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You searched for subject:(Probabilistic planning). Showing records 1 – 30 of 61 total matches.

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Carnegie Mellon University

1. Trevizan, Felipe W. Short-Sighted Probabilistic Planning.

Degree: 2013, Carnegie Mellon University

Planning is an essential part of intelligent behavior and a ubiquitous task for both humans and rational agents. One framework for planning in the presence… (more)

Subjects/Keywords: probabilistic planning; short-sighted planning; planning under uncertainty; optimal planning

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APA (6th Edition):

Trevizan, F. W. (2013). Short-Sighted Probabilistic Planning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/274

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):

Trevizan, Felipe W. “Short-Sighted Probabilistic Planning.” 2013. Thesis, Carnegie Mellon University. Accessed August 14, 2020. http://repository.cmu.edu/dissertations/274.

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

MLA Handbook (7th Edition):

Trevizan, Felipe W. “Short-Sighted Probabilistic Planning.” 2013. Web. 14 Aug 2020.

Vancouver:

Trevizan FW. Short-Sighted Probabilistic Planning. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2020 Aug 14]. Available from: http://repository.cmu.edu/dissertations/274.

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

Council of Science Editors:

Trevizan FW. Short-Sighted Probabilistic Planning. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/274

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


Michigan Technological University

2. Li, Li. GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS.

Degree: PhD, Department of Computer Science, 2015, Michigan Technological University

Planning in realistic domains typically involves reasoning under uncertainty, operating under time and resource constraints, and finding the optimal subset of goals to work… (more)

Subjects/Keywords: concurrent; oversubscribed; planning; probabilistic; Artificial Intelligence and Robotics

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APA (6th Edition):

Li, L. (2015). GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS. (Doctoral Dissertation). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/943

Chicago Manual of Style (16th Edition):

Li, Li. “GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS.” 2015. Doctoral Dissertation, Michigan Technological University. Accessed August 14, 2020. http://digitalcommons.mtu.edu/etds/943.

MLA Handbook (7th Edition):

Li, Li. “GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS.” 2015. Web. 14 Aug 2020.

Vancouver:

Li L. GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS. [Internet] [Doctoral dissertation]. Michigan Technological University; 2015. [cited 2020 Aug 14]. Available from: http://digitalcommons.mtu.edu/etds/943.

Council of Science Editors:

Li L. GENERATING PLANS IN CONCURRENT, PROBABILISTIC, OVER-SUBSCRIBED DOMAINS. [Doctoral Dissertation]. Michigan Technological University; 2015. Available from: http://digitalcommons.mtu.edu/etds/943


Texas A&M University

3. Ekenna, Chinwe Pamela. Improved Sampling Based Motion Planning Through Local Learning.

Degree: PhD, Computer Science, 2016, Texas A&M University

 Every motion made by a moving object is either planned implicitly, e.g., human natural movement from one point to another, or explicitly, e.g., pre-planned information… (more)

Subjects/Keywords: motion planning; reinforcement learning; robotics; protein folding; probabilistic roadmap methods

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APA (6th Edition):

Ekenna, C. P. (2016). Improved Sampling Based Motion Planning Through Local Learning. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157730

Chicago Manual of Style (16th Edition):

Ekenna, Chinwe Pamela. “Improved Sampling Based Motion Planning Through Local Learning.” 2016. Doctoral Dissertation, Texas A&M University. Accessed August 14, 2020. http://hdl.handle.net/1969.1/157730.

MLA Handbook (7th Edition):

Ekenna, Chinwe Pamela. “Improved Sampling Based Motion Planning Through Local Learning.” 2016. Web. 14 Aug 2020.

Vancouver:

Ekenna CP. Improved Sampling Based Motion Planning Through Local Learning. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1969.1/157730.

Council of Science Editors:

Ekenna CP. Improved Sampling Based Motion Planning Through Local Learning. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157730


Texas A&M University

4. Mahadevan, Aditya. Multi-robot Caravanning.

Degree: MS, Computer Science, 2013, Texas A&M University

 We study multi-robot caravanning, which is loosely defined as the problem of a heterogeneous team of robots visiting specific areas of an environment (waypoints) as… (more)

Subjects/Keywords: Motion planning; robotics; multi-agent systems; probabilistic roadmaps; caravanning; heterogeneous robots

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APA (6th Edition):

Mahadevan, A. (2013). Multi-robot Caravanning. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151689

Chicago Manual of Style (16th Edition):

Mahadevan, Aditya. “Multi-robot Caravanning.” 2013. Masters Thesis, Texas A&M University. Accessed August 14, 2020. http://hdl.handle.net/1969.1/151689.

MLA Handbook (7th Edition):

Mahadevan, Aditya. “Multi-robot Caravanning.” 2013. Web. 14 Aug 2020.

Vancouver:

Mahadevan A. Multi-robot Caravanning. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1969.1/151689.

