Добірка наукової літератури з теми "2D morphology"
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Статті в журналах з теми "2D morphology"
Banda, Mohd Sarfaraz, Stephan Niewerth, and Jochen Aberle. "2D numerical simulation of meander morphology." E3S Web of Conferences 40 (2018): 05062. http://dx.doi.org/10.1051/e3sconf/20184005062.
Повний текст джерелаLi, Yue, Weiping Cai, Bingqiang Cao, Guotao Duan, Cuncheng Li, Fengqiang Sun, and Haibo Zeng. "Morphology-controlled 2D ordered arrays by heating-induced deformation of 2D colloidal monolayer." J. Mater. Chem. 16, no. 6 (2006): 609–12. http://dx.doi.org/10.1039/b513050f.
Повний текст джерелаCohen-Pope, Sullivan, John R. Crockett, Maggie Wang, Kaitlyn Flynn, Alexandra Hoff, and Ying Bao. "Morphology control of SERS-active 2D gold nanosnowflakes." Journal of Materials Chemistry C 8, no. 36 (2020): 12427–36. http://dx.doi.org/10.1039/d0tc02183k.
Повний текст джерелаMukhopadhyay, Susanta, and Bhabatosh Chanda. "Fusion of 2D grayscale images using multiscale morphology." Pattern Recognition 34, no. 10 (October 2001): 1939–49. http://dx.doi.org/10.1016/s0031-3203(00)00123-0.
Повний текст джерелаTien, Li-Chia, and Yu-Che Shih. "Morphology-Controlled Vapor Phase Growth and Characterization of One-Dimensional GaTe Nanowires and Two-Dimensional Nanosheets for Potential Visible-Light Active Photocatalysts." Nanomaterials 11, no. 3 (March 18, 2021): 778. http://dx.doi.org/10.3390/nano11030778.
Повний текст джерелаVerma, Akarsh, Avinash Parashar, and M. Packirisamy. "Tailoring the failure morphology of 2D bicrystalline graphene oxide." Journal of Applied Physics 124, no. 1 (July 7, 2018): 015102. http://dx.doi.org/10.1063/1.5033542.
Повний текст джерелаRobinson, Joshua A., Sarah Eichfeld, Yu-Chuan Lin, Ning Lu, and Moon Kim. "Growth Morphology and Defects in 2D Heterostructures and Interfaces." Microscopy and Microanalysis 21, S3 (August 2015): 101–2. http://dx.doi.org/10.1017/s1431927615001300.
Повний текст джерелаSu, Yingjie, Jianqiang Xue, Anmin Liu, Tingli Ma, and Liguo Gao. "Unveiling the Effect of Solvents on Crystallization and Morphology of 2D Perovskite in Solvent-Assisted Method." Molecules 27, no. 6 (March 11, 2022): 1828. http://dx.doi.org/10.3390/molecules27061828.
Повний текст джерелаXu, Xiufeng, Rui Dang, and Mengmeng Xie. "Research on preparation of 2D Cu nanomaterials." Journal of Physics: Conference Series 2321, no. 1 (August 1, 2022): 012009. http://dx.doi.org/10.1088/1742-6596/2321/1/012009.
Повний текст джерелаHoai, Nguyen Thi Thu, and Ta Thi Dinh. "Two and three-dimensional transesophageal echocardiography for pre-operative assessment of mitral valve morphology and regurgitation severity." Tạp chí Phẫu thuật Tim mạch và Lồng ngực Việt Nam 40 (January 18, 2023): 92–101. http://dx.doi.org/10.47972/vjcts.v40i.837.
Повний текст джерелаДисертації з теми "2D morphology"
Hayes, Susan. "Seeing and measuring the 2D face." University of Western Australia. School of Anatomy and Human Biology, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0067.
Повний текст джерелаKozarek, Jessica Lindberg. "Channel Morphology and Riparian Vegetation Influences on Fluvial Aquatic Habitat." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77172.
Повний текст джерелаPh. D.
Devotta, Ashwin Moris. "Characterization & modeling of chip flow angle & morphology in 2D & 3D turning process." Licentiate thesis, Högskolan Väst, Forskningsmiljön produktionsteknik(PTW), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-8671.
Повний текст джерелаDing, Huaxiong. "Combining 2D facial texture and 3D face morphology for estimating people's soft biometrics and recognizing facial expressions." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC061/document.
