Academic literature on the topic '3D computational modeling'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic '3D computational modeling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "3D computational modeling"
Paulsen, Jonas, Tharvesh Moideen Liyakat Ali, and Philippe Collas. "Computational 3D genome modeling using Chrom3D." Nature Protocols 13, no. 5 (April 26, 2018): 1137–52. http://dx.doi.org/10.1038/nprot.2018.009.
Full textLaing, Christian, and Tamar Schlick. "Computational approaches to 3D modeling of RNA." Journal of Physics: Condensed Matter 22, no. 28 (June 15, 2010): 283101. http://dx.doi.org/10.1088/0953-8984/22/28/283101.
Full textKhoei, A. R., A. R. Azami, and S. Azizi. "Computational modeling of 3D powder compaction processes." Journal of Materials Processing Technology 185, no. 1-3 (April 2007): 166–72. http://dx.doi.org/10.1016/j.jmatprotec.2006.03.122.
Full textDawson, Wayne K., and Janusz M. Bujnicki. "Computational modeling of RNA 3D structures and interactions." Current Opinion in Structural Biology 37 (April 2016): 22–28. http://dx.doi.org/10.1016/j.sbi.2015.11.007.
Full textDłotko, Paweł, and Ruben Specogna. "Cohomology in 3D Magneto-Quasistatics Modeling." Communications in Computational Physics 14, no. 1 (July 2013): 48–76. http://dx.doi.org/10.4208/cicp.151111.180712a.
Full textSher, E. N. "3D computational model of wedge penetrator-rock mass interaction dynamics." Interexpo GEO-Siberia 2, no. 4 (May 18, 2022): 29–37. http://dx.doi.org/10.33764/2618-981x-2022-2-4-29-37.
Full textBickel, Bernd, and Marc Alexa. "Computational Aspects of Fabrication: Modeling, Design, and 3D Printing." IEEE Computer Graphics and Applications 33, no. 6 (November 2013): 24–25. http://dx.doi.org/10.1109/mcg.2013.89.
Full textCui, Meng-Yao, Shao-Ping Lu, Miao Wang, Yong-Liang Yang, Yu-Kun Lai, and Paul L. Rosin. "3D computational modeling and perceptual analysis of kinetic depth effects." Computational Visual Media 6, no. 3 (August 13, 2020): 265–77. http://dx.doi.org/10.1007/s41095-020-0180-x.
Full textPlessix, R. E., M. Darnet, and W. A. Mulder. "An approach for 3D multisource, multifrequency CSEM modeling." GEOPHYSICS 72, no. 5 (September 2007): SM177—SM184. http://dx.doi.org/10.1190/1.2744234.
Full textChanel, Paul G., and John C. Doering. "Assessment of spillway modeling using computational fluid dynamics." Canadian Journal of Civil Engineering 35, no. 12 (December 2008): 1481–85. http://dx.doi.org/10.1139/l08-094.
Full textDissertations / Theses on the topic "3D computational modeling"
Belyaeva, Anastasiya. "Computational methods for analyzing and modeling gene regulation and 3D genome organization." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130828.
Full textCataloged from the official PDF of thesis.
Includes bibliographical references (pages 261-281).
Biological processes from differentiation to disease progression are governed by gene regulatory mechanisms. Currently large-scale omics and imaging data sets are being collected to characterize gene regulation at every level. Such data sets present new opportunities and challenges for extracting biological insights and elucidating the gene regulatory logic of cells. In this thesis, I present computational methods for the analysis and integration of various data types used for cell profiling. Specifically, I focus on analyzing and linking gene expression with the 3D organization of the genome. First, I describe methodologies for elucidating gene regulatory mechanisms by considering multiple data modalities. I design a computational framework for identifying colocalized and coregulated chromosome regions by integrating gene expression and epigenetic marks with 3D interactions using network analysis.
Then, I provide a general framework for data integration using autoencoders and apply it for the integration and translation between gene expression and chromatin images of naive T-cells. Second, I describe methods for analyzing single modalities such as contact frequency data, which measures the spatial organization of the genome, and gene expression data. Given the important role of the 3D genome organization in gene regulation, I present a methodology for reconstructing the 3D diploid conformation of the genome from contact frequency data. Given the ubiquity of gene expression data and the recent advances in single-cell RNA-sequencing technologies as well as the need for causal modeling of gene regulatory mechanisms, I then describe an algorithm as well as a software tool, difference causal inference (DCI), for learning causal gene regulatory networks from gene expression data.
DCI addresses the problem of directly learning differences between causal gene regulatory networks given gene expression data from two related conditions. Finally, I shift my focus from basic biology to drug discovery. Given the current COVID19 pandemic, I present a computational drug repurposing platform that enables the identification of FDA approved compounds for drug repurposing and investigation of potential causal drug mechanisms. This framework relies on identifying drugs that reverse the signature of the infection in the space learned by an autoencoder and then uses causal inference to identify putative drug mechanisms.
by Anastasiya Belyaeva.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Computational and Systems Biology Program
Wang, Junle. "From 2D to stereoscopic-3D visual saliency : revisiting psychophysical methods and computational modeling." Nantes, 2012. http://www.theses.fr/2012NANT2072.
