treewidth is… (more)

Subjects/Keywords: RNA Structure Prediction; K-tree; Tree Decoposition; Dynamic Programming

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APA (6th Edition):

Samad, A. (2014). Finding optimal spanning k-trees in backbone graphs. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/29647

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):

Samad, Abdul. “Finding optimal spanning k-trees in backbone graphs.” 2014. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/29647.

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

MLA Handbook (7th Edition):

Samad, Abdul. “Finding optimal spanning k-trees in backbone graphs.” 2014. Web. 25 Sep 2020.

Vancouver:

Samad A. Finding optimal spanning k-trees in backbone graphs. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/29647.

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

Council of Science Editors:

Samad A. Finding optimal spanning k-trees in backbone graphs. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/29647

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


Virginia Tech

11. Elhenawy, Mohammed Mamdouh Zakaria. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 In this dissertation, new algorithms that address three traffic problems of major importance are developed. First automatic identification and prediction algorithms are developed to identify… (more)

Subjects/Keywords: Machine learning; statistical learning; ITS; Bottlenecks Identification and Prediction; Dynamic Travel Time Prediction; Stop-run Driver Behavior Modeling; and uncontrolled intersection

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APA (6th Edition):

Elhenawy, M. M. Z. (2015). Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73790

Chicago Manual of Style (16th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 25, 2020. http://hdl.handle.net/10919/73790.

MLA Handbook (7th Edition):

Elhenawy, Mohammed Mamdouh Zakaria. “Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections.” 2015. Web. 25 Sep 2020.

Vancouver:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10919/73790.

Council of Science Editors:

Elhenawy MMZ. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73790


KTH

12. Stefanidis, Achilleas. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an… (more)

Subjects/Keywords: Dynamic graph representation learning; Selfattention mechanism; Dynamic link prediction; Inlärning av dynamisk grafrepresentation; Koncentrationsmekanism; Dynamisk länkprognos; Software Engineering; Programvaruteknik

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

APA (6th Edition):

Stefanidis, A. (2020). Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278817

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):

Stefanidis, Achilleas. “Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events.” 2020. Thesis, KTH. Accessed September 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278817.

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

MLA Handbook (7th Edition):

Stefanidis, Achilleas. “Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events.” 2020. Web. 25 Sep 2020.

Vancouver:

Stefanidis A. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events. [Internet] [Thesis]. KTH; 2020. [cited 2020 Sep 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278817.

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

Council of Science Editors:

Stefanidis A. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278817

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


University of Adelaide

13. Choudhry, Amanullah. Unsteady separation control on wind turbine blades.

Degree: 2015, University of Adelaide

Dynamic stall is one of the primary causes of unsteady loads on wind turbine blades. The process can be instigated by a multitude of factors,… (more)

Subjects/Keywords: dynamic stall; wind turbines; unsteady separation; passive flow control; dynamic stall prediction; laminar separation bubble; airfoil; lift

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APA (6th Edition):

Choudhry, A. (2015). Unsteady separation control on wind turbine blades. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/101653

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):

Choudhry, Amanullah. “Unsteady separation control on wind turbine blades.” 2015. Thesis, University of Adelaide. Accessed September 25, 2020. http://hdl.handle.net/2440/101653.

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

MLA Handbook (7th Edition):

Choudhry, Amanullah. “Unsteady separation control on wind turbine blades.” 2015. Web. 25 Sep 2020.

Vancouver:

Choudhry A. Unsteady separation control on wind turbine blades. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2440/101653.

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

Council of Science Editors:

Choudhry A. Unsteady separation control on wind turbine blades. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/101653

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


University of Toronto

14. Clarke, Maggie C. The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders.

Degree: PhD, 2015, University of Toronto

 Risk assessments that include dynamic risk factors are increasingly being utilized within the youth justice system to predict a young person's likelihood to reoffend, to… (more)

Subjects/Keywords: Changes in Risk; Dynamic Risk Factors; Dynamic Risk Prediction; Risk Assessment; YLS/CMI; Youth Offenders; 0622

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APA (6th Edition):

Clarke, M. C. (2015). The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/69302

Chicago Manual of Style (16th Edition):

Clarke, Maggie C. “The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders.” 2015. Doctoral Dissertation, University of Toronto. Accessed September 25, 2020. http://hdl.handle.net/1807/69302.

MLA Handbook (7th Edition):

Clarke, Maggie C. “The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders.” 2015. Web. 25 Sep 2020.

Vancouver:

Clarke MC. The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1807/69302.