Council of Science Editors:

Mahadevan A. Multi-robot Caravanning. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151689

5. Aryal, Durga. Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 Reliability of power transmission systems are threatened due to the increasing uncertainties arising from penetration of renewable energy sources, load growth, energy de-regulation and changing… (more)

Subjects/Keywords: stability studies; probabilistic planning

Probabilistic Transmission Planning 38 3.1 Introduction… …Framework of Probabilistic Transmission Planning . . . . . . . . . . . 45 3.3.4 Challenges in… …Probabilistic Transmission Planning . . . . . . . . . . . 47 Framework of Probabilistic Transmission… …probabilistic transmission planning . . . . . . . . . . . . . 49 3.2 Block diagram of k-means… …framework of probabilistic transmission planning was developed at ERCOT which is also presented in… 

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APA (6th Edition):

Aryal, D. (2019). Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87401

Chicago Manual of Style (16th Edition):

Aryal, Durga. “Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid.” 2019. Masters Thesis, Virginia Tech. Accessed August 14, 2020. http://hdl.handle.net/10919/87401.

MLA Handbook (7th Edition):

Aryal, Durga. “Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid.” 2019. Web. 14 Aug 2020.

Vancouver:

Aryal D. Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10919/87401.

Council of Science Editors:

Aryal D. Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87401


University of Technology, Sydney

6. Pagano, David. Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments.

Degree: 2018, University of Technology, Sydney

 Many ferromagnetic structures require continuous inspection and maintenance routines to ensure longevity, structural integrity and aesthetics. For most structures, routines are performed by teams of… (more)

Subjects/Keywords: Inchworm robot.; Probabilistic force field.; Robot Motion Planning.; Robot modelling.

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APA (6th Edition):

Pagano, D. (2018). Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/128021

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):

Pagano, David. “Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments.” 2018. Thesis, University of Technology, Sydney. Accessed August 14, 2020. http://hdl.handle.net/10453/128021.

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

MLA Handbook (7th Edition):

Pagano, David. “Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments.” 2018. Web. 14 Aug 2020.

Vancouver:

Pagano D. Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments. [Internet] [Thesis]. University of Technology, Sydney; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10453/128021.

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

Council of Science Editors:

Pagano D. Uncertainty modelling and motion planning of an inchworm robot navigating in complex structural environments. [Thesis]. University of Technology, Sydney; 2018. Available from: http://hdl.handle.net/10453/128021

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


University of Minnesota

7. Noori, Narges. Adversarial and Stochastic Search for Mobile Targets in Complex Environments.

Degree: PhD, Computer Science, 2016, University of Minnesota

 A new era of robotics has begun. In this era, robots are coming out of simple, structured environments (such as factory floors) into the real… (more)

Subjects/Keywords: Algorithm; Environmental monitoring; Motion planning; Probabilistic search; Pursuit-evasion games; Robotics

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APA (6th Edition):

Noori, N. (2016). Adversarial and Stochastic Search for Mobile Targets in Complex Environments. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/178937

Chicago Manual of Style (16th Edition):

Noori, Narges. “Adversarial and Stochastic Search for Mobile Targets in Complex Environments.” 2016. Doctoral Dissertation, University of Minnesota. Accessed August 14, 2020. http://hdl.handle.net/11299/178937.

MLA Handbook (7th Edition):

Noori, Narges. “Adversarial and Stochastic Search for Mobile Targets in Complex Environments.” 2016. Web. 14 Aug 2020.

Vancouver:

Noori N. Adversarial and Stochastic Search for Mobile Targets in Complex Environments. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11299/178937.

Council of Science Editors:

Noori N. Adversarial and Stochastic Search for Mobile Targets in Complex Environments. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/178937


University of Waterloo

8. Salmon, Ricardo. On the relationship between satisfiability and partially observable Markov decision processes.

Degree: 2018, University of Waterloo

 Stochastic satisfiability (SSAT), Quantified Boolean Satisfiability (QBF) and decision-theoretic planning in finite horizon partially observable Markov decision processes (POMDPs) are all PSPACE-Complete problems. Since they… (more)

Subjects/Keywords: POMDP; Stochastic SAT; Satisfiability; Planning; Probabilistic Inference; SAT; QBF

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APA (6th Edition):

Salmon, R. (2018). On the relationship between satisfiability and partially observable Markov decision processes. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13951

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):

Salmon, Ricardo. “On the relationship between satisfiability and partially observable Markov decision processes.” 2018. Thesis, University of Waterloo. Accessed August 14, 2020. http://hdl.handle.net/10012/13951.

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

MLA Handbook (7th Edition):

Salmon, Ricardo. “On the relationship between satisfiability and partially observable Markov decision processes.” 2018. Web. 14 Aug 2020.

Vancouver:

Salmon R. On the relationship between satisfiability and partially observable Markov decision processes. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10012/13951.

