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You searched for subject:( Alpha shapes). Showing records 1 – 4 of 4 total matches.

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University of Cincinnati

1. Niranjan, Adityanarayan C. Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial.

Degree: MS, Engineering and Applied Science: Mechanical Engineering, 2015, University of Cincinnati

 Finite element (FE) models are created to correctly predict the dynamic characteristics of any system without the need to test the system. This is a… (more)

Subjects/Keywords: Mechanics; Normalization; Truncation of the alpha-polynomial; Complex mode shapes; Damping distribution

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APA (6th Edition):

Niranjan, A. C. (2015). Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037029

Chicago Manual of Style (16th Edition):

Niranjan, Adityanarayan C. “Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial.” 2015. Masters Thesis, University of Cincinnati. Accessed July 14, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037029.

MLA Handbook (7th Edition):

Niranjan, Adityanarayan C. “Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial.” 2015. Web. 14 Jul 2020.

Vancouver:

Niranjan AC. Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2020 Jul 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037029.

Council of Science Editors:

Niranjan AC. Normalization of Complex Mode Shapes by Truncation of the Alpha-Polynomial. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037029

2. Voland, Mathieu. Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules.

Degree: Docteur es, Informatique, 2017, Université Paris-Saclay (ComUE)

 Un médicament, ou tout autre petite molécule biologique, agit sur l’organisme via des interactions chimiques qui se produisent avec d’autres macromolécules telles que les protéines… (more)

Subjects/Keywords: Formes alpha; Surface des macromolécules; Algorithmes géométriques; Similarité des macromolécules; Prédiction d'interactions; Biologie structurale; Alpha shapes; Macromolecular surface; Geometric algorithm; Macromolecular similarity; Interaction prediction; Structural biology; 005.1

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APA (6th Edition):

Voland, M. (2017). Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2017SACLV014

Chicago Manual of Style (16th Edition):

Voland, Mathieu. “Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules.” 2017. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed July 14, 2020. http://www.theses.fr/2017SACLV014.

MLA Handbook (7th Edition):

Voland, Mathieu. “Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules.” 2017. Web. 14 Jul 2020.

Vancouver:

Voland M. Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2017. [cited 2020 Jul 14]. Available from: http://www.theses.fr/2017SACLV014.

Council of Science Editors:

Voland M. Algorithmes pour la prédiction in silico d'interactions par similarité entre macromolécules biologiques : Similarity-based algorithms for the prediction of interactions between biomolecules. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2017. Available from: http://www.theses.fr/2017SACLV014

3. Curado, Manuel. Structural Similarity: Applications to Object Recognition and Clustering .

Degree: 2018, University of Alicante

 In this thesis, we propose many developments in the context of Structural Similarity. We address both node (local) similarity and graph (global) similarity. Concerning node… (more)

Subjects/Keywords: Graph densification; Cut similarity; Spectral clustering; Dirichlet problems; Random walkers; Commute Times; Graph algorithms; Regular Partition; Szemeredi; Alzheimer's disease; Graphs; Return Random Walk; Net4lap; Directed graphs; Spectral graph theory; Graph entropy; Mutual information; Manifold alignment; m-Best Graph Matching; Binary-Tree Partitions; QAP; Graph sparsification; Shape simplification; Alpha shapes

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

APA (6th Edition):

Curado, M. (2018). Structural Similarity: Applications to Object Recognition and Clustering . (Thesis). University of Alicante. Retrieved from http://hdl.handle.net/10045/98110

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):

Curado, Manuel. “Structural Similarity: Applications to Object Recognition and Clustering .” 2018. Thesis, University of Alicante. Accessed July 14, 2020. http://hdl.handle.net/10045/98110.

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

MLA Handbook (7th Edition):

Curado, Manuel. “Structural Similarity: Applications to Object Recognition and Clustering .” 2018. Web. 14 Jul 2020.

Vancouver:

Curado M. Structural Similarity: Applications to Object Recognition and Clustering . [Internet] [Thesis]. University of Alicante; 2018. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10045/98110.

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

Council of Science Editors:

Curado M. Structural Similarity: Applications to Object Recognition and Clustering . [Thesis]. University of Alicante; 2018. Available from: http://hdl.handle.net/10045/98110

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


Marshall University

4. Johnson, Christopher Aaron. Applications of Computational Homology.

Degree: 2006, Marshall University

 Homology is a field of topology that classifies objects based on the number of n- dimensional holes (cuts, tunnels, voids, etc.) they possess. The number… (more)

Subjects/Keywords: Topology; Homology; Triangulation; Alpha Shapes; <; p>; Homology theory.<; /p>; <; p>; Topology.<; /p>; <; p>; Triangulation.<; /p>;

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

APA (6th Edition):

Johnson, C. A. (2006). Applications of Computational Homology. (Thesis). Marshall University. Retrieved from http://mds.marshall.edu/etd/672

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):

Johnson, Christopher Aaron. “Applications of Computational Homology.” 2006. Thesis, Marshall University. Accessed July 14, 2020. http://mds.marshall.edu/etd/672.

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

MLA Handbook (7th Edition):

Johnson, Christopher Aaron. “Applications of Computational Homology.” 2006. Web. 14 Jul 2020.

Vancouver:

Johnson CA. Applications of Computational Homology. [Internet] [Thesis]. Marshall University; 2006. [cited 2020 Jul 14]. Available from: http://mds.marshall.edu/etd/672.

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

Council of Science Editors:

Johnson CA. Applications of Computational Homology. [Thesis]. Marshall University; 2006. Available from: http://mds.marshall.edu/etd/672

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

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