Повний текст джерелаSince soft biometrics traits can provide sufficient evidence to precisely determine the identity of human, there has been increasing attention for face based soft biometrics identification in recent years. Among those face based soft biometrics, gender and ethnicity are both key demographic attributes of human beings and they play a very fundamental and important role in automatic machine based face analysis. Meanwhile, facial expression recognition is another challenge problem in face analysis because of the diversity and hybridity of human expressions among different subjects in different cultures, genders and contexts. This Ph.D thesis work is dedicated to combine 2D facial Texture and 3D face morphology for estimating people’s soft biometrics: gender, ethnicity, etc., and recognizing facial expression. For the gender and ethnicity recognition, we present an effective and efficient approach on this issue by combining both boosted local texture and shape features extracted from 3D face models, in contrast to the existing ones that only depend on either 2D texture or 3D shape of faces. In order to comprehensively represent the difference between different genders or ethnics groups, we propose a novel local descriptor, namely local circular patterns (LCP). LCP improves the widely utilized local binary patterns (LBP) and its variants by replacing the binary quantization with a clustering based one, resulting in higher discriminative power as well as better robustness to noise. Meanwhile, the following Adaboost based feature selection finds the most discriminative gender- and ethnic-related features and assigns them with different weights to highlight their importance in classification, which not only further raises the performance but reduces the time and memory cost as well. Experimental results achieved on the FRGC v2.0 and BU-3DFE data sets clearly demonstrate the advantages of the proposed method. For facial expression recognition, we present a fully automatic multi-modal 2D + 3D feature-based facial expression recognition approach and demonstrate its performance on the BU–3DFE database. Our approach combines multi-order gradientbased local texture and shape descriptors in order to achieve efficiency a nd robustness. First, a large set of fiducial facial landmarks of 2D face images along with their 3D face scans are localized using a novel algorithm namely incremental Parallel Cascade of Linear Regression (iPar–CLR). Then, a novel Histogram of Second Order Gradients (HSOG) based local image descriptor in conjunction with the widely used first-order gradient based SIFT descriptor are employed to describe the local texture around each 2D landmark. Similarly, the local geometry around each 3D landmark is described by two novel local shape descriptors constructed using the first-order and the second-order surface differential geometry quantities, i.e., Histogram of mesh Gradients (meshHOG) and Histogram of mesh Shape index (curvature quantization, meshHOS). Finally, the Support Vector Machine (SVM) based recognition results of all 2D and 3D descriptors are fused at both featurelevel and score-level to further improve the accuracy. Comprehensive experimental results demonstrate that there exist impressive complementary characteristics between the 2D and 3D descriptors. We use the BU–3DFE benchmark to compare our approach to the state-of-the-art ones. Our multi-modal feature-based approach outperforms the others by achieving an average recognition accuracy of 86,32%. Moreover, a good generalization ability is shown on the Bosphorus database
Wijenayaka, A. K. Lahiru Anuradha. "Improved theoretical prediction of nanoparticle stability and the synthesis, characterization, and application of gold nanopartticles of various morphology in surface-enhanced infrared spectroscopy." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1931.
Повний текст джерелаFeng, Xinliang, Xiaodong Zhuang, Wuxue Zhao, Fan Zhang, Yu Cao, Feng Liu, and Shuai Bia. "A two-dimensional conjugated polymer framework with fully sp2-bonded carbon skeleton." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-224298.
Повний текст джерелаBaubet, Bertrand. "Influence de la morphologie 2D de la phase active sur la sélectivité des catalyseurs sulfures en HDS des essences." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10067.