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

Council of Science Editors:

Salmon R. On the relationship between satisfiability and partially observable Markov decision processes. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13951

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


Delft University of Technology

9. van Bekkum, Rob (author). Learning and Optimizing Probabilistic Models for Planning under Uncertainty.

Degree: 2017, Delft University of Technology

Decision-theoretic planning techniques are increasingly being used to obtain (optimal) plans for domains involving uncertainty, which may be present in the form of the controlling… (more)

Subjects/Keywords: planning under uncertainty; Bayesian Optimization; probabilistic model learning; Markov Decision Processes; decision-theoretic planning

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APA (6th Edition):

van Bekkum, R. (. (2017). Learning and Optimizing Probabilistic Models for Planning under Uncertainty. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:37e80be9-ab78-427b-b317-c5529a752d7d

Chicago Manual of Style (16th Edition):

van Bekkum, Rob (author). “Learning and Optimizing Probabilistic Models for Planning under Uncertainty.” 2017. Masters Thesis, Delft University of Technology. Accessed August 14, 2020. http://resolver.tudelft.nl/uuid:37e80be9-ab78-427b-b317-c5529a752d7d.

MLA Handbook (7th Edition):

van Bekkum, Rob (author). “Learning and Optimizing Probabilistic Models for Planning under Uncertainty.” 2017. Web. 14 Aug 2020.

Vancouver:

van Bekkum R(. Learning and Optimizing Probabilistic Models for Planning under Uncertainty. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Aug 14]. Available from: http://resolver.tudelft.nl/uuid:37e80be9-ab78-427b-b317-c5529a752d7d.

Council of Science Editors:

van Bekkum R(. Learning and Optimizing Probabilistic Models for Planning under Uncertainty. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:37e80be9-ab78-427b-b317-c5529a752d7d

10. Delgado, Karina Valdivia. Processos de decisão Markovianos fatorados com probabilidades imprecisas.

Degree: PhD, Ciência da Computação, 2010, University of São Paulo

Em geral, quando modelamos problemas de planejamento probabilístico do mundo real, usando o arcabouço de Processos de Decisão Markovianos (MDPs), é difícil obter uma estimativa… (more)

Subjects/Keywords: Markov decision processes; planejamento probabilstico; planejamento robusto.; planejamento sob incerteza; planning under uncertainty; probabilistic planning; Processos de decisão Markovianos; robust planning.

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APA (6th Edition):

Delgado, K. V. (2010). Processos de decisão Markovianos fatorados com probabilidades imprecisas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-28112010-095311/ ;

Chicago Manual of Style (16th Edition):

Delgado, Karina Valdivia. “Processos de decisão Markovianos fatorados com probabilidades imprecisas.” 2010. Doctoral Dissertation, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-28112010-095311/ ;.

MLA Handbook (7th Edition):

Delgado, Karina Valdivia. “Processos de decisão Markovianos fatorados com probabilidades imprecisas.” 2010. Web. 14 Aug 2020.

Vancouver:

Delgado KV. Processos de decisão Markovianos fatorados com probabilidades imprecisas. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-28112010-095311/ ;.

Council of Science Editors:

Delgado KV. Processos de decisão Markovianos fatorados com probabilidades imprecisas. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-28112010-095311/ ;


University of California – Irvine

11. Lee, Junkyu. Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network.

Degree: Computer Science, 2014, University of California – Irvine

Probabilistic conformant planning is a task of finding a plan that achieves the goal without sensing, where the outcome of an action is probabilistic and… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Conformant Planning; Dynamic Bayesian Network; Graphical Model; Probabilistic Inference

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APA (6th Edition):

Lee, J. (2014). Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9xk0s6jb

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):

Lee, Junkyu. “Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network.” 2014. Thesis, University of California – Irvine. Accessed August 14, 2020. http://www.escholarship.org/uc/item/9xk0s6jb.

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

MLA Handbook (7th Edition):

Lee, Junkyu. “Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network.” 2014. Web. 14 Aug 2020.

Vancouver:

Lee J. Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Aug 14]. Available from: http://www.escholarship.org/uc/item/9xk0s6jb.

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

Council of Science Editors:

Lee J. Compiling Probabilistic Conformant Planning into Mixed Dynamic Bayesian Network. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/9xk0s6jb

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


RMIT University

12. Yousif, N. Subsynchronous resonance risk assessment in interconnected power systems.

Degree: 2011, RMIT University

  Series compensation and high voltage direct current (HVDC) links, technically increase the viability of suppling remote areas by long loading transmission lines, or connecting new… (more)

Subjects/Keywords: Fields of Research; Subsynchronous resonance; power system analysis; probabilistic planning; power system stability

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APA (6th Edition):

Yousif, N. (2011). Subsynchronous resonance risk assessment in interconnected power systems. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160026

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):

Yousif, N. “Subsynchronous resonance risk assessment in interconnected power systems.” 2011. Thesis, RMIT University. Accessed August 14, 2020. http://researchbank.rmit.edu.au/view/rmit:160026.