Council of Science Editors:

Clarke MC. The Examination of Changes in Dynamic Risk Factors and Recidivism Over Time in Youth Offenders. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69302


University of California – Santa Cruz

15. Caballero Barajas, Karla Lizbeth. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

 Statistical Topic Models has been widely studied in Text Mining as an effective approach to extract latent topics from unstructured text documents. We present a… (more)

Subjects/Keywords: Information technology; Statistics; Information science; Document Retrieval; Dynamic Prediction; Time Series; Topic Models

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

APA (6th Edition):

Caballero Barajas, K. L. (2015). Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/96m0z634

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):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Thesis, University of California – Santa Cruz. Accessed September 25, 2020. http://www.escholarship.org/uc/item/96m0z634.

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

MLA Handbook (7th Edition):

Caballero Barajas, Karla Lizbeth. “Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare.” 2015. Web. 25 Sep 2020.

Vancouver:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2020 Sep 25]. Available from: http://www.escholarship.org/uc/item/96m0z634.

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

Council of Science Editors:

Caballero Barajas KL. Topic Models and Dynamic Prediction Models and their applications in Document Retrieval and Healthcare. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/96m0z634

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


University of Saskatchewan

16. Safari, Nima 1990-. Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems.

Degree: 2018, University of Saskatchewan

 Amid growing concerns about climate change and non-renewable energy sources deple¬tion, vari¬able renewable energy sources (VRESs) are considered as a feasible substitute for conventional environment-polluting… (more)

Subjects/Keywords: Uncertainty modeling; wind power prediction; time series; machine learning; dynamic thermal line rating; tidal energy

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APA (6th Edition):

Safari, N. 1. (2018). Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11532

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):

Safari, Nima 1990-. “Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems.” 2018. Thesis, University of Saskatchewan. Accessed September 25, 2020. http://hdl.handle.net/10388/11532.

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

MLA Handbook (7th Edition):

Safari, Nima 1990-. “Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems.” 2018. Web. 25 Sep 2020.

Vancouver:

Safari N1. Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10388/11532.

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

Council of Science Editors:

Safari N1. Forecasting Models for Integration of Large-Scale Renewable Energy Generation to Electric Power Systems. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/11532

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


Texas A&M University

17. Chin, See Loong. Incomplete gene structure prediction with almost 100% specificity.

Degree: MS, Computer Science, 2004, Texas A&M University

 The goals of gene prediction using computational approaches are to determine gene location and the corresponding functionality of the coding region. A subset of gene… (more)

Subjects/Keywords: Gene Structure Prediction; Dynamic Programming; Specificity

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APA (6th Edition):

Chin, S. L. (2004). Incomplete gene structure prediction with almost 100% specificity. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/258

Chicago Manual of Style (16th Edition):

Chin, See Loong. “Incomplete gene structure prediction with almost 100% specificity.” 2004. Masters Thesis, Texas A&M University. Accessed September 25, 2020. http://hdl.handle.net/1969.1/258.

MLA Handbook (7th Edition):

Chin, See Loong. “Incomplete gene structure prediction with almost 100% specificity.” 2004. Web. 25 Sep 2020.

Vancouver:

Chin SL. Incomplete gene structure prediction with almost 100% specificity. [Internet] [Masters thesis]. Texas A&M University; 2004. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1969.1/258.

Council of Science Editors:

Chin SL. Incomplete gene structure prediction with almost 100% specificity. [Masters Thesis]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/258


University of South Carolina

18. Hossain, Md Akhtar. Multivariate Joint Models and Dynamic Predictions.

Degree: PhD, Statistics, 2020, University of South Carolina

  The joint modeling of longitudinal and time-to-event data is an active area of statistical research that has received a lot of attention. The standard… (more)

Subjects/Keywords: Biostatistics; Dynamic Prediction; Multivariate Joint Model; Ordered Time-to-Event; Survival Analysis

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

APA (6th Edition):

Hossain, M. A. (2020). Multivariate Joint Models and Dynamic Predictions. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5682

Chicago Manual of Style (16th Edition):

Hossain, Md Akhtar. “Multivariate Joint Models and Dynamic Predictions.” 2020. Doctoral Dissertation, University of South Carolina. Accessed September 25, 2020. https://scholarcommons.sc.edu/etd/5682.

MLA Handbook (7th Edition):

Hossain, Md Akhtar. “Multivariate Joint Models and Dynamic Predictions.” 2020. Web. 25 Sep 2020.

Vancouver:

Hossain MA. Multivariate Joint Models and Dynamic Predictions. [Internet] [Doctoral dissertation]. University of South Carolina; 2020. [cited 2020 Sep 25]. Available from: https://scholarcommons.sc.edu/etd/5682.