Full textVisual attention is one of the most important mechanisms deployed in the human visual system to reduce the amount of information that our brain needs to process. An increasing amount of efforts are being dedicated in the studies of visual attention, particularly in computational modeling of visual attention. In this thesis, we present studies focusing on several aspects of the research of visual attention. Our works can be mainly classified into two parts. The first part concerns ground truths used in the studies related to visual attention ; the second part contains studies related to the modeling of visual attention for Stereoscopic 3D (S-3D) viewing condition. In the first part, our work starts with identifying the reliability of FDM from different eye-tracking databases. Then we quantitatively identify the similarities and difference between fixation density maps and visual importance map, which have been two widely used ground truth for attention-related applications. Next, to solve the problem of lacking ground truth in the community of 3D visual attention modeling, we conduct a binocular eye-tracking experiment to create a new eye-tracking database for S-3D images. In the second part, we start with examining the impact of depth on visual attention in S-3D viewing condition. We firstly introduce a so-called “depth-bias” in the viewing of synthetic S-3D content on planar stereoscopic display. Then, we extend our study from synthetic stimuli to natural content S-3D images. We propose a depth-saliency-based model of 3D visual attention, which relies on depth contrast of the scene. Two different ways of applying depth information in S-3D visual attention model are also compared in our study. Next, we study the difference of center-bias between 2D and S-3D viewing conditions, and further integrate the center-bias with S-3D visual attention modeling. At the end, based on the assumption that visual attention can be used for improving Quality of Experience of 3D-TV when collaborating with blur, we study the influence of blur on depth perception and blur’s relationship with binocular disparity
Vaterlaus, Austin C. "Development of a 3D Computational Vocal Fold Model Optimization Tool." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8468.
Full textFadeel, Abdalsalam. "Development and Application of a Computational Modeling Scheme for Periodic Lattice Structures." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright162248153014535.
Full textCollar, Catharine Jane. "Rational Drug Design for Neglected Diseases: Implementation of Computational Methods to Construct Predictive Devices and Examine Mechanisms." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/chemistry_diss/48.
Full textWhite, Douglas. "Analyzing multicellular interactions: A hybrid computational and biological pattern recognition approach." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54876.
Full textBorrman, Tyler M. "Measuring Stability of 3D Chromatin Conformations and Identifying Neuron Specific Chromatin Loops Associated with Schizophrenia Risk." eScholarship@UMMS, 2020. https://escholarship.umassmed.edu/gsbs_diss/1111.
Full textLanterne, Célestin. "Réparation et optimisation de maillages 3D pour l'impression 3D." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0454.
Full text3D printers use 3D models in the form of meshes to define the geometry and the appearance of objects to be printed. A 3D mesh must have some topological properties so that the geometry it represents could be printable and the geometry itself must respect certain conditions to be printable. These properties and conditions may vary depending on the 3D printing technologies in use.Many 3D meshes used for printing were not initially designed for this purpose application. The main primary use of these meshes is visualization, which does not require the same topological properties and geometric conditions. The subject of this thesis is the repair of these meshes to make them printable.A repair chain including several steps was designed for this purpose. Non-manifold conditions are repaired by extracting related components (surfaces). The boundaries of surfaces are detected and classified according to the best repair to be applied on each. The boundaries of surfaces are repaired according to their classification either by a filling method or by an offset method. The weakness of the geometry is detected and controlled
Michálek, Mojmír Cyril. "Výpočtové modelování procesu 3D tisku součástí z PET-G materiálu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-418192.
Full textHartl, Alexander Verfasser], Nassir [Akademischer Betreuer] [Navab, and Sibylle [Akademischer Betreuer] Ziegler. "Computational modeling of detection physics for 3D intraoperative imaging with navigated nuclear probes / Alexander Hartl. Betreuer: Nassir Navab. Gutachter: Nassir Navab ; Sibylle Ziegler." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1079655190/34.
Full textBooks on the topic "3D computational modeling"
Zohdi, Tarek I. I. Modeling and Simulation of Functionalized Materials for Additive Manufacturing and 3D Printing : Continuous and Discrete Media: Continuum and Discrete ... Notes in Applied and Computational Mechanics). Springer, 2018.
Find full textBook chapters on the topic "3D computational modeling"
Moon, Jungkyu, and Deawoo Park. "3D Printing Signboard Production Using 3D Modeling Design." In Studies in Computational Intelligence, 109–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64769-8_9.
Full textJulien, Leroy, and Nicolas Riche. "Toward 3D Visual Saliency Modeling." In From Human Attention to Computational Attention, 305–30. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3435-5_17.
Full textCentofanti, Mario, Stefano Brusaporci, and Vittorio Lucchese. "Architectural Heritage and 3D Models." In Computational Modeling of Objects Presented in Images, 31–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04039-4_2.