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

MLA Handbook (7th Edition):

Yousif, N. “Subsynchronous resonance risk assessment in interconnected power systems.” 2011. Web. 14 Aug 2020.

Vancouver:

Yousif N. Subsynchronous resonance risk assessment in interconnected power systems. [Internet] [Thesis]. RMIT University; 2011. [cited 2020 Aug 14]. Available from: http://researchbank.rmit.edu.au/view/rmit:160026.

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

Council of Science Editors:

Yousif N. Subsynchronous resonance risk assessment in interconnected power systems. [Thesis]. RMIT University; 2011. Available from: http://researchbank.rmit.edu.au/view/rmit:160026

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


Delft University of Technology

13. Mukolwe, M.M. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.

Degree: 2016, Delft University of Technology

 Computers are increasingly used in the simulation of natural phenomena such as floods. However, these simulations are based on numerical approximations of equations formalizing our… (more)

Subjects/Keywords: uncertainty; probabilistic flood map; floodplain planning

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APA (6th Edition):

Mukolwe, M. M. (2016). Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742

Chicago Manual of Style (16th Edition):

Mukolwe, M M. “Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.” 2016. Doctoral Dissertation, Delft University of Technology. Accessed August 14, 2020. http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742.

MLA Handbook (7th Edition):

Mukolwe, M M. “Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.” 2016. Web. 14 Aug 2020.

Vancouver:

Mukolwe MM. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. [Internet] [Doctoral dissertation]. Delft University of Technology; 2016. [cited 2020 Aug 14]. Available from: http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742.

Council of Science Editors:

Mukolwe MM. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. [Doctoral Dissertation]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742 ; http://resolver.tudelft.nl/uuid:0d9817a2-82e7-4dc2-919d-5e23132c4742


Brigham Young University

14. Seaman, Iris Rubi. Probabilistic Programming for Theory of Mind for Autonomous Decision Making.

Degree: MS, 2018, Brigham Young University

 As autonomous agents (such as unmanned aerial vehicles, or UAVs) become more ubiquitous, they are being used for increasingly complex tasks. Eventually, they will have… (more)

Subjects/Keywords: probabilistic programming; autonomous; decision making; planning; nested inference; Theory of Mind; Computer Sciences

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APA (6th Edition):

Seaman, I. R. (2018). Probabilistic Programming for Theory of Mind for Autonomous Decision Making. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7826&context=etd

Chicago Manual of Style (16th Edition):

Seaman, Iris Rubi. “Probabilistic Programming for Theory of Mind for Autonomous Decision Making.” 2018. Masters Thesis, Brigham Young University. Accessed August 14, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7826&context=etd.

MLA Handbook (7th Edition):

Seaman, Iris Rubi. “Probabilistic Programming for Theory of Mind for Autonomous Decision Making.” 2018. Web. 14 Aug 2020.

Vancouver:

Seaman IR. Probabilistic Programming for Theory of Mind for Autonomous Decision Making. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2020 Aug 14]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7826&context=etd.

Council of Science Editors:

Seaman IR. Probabilistic Programming for Theory of Mind for Autonomous Decision Making. [Masters Thesis]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7826&context=etd

15. Fattahi, Ali. Mass Customization: Theories and Application.

Degree: Management (MS/PHD), 2019, UCLA

 As a general trend, firms are moving towards mass customization by allowing customers to configure products by selecting among options (features), e.g. automotive industry, consumer… (more)

Subjects/Keywords: Management; Mathematics; Capacity Planning; Forecasting; Mass Customization; Non-negative Least Squares; Optimization; Probabilistic Satisfiability

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

APA (6th Edition):

Fattahi, A. (2019). Mass Customization: Theories and Application. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3rf6w6kw

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):

Fattahi, Ali. “Mass Customization: Theories and Application.” 2019. Thesis, UCLA. Accessed August 14, 2020. http://www.escholarship.org/uc/item/3rf6w6kw.

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

MLA Handbook (7th Edition):

Fattahi, Ali. “Mass Customization: Theories and Application.” 2019. Web. 14 Aug 2020.

Vancouver:

Fattahi A. Mass Customization: Theories and Application. [Internet] [Thesis]. UCLA; 2019. [cited 2020 Aug 14]. Available from: http://www.escholarship.org/uc/item/3rf6w6kw.