Council of Science Editors:

Hossain MA. Multivariate Joint Models and Dynamic Predictions. [Doctoral Dissertation]. University of South Carolina; 2020. Available from: https://scholarcommons.sc.edu/etd/5682


Washington State University

19. [No author]. Link Prediction in Dynamic Networks .

Degree: 2015, Washington State University

 Link Prediction in dynamic networks aims to model the patterns of relationship formation between any two agents in a multi-agent network for predicting the future… (more)

Subjects/Keywords: Computer science; Dynamic networks; Feature engineering; Graph mining; Link prediction; Novelty detection; Supervised learning

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

APA (6th Edition):

author], [. (2015). Link Prediction in Dynamic Networks . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/6214

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):

author], [No. “Link Prediction in Dynamic Networks .” 2015. Thesis, Washington State University. Accessed September 25, 2020. http://hdl.handle.net/2376/6214.

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

MLA Handbook (7th Edition):

author], [No. “Link Prediction in Dynamic Networks .” 2015. Web. 25 Sep 2020.

Vancouver:

author] [. Link Prediction in Dynamic Networks . [Internet] [Thesis]. Washington State University; 2015. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2376/6214.

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

Council of Science Editors:

author] [. Link Prediction in Dynamic Networks . [Thesis]. Washington State University; 2015. Available from: http://hdl.handle.net/2376/6214

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


Queensland University of Technology

20. Wang, Ruizi. Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS).

Degree: 2012, Queensland University of Technology

 The serviceability and safety of bridges are crucial to people’s daily lives and to the national economy. Every effort should be taken to make sure… (more)

Subjects/Keywords: health prediction; dynamic object oriented Bayesian networks (DOOBNS); bridge deterioration model; condition states; structural reliability

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

APA (6th Edition):

Wang, R. (2012). Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS). (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/53204/

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):

Wang, Ruizi. “Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS).” 2012. Thesis, Queensland University of Technology. Accessed September 25, 2020. https://eprints.qut.edu.au/53204/.

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

MLA Handbook (7th Edition):

Wang, Ruizi. “Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS).” 2012. Web. 25 Sep 2020.

Vancouver:

Wang R. Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS). [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2020 Sep 25]. Available from: https://eprints.qut.edu.au/53204/.

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

Council of Science Editors:

Wang R. Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS). [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/53204/

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


University of Bradford

21. Alawar, Hamad Mansoor Mohd Aqil. An investigation into the relationship between static and dynamic gait features : a biometrics perspective.

Degree: PhD, 2014, University of Bradford

 Biometrics is a unique physical or behavioral characteristic of a person. This unique attribute, such as fingerprints or gait, can be used for identification or… (more)

Subjects/Keywords: 612.7; Gait recognition; Biometrics; Motion capture; 3d laser scan; Static; Dynamic; Database; Forensics; Prediction; Walk

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

APA (6th Edition):

Alawar, H. M. M. A. (2014). An investigation into the relationship between static and dynamic gait features : a biometrics perspective. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/13840

Chicago Manual of Style (16th Edition):

Alawar, Hamad Mansoor Mohd Aqil. “An investigation into the relationship between static and dynamic gait features : a biometrics perspective.” 2014. Doctoral Dissertation, University of Bradford. Accessed September 25, 2020. http://hdl.handle.net/10454/13840.

MLA Handbook (7th Edition):

Alawar, Hamad Mansoor Mohd Aqil. “An investigation into the relationship between static and dynamic gait features : a biometrics perspective.” 2014. Web. 25 Sep 2020.

Vancouver:

Alawar HMMA. An investigation into the relationship between static and dynamic gait features : a biometrics perspective. [Internet] [Doctoral dissertation]. University of Bradford; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10454/13840.

Council of Science Editors:

Alawar HMMA. An investigation into the relationship between static and dynamic gait features : a biometrics perspective. [Doctoral Dissertation]. University of Bradford; 2014. Available from: http://hdl.handle.net/10454/13840


University of Oklahoma

22. Ramachandran, Madhumitha. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.

Degree: PhD, 2019, University of Oklahoma

 The capital-intensive oil & gas industry invests billions of dollars in equipment annually and it is important to keep the equipment in top operating condition… (more)

Subjects/Keywords: prognostics; dynamic seals; data-driven; machine learning; prediction; oil & gas; rotary; reciprocating; degradation; forecasting

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APA (6th Edition):

Ramachandran, M. (2019). Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/323256

Chicago Manual of Style (16th Edition):

Ramachandran, Madhumitha. “Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed September 25, 2020. http://hdl.handle.net/11244/323256.

