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You searched for +publisher:"National Library of Canada" +contributor:("Wu, Dan"). Showing records 1 – 4 of 4 total matches.

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1. Dezfoulian, Seyyed Hamid. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.

Degree: MA, Computer Science, 2012, National Library of Canada

 In this thesis, we tackle the problem of extending neural network navigation algorithms for various types of mobile robots and 2-dimensional range sensors. We propose… (more)

Subjects/Keywords: Artificial intelligence.

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APA (6th Edition):

Dezfoulian, S. H. (2012). A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. (Masters Thesis). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/102

Chicago Manual of Style (16th Edition):

Dezfoulian, Seyyed Hamid. “A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.” 2012. Masters Thesis, National Library of Canada. Accessed December 01, 2020. http://scholar.uwindsor.ca/etd/102.

MLA Handbook (7th Edition):

Dezfoulian, Seyyed Hamid. “A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance.” 2012. Web. 01 Dec 2020.

Vancouver:

Dezfoulian SH. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. [Internet] [Masters thesis]. National Library of Canada; 2012. [cited 2020 Dec 01]. Available from: http://scholar.uwindsor.ca/etd/102.

Council of Science Editors:

Dezfoulian SH. A Generalized Neural Network Approach to Mobile Robot Navigation and Obstacle Avoidance. [Masters Thesis]. National Library of Canada; 2012. Available from: http://scholar.uwindsor.ca/etd/102

2. Chen, Jingxi. Bring Consciousness to Mobile Robot Being Localized.

Degree: MS, Computer Science, 2009, National Library of Canada

 Mobile robot localization is one of the most important problems in robotics research. A number of successful localization solutions have been proposed, among them, the… (more)

Subjects/Keywords: Artificial Intelligence.

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APA (6th Edition):

Chen, J. (2009). Bring Consciousness to Mobile Robot Being Localized. (Masters Thesis). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/318

Chicago Manual of Style (16th Edition):

Chen, Jingxi. “Bring Consciousness to Mobile Robot Being Localized.” 2009. Masters Thesis, National Library of Canada. Accessed December 01, 2020. http://scholar.uwindsor.ca/etd/318.

MLA Handbook (7th Edition):

Chen, Jingxi. “Bring Consciousness to Mobile Robot Being Localized.” 2009. Web. 01 Dec 2020.

Vancouver:

Chen J. Bring Consciousness to Mobile Robot Being Localized. [Internet] [Masters thesis]. National Library of Canada; 2009. [cited 2020 Dec 01]. Available from: http://scholar.uwindsor.ca/etd/318.

Council of Science Editors:

Chen J. Bring Consciousness to Mobile Robot Being Localized. [Masters Thesis]. National Library of Canada; 2009. Available from: http://scholar.uwindsor.ca/etd/318

3. Jin, Hongxuan. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.

Degree: PhD, Computer Science, 2010, National Library of Canada

 Probabilistic reasoning methods, Bayesian networks (BNs) in particular, have emerged as an effective and central tool for reasoning under uncertainty. In a multi-agent environment, agents… (more)

Subjects/Keywords: Artificial Intelligence.

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

APA (6th Edition):

Jin, H. (2010). Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. (Doctoral Dissertation). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/414

Chicago Manual of Style (16th Edition):

Jin, Hongxuan. “Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.” 2010. Doctoral Dissertation, National Library of Canada. Accessed December 01, 2020. http://scholar.uwindsor.ca/etd/414.

MLA Handbook (7th Edition):

Jin, Hongxuan. “Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems.” 2010. Web. 01 Dec 2020.

Vancouver:

Jin H. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. [Internet] [Doctoral dissertation]. National Library of Canada; 2010. [cited 2020 Dec 01]. Available from: http://scholar.uwindsor.ca/etd/414.

Council of Science Editors:

Jin H. Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems. [Doctoral Dissertation]. National Library of Canada; 2010. Available from: http://scholar.uwindsor.ca/etd/414

4. Luo, Guanghui. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.

Degree: MS, Computer Science, 2011, National Library of Canada

 This thesis describes an approach for cooperative multi-robot localization based on probabilistic method (Monte Carlo Localization) used in assistant robots which are capable of sensing… (more)

Subjects/Keywords: Computer Science.

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

APA (6th Edition):

Luo, G. (2011). An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. (Masters Thesis). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/329

Chicago Manual of Style (16th Edition):

Luo, Guanghui. “An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.” 2011. Masters Thesis, National Library of Canada. Accessed December 01, 2020. http://scholar.uwindsor.ca/etd/329.

MLA Handbook (7th Edition):

Luo, Guanghui. “An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization.” 2011. Web. 01 Dec 2020.

Vancouver:

Luo G. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. [Internet] [Masters thesis]. National Library of Canada; 2011. [cited 2020 Dec 01]. Available from: http://scholar.uwindsor.ca/etd/329.

Council of Science Editors:

Luo G. An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization. [Masters Thesis]. National Library of Canada; 2011. Available from: http://scholar.uwindsor.ca/etd/329

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