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

Council of Science Editors:

Fattahi A. Mass Customization: Theories and Application. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/3rf6w6kw

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


University of Arizona

16. Jain, Shubham. Adaptable Safe Path Planning Under Uncertainty Constraints .

Degree: 2019, University of Arizona

 Path Planning in robotics is an open fundamental problem in fully autonomous or manipulator systems. Many standardized algorithms have been proposed taking a different aspect… (more)

Subjects/Keywords: Critical Regions; Flexible Constraints; Probabilistic Roadmap Planners; Safe Path Planning; Uncertainty Constraints; Virtual Regions

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APA (6th Edition):

Jain, S. (2019). Adaptable Safe Path Planning Under Uncertainty Constraints . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/633134

Chicago Manual of Style (16th Edition):

Jain, Shubham. “Adaptable Safe Path Planning Under Uncertainty Constraints .” 2019. Masters Thesis, University of Arizona. Accessed August 14, 2020. http://hdl.handle.net/10150/633134.

MLA Handbook (7th Edition):

Jain, Shubham. “Adaptable Safe Path Planning Under Uncertainty Constraints .” 2019. Web. 14 Aug 2020.

Vancouver:

Jain S. Adaptable Safe Path Planning Under Uncertainty Constraints . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10150/633134.

Council of Science Editors:

Jain S. Adaptable Safe Path Planning Under Uncertainty Constraints . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633134


Delft University of Technology

17. Mukolwe, M.M. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.

Degree: 2016, Delft University of Technology

 Computers are increasingly used in the simulation of natural phenomena such as floods. However, these simulations are based on numerical approximations of equations formalizing our… (more)

Subjects/Keywords: uncertainty; probabilistic flood map; floodplain planning

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APA (6th Edition):

Mukolwe, M. M. (2016). Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; ae8304ba-aecf-4908-a856-f9da08cdf3ed ; 10.4233/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed

Chicago Manual of Style (16th Edition):

Mukolwe, M M. “Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.” 2016. Doctoral Dissertation, Delft University of Technology. Accessed August 14, 2020. http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; ae8304ba-aecf-4908-a856-f9da08cdf3ed ; 10.4233/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed.

MLA Handbook (7th Edition):

Mukolwe, M M. “Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process.” 2016. Web. 14 Aug 2020.

Vancouver:

Mukolwe MM. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. [Internet] [Doctoral dissertation]. Delft University of Technology; 2016. [cited 2020 Aug 14]. Available from: http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; ae8304ba-aecf-4908-a856-f9da08cdf3ed ; 10.4233/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed.

Council of Science Editors:

Mukolwe MM. Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process. [Doctoral Dissertation]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; ae8304ba-aecf-4908-a856-f9da08cdf3ed ; 10.4233/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; urn:isbn:978-1-138-03286-6 ; urn:NBN:nl:ui:24-uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed ; http://resolver.tudelft.nl/uuid:ae8304ba-aecf-4908-a856-f9da08cdf3ed


Texas A&M University

18. Denny, Jory London. Collaborative Motion Planning.

Degree: PhD, Computer Science, 2016, Texas A&M University

Planning motion is an essential component for any autonomous robotic system. An intelligent agent must be able to efficiently plan collision-free paths in order to… (more)

Subjects/Keywords: Robotics; Motion Planning; Sampling-based Motion Planning; Probabilistic Roadmaps; Rapidly-exploring Random Trees; User-guided Motion Planning; Collaborative Motion Planning; Region-based Collaborative Planning

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

APA (6th Edition):

Denny, J. L. (2016). Collaborative Motion Planning. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157715

Chicago Manual of Style (16th Edition):

Denny, Jory London. “Collaborative Motion Planning.” 2016. Doctoral Dissertation, Texas A&M University. Accessed August 14, 2020. http://hdl.handle.net/1969.1/157715.

MLA Handbook (7th Edition):

Denny, Jory London. “Collaborative Motion Planning.” 2016. Web. 14 Aug 2020.

Vancouver:

Denny JL. Collaborative Motion Planning. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/1969.1/157715.

Council of Science Editors:

Denny JL. Collaborative Motion Planning. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157715

19. Dias, Daniel Baptista. Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas.

Degree: Mestrado, Ciência da Computação, 2014, University of São Paulo

Em problemas de tomada de decisão sequencial modelados como Processos de Decisão Markovianos (MDP) pode não ser possível obter uma medida exata para as probabilidades… (more)

Subjects/Keywords: Markov Decision Processes with Imprecise Probabilities; planejamento probabilístico; planejamento robusto; probabilistic planning; processos de decisão markovianos com probabilidades imprecisas; robust planning

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APA (6th Edition):

Dias, D. B. (2014). Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-21012015-083016/ ;

Chicago Manual of Style (16th Edition):

Dias, Daniel Baptista. “Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas.” 2014. Masters Thesis, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-21012015-083016/ ;.

MLA Handbook (7th Edition):

Dias, Daniel Baptista. “Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas.” 2014. Web. 14 Aug 2020.

Vancouver:

Dias DB. Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-21012015-083016/ ;.