MLA Handbook (7th Edition):

Ramachandran, Madhumitha. “Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry.” 2019. Web. 25 Sep 2020.

Vancouver:

Ramachandran M. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/11244/323256.

Council of Science Editors:

Ramachandran M. Intelligent Condition Monitoring and Prognostic Methods with Applications to Dynamic Seals in the Oil & Gas Industry. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/323256


Delft University of Technology

23. Scholten, F.J.M. (author). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.

Degree: 2015, Delft University of Technology

Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of… (more)

Subjects/Keywords: traffic state estimation; Ensemble Kalman Filter; dynamic traffic management; traffic state prediction

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APA (6th Edition):

Scholten, F. J. M. (. (2015). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

Chicago Manual of Style (16th Edition):

Scholten, F J M (author). “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.” 2015. Masters Thesis, Delft University of Technology. Accessed September 25, 2020. http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

MLA Handbook (7th Edition):

Scholten, F J M (author). “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.” 2015. Web. 25 Sep 2020.

Vancouver:

Scholten FJM(. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Sep 25]. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

Council of Science Editors:

Scholten FJM(. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969


University of Western Ontario

24. Yu, Bing. A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family.

Degree: 2017, University of Western Ontario

 The purpose of this study was to compare shared frailty model, joint frailty model and joint nested frailty model in terms of model fitting and… (more)

Subjects/Keywords: Joint modelling; frailty; cancer screening; dynamic prediction; time-to-event data; family data

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APA (6th Edition):

Yu, B. (2017). A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5145

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):

Yu, Bing. “A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family.” 2017. Thesis, University of Western Ontario. Accessed September 25, 2020. https://ir.lib.uwo.ca/etd/5145.

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

MLA Handbook (7th Edition):

Yu, Bing. “A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family.” 2017. Web. 25 Sep 2020.

Vancouver:

Yu B. A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2020 Sep 25]. Available from: https://ir.lib.uwo.ca/etd/5145.

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

Council of Science Editors:

Yu B. A comparison of three prediction modelling approaches for clustered survival data with application to Lynch Syndrome Family. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/5145

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


University of Toronto

25. Zaleski, Mathew. YETI: a GraduallY Extensible Trace Interpreter.

Degree: 2008, University of Toronto

The implementation of new programming languages benefits from interpretation because it is simple, flexible and portable. The only downside is speed of execution, as there… (more)

Subjects/Keywords: dynamic optimization interpretation; branch prediction; 0984

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APA (6th Edition):

Zaleski, M. (2008). YETI: a GraduallY Extensible Trace Interpreter. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/11282

Chicago Manual of Style (16th Edition):

Zaleski, Mathew. “YETI: a GraduallY Extensible Trace Interpreter.” 2008. Doctoral Dissertation, University of Toronto. Accessed September 25, 2020. http://hdl.handle.net/1807/11282.

MLA Handbook (7th Edition):

Zaleski, Mathew. “YETI: a GraduallY Extensible Trace Interpreter.” 2008. Web. 25 Sep 2020.

Vancouver:

Zaleski M. YETI: a GraduallY Extensible Trace Interpreter. [Internet] [Doctoral dissertation]. University of Toronto; 2008. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1807/11282.

Council of Science Editors:

Zaleski M. YETI: a GraduallY Extensible Trace Interpreter. [Doctoral Dissertation]. University of Toronto; 2008. Available from: http://hdl.handle.net/1807/11282


University of Arizona

26. Wu, Fan. Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control .

Degree: 2008, University of Arizona

 Network traffic assignment/equilibrium models have been widely used for transportation planning. For traffic management, one is interested on how traffic patterns change dynamically since equilibrium… (more)

Subjects/Keywords: routes trajectories traffic prediction control dynamic

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

APA (6th Edition):

Wu, F. (2008). Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195200

Chicago Manual of Style (16th Edition):

Wu, Fan. “Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control .” 2008. Doctoral Dissertation, University of Arizona. Accessed September 25, 2020. http://hdl.handle.net/10150/195200.

MLA Handbook (7th Edition):

Wu, Fan. “Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control .” 2008. Web. 25 Sep 2020.

Vancouver:

Wu F. Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control . [Internet] [Doctoral dissertation]. University of Arizona; 2008. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10150/195200.