Full textVlachakis, Dimitrios. "Antibody Clustering and 3D Modeling for Neurodegenerative Diseases." In Handbook of Computational Neurodegeneration, 1–13. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-75479-6_53-1.
Full textEmpler, Tommaso. "3D Modeling of an Archeological Area: The Imperial Fora in Rome." In Computational Morphologies, 185–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60919-5_14.
Full textGellibert, Adrien, Jérémy Savatier, Nicolas Pépin, and Olivier Fully. "3D Computational Modeling of the Galaube Dam Spillway." In Advances in Hydroinformatics, 361–76. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-615-7_25.
Full textWawrzynek, P. A., B. J. Carter, A. R. Ingraffea, and D. O. Potyondy. "A Topological Approach to Modeling Arbitrary Crack Propagation in 3D." In DIANA Computational Mechanics ‘84, 69–84. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1046-4_7.
Full textMin, Kyongpil, and Junchul Chun. "Image-Based 3D Face Modeling from Stereo Images." In Computational Science and Its Applications - ICCSA 2006, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751540_44.
Full textNémeth, Gábor, Péter Kardos, and Kálmán Palágyi. "Topology Preserving Parallel Smoothing for 3D Binary Images." In Computational Modeling of Objects Represented in Images, 287–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12712-0_26.
Full textGrosman, Leore, Gonen Sharon, Talia Goldman-Neuman, Oded Smikt, and Uzy Smilansky. "3D Modeling: New Method for Quantifying Post-depositional Damages." In Contributions in Mathematical and Computational Sciences, 11–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28021-4_2.
Full textConference papers on the topic "3D computational modeling"
Freitag, Christoph, Peter Kühmstedt, Gunther Notni, and Herbert Gross. "Simulation of computational ghost imaging: application for 3D measurement." In Modeling Aspects in Optical Metrology VII, edited by Bernd Bodermann, Karsten Frenner, and Richard M. Silver. SPIE, 2019. http://dx.doi.org/10.1117/12.2526380.
Full textObbink-Huizer, Christine, Cees W. J. Oomens, Sandra Loerakker, Jasper Foolen, Carlijn V. C. Bouten, and Frank P. T. Baaijens. "Computational Modeling of Cell Orientation in 3D Micro-Constructs." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14252.
Full textSchmidt, Henrik, and Finn B. Jensen. "Computational ocean acoustics: Advances in 3D ocean acoustic modeling." In ADVANCES IN OCEAN ACOUSTICS: Proceedings of the 3rd International Conference on Ocean Acoustics (OA2012). AIP, 2012. http://dx.doi.org/10.1063/1.4765904.
Full textLiu, Xiaofeng, Matthew Farthing, and Mahdad Talepour. "Jet erosion test apparatus: A 3D computational modeling appraisal." In The International Conference On Fluvial Hydraulics (River Flow 2016). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315644479-215.
Full textWu, Tien-Shuenn, Hua Shan, Gour-Tsyh Yeh, and Gordon Hu. "Computational Modeling of Moving Boundaries in a 3D Surface Water Model." In 10th International Conference on Estuarine and Coastal Modeling. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40990(324)15.
Full textFatemeh, Sharifi, Bahar Firoozabadi, and Keikhosrow Firoozbakhsh. "Computational Modeling of 3D Printed Hepatic Spheroids Inside a Bioreactor." In 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2018. http://dx.doi.org/10.1109/icbme.2018.8703541.
Full textZepeda-Galvez, Juan Adrian, Arturo Ayon, and Clarissa Vazquez Colon. "Computational Modeling of 3D Metamaterial Wire Arrays for Terahertz Operation." In 2019 Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS (DTIP). IEEE, 2019. http://dx.doi.org/10.1109/dtip.2019.8752808.
Full textPanoiu, Nicolae C., and Martin Weismann. "Computational modeling of nonlinear optical response of 2D-3D heteromaterials." In 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2016. http://dx.doi.org/10.1109/iceaa.2016.7731473.
Full textLi, Jia, Yue Zhang, Pin Xu, Shanzhen Lan, and Shaobin Li. "3D Personalized Face Modeling Based on KINECT2." In 2016 9th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2016. http://dx.doi.org/10.1109/iscid.2016.1052.
Full textSimas, Gisele M., Guilherme P. Fickel, Lucas Novelo, Silvia S. C. Botelho, and Rodrigo A. de Bem. "Using Computer Vision for 3D Probabilistic Reconstruction and Motion Tracking." In 2009 Third Southern Conference on Computational Modeling (MCSUL). IEEE, 2009. http://dx.doi.org/10.1109/mcsul.2009.18.
Full textReports on the topic "3D computational modeling"
de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
Full textSIMPLIFIED MODELLING OF NOVEL NON-WELDED JOINTS FOR MODULAR STEEL BUILDINGS. The Hong Kong Institute of Steel Construction, December 2021. http://dx.doi.org/10.18057/ijasc.2021.17.4.10.
Full text