Council of Science Editors:

Dias DB. Programação dinâmica em tempo real para processos de decisão markovianos com probabilidades imprecisas. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-21012015-083016/ ;


Virginia Commonwealth University

20. Moore, Joseph. Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties.

Degree: PhD, Medical Physics, 2011, Virginia Commonwealth University

 External-beam radiotherapy is one of the primary methods for treating cancer. Typically a radiotherapy treatment course consists of radiation delivered to the patient in multiple… (more)

Subjects/Keywords: probabilistic planning; setup errors; margins; inverse planning; Health and Medical Physics; Medicine and Health Sciences; Public Health

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APA (6th Edition):

Moore, J. (2011). Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/K405-4T32 ; https://scholarscompass.vcu.edu/etd/218

Chicago Manual of Style (16th Edition):

Moore, Joseph. “Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties.” 2011. Doctoral Dissertation, Virginia Commonwealth University. Accessed August 14, 2020. https://doi.org/10.25772/K405-4T32 ; https://scholarscompass.vcu.edu/etd/218.

MLA Handbook (7th Edition):

Moore, Joseph. “Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties.” 2011. Web. 14 Aug 2020.

Vancouver:

Moore J. Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2011. [cited 2020 Aug 14]. Available from: https://doi.org/10.25772/K405-4T32 ; https://scholarscompass.vcu.edu/etd/218.

Council of Science Editors:

Moore J. Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties. [Doctoral Dissertation]. Virginia Commonwealth University; 2011. Available from: https://doi.org/10.25772/K405-4T32 ; https://scholarscompass.vcu.edu/etd/218

21. Casani Delgado, Daniel Javier. Planejamento probabilístico como busca num espaço de transição de estados.

Degree: Mestrado, Ciência da Computação, 2013, University of São Paulo

Um dos modelos mais usados para descrever problemas de planejamento probabilístico, i.e., planejamento de ações com efeitos probabilísticos, é o processo de decisão markoviano (Markov… (more)

Subjects/Keywords: Busca em grafos AND/OR com transições probabilísticas; Planejamento probabilístico; Probabilistic planning; Programação Dinâmica em Tempo Real; Real-Time Dynamic Programming; Search in graphs AND/OR with probabilistic transitions

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

APA (6th Edition):

Casani Delgado, D. J. (2013). Planejamento probabilístico como busca num espaço de transição de estados. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04062013-060258/ ;

Chicago Manual of Style (16th Edition):

Casani Delgado, Daniel Javier. “Planejamento probabilístico como busca num espaço de transição de estados.” 2013. Masters Thesis, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04062013-060258/ ;.

MLA Handbook (7th Edition):

Casani Delgado, Daniel Javier. “Planejamento probabilístico como busca num espaço de transição de estados.” 2013. Web. 14 Aug 2020.

Vancouver:

Casani Delgado DJ. Planejamento probabilístico como busca num espaço de transição de estados. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04062013-060258/ ;.

Council of Science Editors:

Casani Delgado DJ. Planejamento probabilístico como busca num espaço de transição de estados. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04062013-060258/ ;


University of British Columbia

22. Baumann, Matthew Alexander. Path planning for improved target visibility : maintaining line of sight in a cluttered environment .

Degree: 2009, University of British Columbia

 The visibility-aware path planner addresses the problem of path planning for target visibility. It computes sequences of motions that afford a line of sight to… (more)

Subjects/Keywords: Path planning; Observation planning; Sensor planning; Line of sight; Probabilistic roadmap; Target visibility

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APA (6th Edition):

Baumann, M. A. (2009). Path planning for improved target visibility : maintaining line of sight in a cluttered environment . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/4481

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):

Baumann, Matthew Alexander. “Path planning for improved target visibility : maintaining line of sight in a cluttered environment .” 2009. Thesis, University of British Columbia. Accessed August 14, 2020. http://hdl.handle.net/2429/4481.

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

MLA Handbook (7th Edition):

Baumann, Matthew Alexander. “Path planning for improved target visibility : maintaining line of sight in a cluttered environment .” 2009. Web. 14 Aug 2020.

Vancouver:

Baumann MA. Path planning for improved target visibility : maintaining line of sight in a cluttered environment . [Internet] [Thesis]. University of British Columbia; 2009. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2429/4481.

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

Council of Science Editors:

Baumann MA. Path planning for improved target visibility : maintaining line of sight in a cluttered environment . [Thesis]. University of British Columbia; 2009. Available from: http://hdl.handle.net/2429/4481

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


Carnegie Mellon University

23. Schell, Kristen R. Computational Models for Renewable Energy Target Achievement & Policy Analysis.

Degree: 2016, Carnegie Mellon University

 To date, over 84% of countries worldwide have renewable energy targets (RET), requiring that a certain amount of electricity be produced from renewable sources by… (more)

Subjects/Keywords: Renewable Energy Target (RET); generation expansion planning; probabilistic cost estimation; subsea power cables; complementarity modeling; equilibrium problem

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APA (6th Edition):

Schell, K. R. (2016). Computational Models for Renewable Energy Target Achievement & Policy Analysis. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/735

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):

Schell, Kristen R. “Computational Models for Renewable Energy Target Achievement & Policy Analysis.” 2016. Thesis, Carnegie Mellon University. Accessed August 14, 2020. http://repository.cmu.edu/dissertations/735.