Council of Science Editors:

Wu F. Routes And Trajectories Based Dynamic Models For Traffic Prediction And Control . [Doctoral Dissertation]. University of Arizona; 2008. Available from: http://hdl.handle.net/10150/195200

27. Micolet, Paul-Jules René Régis. From software to hardware : making dynamic multi-core processors practical.

Degree: PhD, 2019, University of Edinburgh

 Heterogeneous processors such as Arm's big.LITTLE have become popular as they offer a choice between performance and energy efficiency. However, the core configurations are fixed… (more)

Subjects/Keywords: Dynamic Multi-core Processors; DMPs; reconfiguration; machine learning; big.LITTLE; fetching mechanism; value prediction; performance factor

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APA (6th Edition):

Micolet, P. R. R. (2019). From software to hardware : making dynamic multi-core processors practical. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36106

Chicago Manual of Style (16th Edition):

Micolet, Paul-Jules René Régis. “From software to hardware : making dynamic multi-core processors practical.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed September 25, 2020. http://hdl.handle.net/1842/36106.

MLA Handbook (7th Edition):

Micolet, Paul-Jules René Régis. “From software to hardware : making dynamic multi-core processors practical.” 2019. Web. 25 Sep 2020.

Vancouver:

Micolet PRR. From software to hardware : making dynamic multi-core processors practical. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/1842/36106.

Council of Science Editors:

Micolet PRR. From software to hardware : making dynamic multi-core processors practical. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36106


University of Georgia

28. Wu, Yunzhou. Implementation improvements to an rna pseudoknot prediction algorithm.

Degree: 2014, University of Georgia

 The general problem of RNA pseudoknot prediction is computationally intractable. Most existing algorithms require the worst case CPU time O(N6) and RAM space O(N4) even… (more)

Subjects/Keywords: RNA pseudoknot prediction; Dynamic programming; Memory mapping; Parallell computation; Stochastic grammar modeling

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

APA (6th Edition):

Wu, Y. (2014). Implementation improvements to an rna pseudoknot prediction algorithm. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/20958

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):

Wu, Yunzhou. “Implementation improvements to an rna pseudoknot prediction algorithm.” 2014. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/20958.

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

MLA Handbook (7th Edition):

Wu, Yunzhou. “Implementation improvements to an rna pseudoknot prediction algorithm.” 2014. Web. 25 Sep 2020.

Vancouver:

Wu Y. Implementation improvements to an rna pseudoknot prediction algorithm. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/20958.

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

Council of Science Editors:

Wu Y. Implementation improvements to an rna pseudoknot prediction algorithm. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/20958

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


University of Georgia

29. Shareghi Arani, Pooya. Graph generating systems for predicting biological structures.

Degree: 2014, University of Georgia

 Computational predictions of RNA and protein structures have become necessary complements to the expensive experimental methods of structure elucidation. In this dissertation, we present two… (more)

Subjects/Keywords: RNA Structure Prediction; Coaxial Stacking; Tree-decomposition; Dynamic Programming; Graph Generating System

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

APA (6th Edition):

Shareghi Arani, P. (2014). Graph generating systems for predicting biological structures. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/28106

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):

Shareghi Arani, Pooya. “Graph generating systems for predicting biological structures.” 2014. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/28106.

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

MLA Handbook (7th Edition):

Shareghi Arani, Pooya. “Graph generating systems for predicting biological structures.” 2014. Web. 25 Sep 2020.

Vancouver:

Shareghi Arani P. Graph generating systems for predicting biological structures. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/28106.

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

Council of Science Editors:

Shareghi Arani P. Graph generating systems for predicting biological structures. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/28106

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


Virginia Tech

30. Chen, Hao. Real-time Traffic State Prediction: Modeling and Applications.

Degree: PhD, Civil and Environmental Engineering, 2014, Virginia Tech

 Travel-time information is essential in Advanced Traveler Information Systems (ATISs) and Advanced Traffic Management Systems (ATMSs). A key component of these systems is the prediction(more)

Subjects/Keywords: Traffic state prediction; travel time prediction; instantaneous and experienced travel times; Van Aerde model; macroscopic traffic model; computer vision and pattern recognition; dynamic template matching; particle filter; agent-based model

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APA (6th Edition):

Chen, H. (2014). Real-time Traffic State Prediction: Modeling and Applications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64292

Chicago Manual of Style (16th Edition):

Chen, Hao. “Real-time Traffic State Prediction: Modeling and Applications.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 25, 2020. http://hdl.handle.net/10919/64292.

MLA Handbook (7th Edition):

Chen, Hao. “Real-time Traffic State Prediction: Modeling and Applications.” 2014. Web. 25 Sep 2020.

Vancouver:

Chen H. Real-time Traffic State Prediction: Modeling and Applications. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10919/64292.

Council of Science Editors:

Chen H. Real-time Traffic State Prediction: Modeling and Applications. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64292

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