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

MLA Handbook (7th Edition):

Schell, Kristen R. “Computational Models for Renewable Energy Target Achievement & Policy Analysis.” 2016. Web. 14 Aug 2020.

Vancouver:

Schell KR. Computational Models for Renewable Energy Target Achievement & Policy Analysis. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2020 Aug 14]. Available from: http://repository.cmu.edu/dissertations/735.

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

Council of Science Editors:

Schell KR. Computational Models for Renewable Energy Target Achievement & Policy Analysis. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/735

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

24. Trevizan, Felipe Werndl. Um modelo unificado para planejamento sob incerteza.

Degree: Mestrado, Ciência da Computação, 2006, University of São Paulo

Dois modelos principais de planejamento em inteligência artificial são os usados, respectivamente, em planejamento probabilístico (MDPs e suas generalizações) e em planejamento não-determinístico (baseado em… (more)

Subjects/Keywords: MDP; MDP; MDPST; MDPST; Planejamento Probabilístico; Probabilistic Planning

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

APA (6th Edition):

Trevizan, F. W. (2006). Um modelo unificado para planejamento sob incerteza. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-15022010-161012/ ;

Chicago Manual of Style (16th Edition):

Trevizan, Felipe Werndl. “Um modelo unificado para planejamento sob incerteza.” 2006. Masters Thesis, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-15022010-161012/ ;.

MLA Handbook (7th Edition):

Trevizan, Felipe Werndl. “Um modelo unificado para planejamento sob incerteza.” 2006. Web. 14 Aug 2020.

Vancouver:

Trevizan FW. Um modelo unificado para planejamento sob incerteza. [Internet] [Masters thesis]. University of São Paulo; 2006. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-15022010-161012/ ;.

Council of Science Editors:

Trevizan FW. Um modelo unificado para planejamento sob incerteza. [Masters Thesis]. University of São Paulo; 2006. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-15022010-161012/ ;

25. Fracasso, Paulo Thiago. Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas.

Degree: Mestrado, Sistemas Digitais, 2008, University of São Paulo

O planejamento probabilístico de mapa de rotas tem se mostrado uma poderosa ferramenta para o planejamento de caminhos para robôs móveis, devido a sua eficiência… (more)

Subjects/Keywords: Algoritmos de amostragem; Algoritmos de seleção de vértices; Análise de algoritmos; Path planning; Planejamento de caminhos; Probabilistic roadmap; Robôs móveis; Robotics

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APA (6th Edition):

Fracasso, P. T. (2008). Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3141/tde-30052008-132218/ ;

Chicago Manual of Style (16th Edition):

Fracasso, Paulo Thiago. “Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas.” 2008. Masters Thesis, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-30052008-132218/ ;.

MLA Handbook (7th Edition):

Fracasso, Paulo Thiago. “Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas.” 2008. Web. 14 Aug 2020.

Vancouver:

Fracasso PT. Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-30052008-132218/ ;.

Council of Science Editors:

Fracasso PT. Análise de técnicas para amostragem e seleção de vértices no planejamento probabilístico de mapa de rotas. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-30052008-132218/ ;

26. Santos, Felipe Martins dos. Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas.

Degree: Mestrado, Ciência da Computação, 2013, University of São Paulo

Planejamento em inteligência artificial é a tarefa de determinar ações que satisfaçam um dado objetivo. Nos problemas de planejamento sob incerteza, as ações podem ter… (more)

Subjects/Keywords: Análise de Alcançabilidade; Bissimulação Estocástica; Markov Decision Processes; Planejamento Probabilístico; Probabilistic Planning; Processo de Decisão Markoviano; Reachability Analysis; Stochastic Bisimulation

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APA (6th Edition):

Santos, F. M. d. (2013). Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12022014-140538/ ;

Chicago Manual of Style (16th Edition):

Santos, Felipe Martins dos. “Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas.” 2013. Masters Thesis, University of São Paulo. Accessed August 14, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12022014-140538/ ;.

MLA Handbook (7th Edition):

Santos, Felipe Martins dos. “Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas.” 2013. Web. 14 Aug 2020.

Vancouver:

Santos FMd. Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Aug 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12022014-140538/ ;.

Council of Science Editors:

Santos FMd. Soluções eficientes para processos de decisão markovianos baseadas em alcançabilidade e bissimulações estocásticas. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12022014-140538/ ;


Virginia Commonwealth University

27. Xu, Huijun. A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer.

Degree: PhD, Medical Physics, 2013, Virginia Commonwealth University

 A fundamental challenge in the treatment planning process of multi-fractional external-beam radiation therapy (EBRT) is the tradeoff between tumor control and normal tissue sparing in… (more)

Subjects/Keywords: probabilistic treatment planning; dose coverage estimation; margin; geometric uncertainties; prostate cancer; Health and Medical Physics; Medicine and Health Sciences; Public Health

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

APA (6th Edition):

Xu, H. (2013). A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/A8CE-RW80 ; https://scholarscompass.vcu.edu/etd/3061

Chicago Manual of Style (16th Edition):

Xu, Huijun. “A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer.” 2013. Doctoral Dissertation, Virginia Commonwealth University. Accessed August 14, 2020. https://doi.org/10.25772/A8CE-RW80 ; https://scholarscompass.vcu.edu/etd/3061.

MLA Handbook (7th Edition):

Xu, Huijun. “A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer.” 2013. Web. 14 Aug 2020.

Vancouver:

Xu H. A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2013. [cited 2020 Aug 14]. Available from: https://doi.org/10.25772/A8CE-RW80 ; https://scholarscompass.vcu.edu/etd/3061.

Council of Science Editors:

Xu H. A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer. [Doctoral Dissertation]. Virginia Commonwealth University; 2013. Available from: https://doi.org/10.25772/A8CE-RW80 ; https://scholarscompass.vcu.edu/etd/3061


Brno University of Technology

28. Rusnák, Jakub. Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation.

Degree: 2018, Brno University of Technology

Thesis describes library for algorithm vizualization. It helps to create user interface for application with algorithms. It’s usage is demonstrated on some pathfinding algorithms.These applications are presented on web page. Advisors/Committee Members: Rozman, Jaroslav (advisor), Samek, Jan (referee).

Subjects/Keywords: java; plánování cesty; road mapa; pravdepodobnostní algoritmy; grafové algoritmy; vizualizace; java; path planning; roadmap; probabilistic algorithms; graph algorithms; vizualization

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

APA (6th Edition):

Rusnák, J. (2018). Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69513

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):

Rusnák, Jakub. “Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/69513.

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

MLA Handbook (7th Edition):

Rusnák, Jakub. “Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation.” 2018. Web. 14 Aug 2020.

Vancouver:

Rusnák J. Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/69513.

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

Council of Science Editors:

Rusnák J. Vizualizace algoritmů pro plánování cesty: Path Planning Algorithms Visualisation. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/69513

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


Brno University of Technology

29. Sasýn, Radek. Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space.

Degree: 2019, Brno University of Technology

 This work describes path finding among obstacles in 3D space using probabilistic algorithms. Users can create scene in application GUI - define start object, obstacles,… (more)

Subjects/Keywords: pravděpodobnostní algoritmy; plánování pohybu; detekce kolizí; 3D prostor; OpenGL; C++; probabilistic algorithm; path planning; collision detection; 3D space; OpenGL; C++

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

APA (6th Edition):

Sasýn, R. (2019). Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53437

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):

Sasýn, Radek. “Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space.” 2019. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/53437.

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

MLA Handbook (7th Edition):

Sasýn, Radek. “Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space.” 2019. Web. 14 Aug 2020.

Vancouver:

Sasýn R. Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/53437.

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

Council of Science Editors:

Sasýn R. Plánování pohybu objektu v 3D prostoru: Path Planning in 3D Space. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53437

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


University of Pennsylvania

30. Huh, Jinwook. Learning Probabilistic Generative Models For Fast Sampling-Based Planning.

Degree: 2019, University of Pennsylvania

 Due to their simplicity and efficiency in high dimensional space, sampling-based motion planners have been gaining interest for robotic manipulation in recent years. We present… (more)

Subjects/Keywords: Gaussian mixture model; Machine learning; Motion and path planning; Probabilistic generative model; Robotics; Sampling-based planning; Artificial Intelligence and Robotics; Computer Sciences; Robotics

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

APA (6th Edition):

Huh, J. (2019). Learning Probabilistic Generative Models For Fast Sampling-Based Planning. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/3480

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):

Huh, Jinwook. “Learning Probabilistic Generative Models For Fast Sampling-Based Planning.” 2019. Thesis, University of Pennsylvania. Accessed August 14, 2020. https://repository.upenn.edu/edissertations/3480.

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

MLA Handbook (7th Edition):

Huh, Jinwook. “Learning Probabilistic Generative Models For Fast Sampling-Based Planning.” 2019. Web. 14 Aug 2020.

Vancouver:

Huh J. Learning Probabilistic Generative Models For Fast Sampling-Based Planning. [Internet] [Thesis]. University of Pennsylvania; 2019. [cited 2020 Aug 14]. Available from: https://repository.upenn.edu/edissertations/3480.

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

Council of Science Editors:

Huh J. Learning Probabilistic Generative Models For Fast Sampling-Based Planning. [Thesis]. University of Pennsylvania; 2019. Available from: https://repository.upenn.edu/edissertations/3480

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

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