Повний текст джерелаThis thesis examines the influence of the morphology of particles of molybdenum sulfide on selectivity of hydrotreating catalysts. Nanoparticles of active phase present two types of edges called “M-edge” and “S-edge” which may lead to different reactivities. The change in morphology of the 2D sheets could change the proportions of M and S edges exposed and thus the catalytic properties of sulfide catalysts. For this, non-promoted (Mo) and promoted (CoMo) catalysts, supported on alumina were prepared by dry impregnation and sulfide in various conditions (gas and temperature). Catalytic tests in selective hydrodesulfurization (HDS) of FCC gasoline (selectivity HDS /HYD) were then used to assess the impact of the morphology based on geometrical models which were constructed with DFT calculations and experimental characterizations (TEM, IR (CO), TPR, XPS). The results for Mo catalysts seem to confirm the influence of the 2D morphology selectivity HDS / HYD, M-edge appearing to be the most selective for non-promoted catalysts. They also highlight the importance of the reducibility more or less pronounced of the edges on the catalytic properties, especially on the M-edge. The different conditions of sulfidation seem to affect the morphology of the particles but also the specific chemical properties at each edge. Regarding to the promoted catalysts, the different conditions of sulfidation appear to act primarily at the distribution of the promoter between the M and S edges. However, interactions with the carrier appear to constitute an obstacle to promoting effects. In this context, sulfidations at high temperature in pure H2S lead to obtain significant gains in activity and selectivity. These results appear to be due to weak interactions with the carrier and to the presence of the promoter on the S-edge which could promote the HDS reaction and limit the HYD reaction. Finally, the interpretations made in terms of 2D morphology tend to confirm that this parameter can be an interesting line of development for hydrotreating catalysts. Optimization of the sulfidation conditions could effectively allow to vary the morphology and the rate of decoration of promoted catalysts which significantly improve the activity and selectivity
Lottin, Delphine. "Dimensions fractales, morphologie et caractéristiques dimensionnelles 2D et 3D d'agrégats de nanoparticules de suie aéronautique : Etude par microscopie électronique en transmission et tomographie électronique." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4012/document.
Повний текст джерелаSoot aggregates emitted by aircraft engines' combustion processes are involved in the modification of the global radiative budget and the air quality. The knowledge of their physical and chemical characteristics is a prerequisite to any evaluation of the way they may act in the atmospheric physical and chemical processes and their impact on the environment and public health. In this context, our study aims at determining the size and morphological characteristics of aircraft soot aggregates on the basis of experimental measurements by transmission electron microscopy (TEM) and electron tomography.We have acquired TEM pictures of soot aggregates emitted by aircraft engines. We have established a method to characterize the morphology of these aggregates by determining their elongation, their compacity and the tortuosity of their edge. This method is based on the analysis of their TEM projection. Besides, we have developed a software to process and analyse TEM pictures. It allows to reconstruct aggregates from their projections and to determine their size and morphological characteristics. Our results have lead us to study the validity of the relationships linking the 2D and 3D microphysical characteristics presented in the literature and to suggest new ones for the studied aggregates.These results constitute the first 3D morphological and size characterizations of aircraft soot aggregates using TEM and electron tomography. They highlight the fact that the morphological properties of these aggregates do not fulfil the hypotheses required for the use of the collective method to determine the mass fractal dimension
Feng, Xinliang, Xiaodong Zhuang, Wuxue Zhao, Fan Zhang, Yu Cao, Feng Liu, and Shuai Bia. "A two-dimensional conjugated polymer framework with fully sp2-bonded carbon skeleton." Royal Society of Chemistry, 2016. https://tud.qucosa.de/id/qucosa%3A30310.
Повний текст джерелаBouhnaida, Zaïnaba. "Étude comparative de trois systèmes de préparation canalaire en endodontie : Étude in vitro en micro-CT." Thesis, Reims, 2018. http://www.theses.fr/2018REIMO201/document.
Повний текст джерелаThe aim of this study is to compare the respect of the root canal morphology after instrumentation with different shaping systems (One Shape NEW Generation®, Wave One® and Revo-S®), by using Micro-Computed Tomography.We used a fully three-dimensional (3D) methodological process which involved the reconstruction, registration and segmentation. By this methodological process, images have been acquired and processed in order to extract registered canals images before and after the instrumentation. The segmentation artifacts like calcifications and debris have been taken into account. A method to estimate the non-instrumented zones is also described.The canal transportation was calculated for each slice of each root-third by comparing the position of the centroids before and after instrumentation. No significant difference was found between the three instrumentation systems when canal transport means were done.This 4-part methodological approach has enabled the validation of a reproducible 3D imaging protocol. This can be applied in vitro in endodontic research for analysis of the instrumental effects
Частини книг з теми "2D morphology"
Kay, Nicholas D. "Morphology of 2D Materials and Their Heterostructures." In Springer Theses, 45–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70181-3_4.
Повний текст джерелаKatona, Melinda, and László G. Nyúl. "Efficient 1D and 2D Barcode Detection Using Mathematical Morphology." In Lecture Notes in Computer Science, 464–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38294-9_39.
Повний текст джерелаTagliati, Elena, and Lewis D. Griffin. "Features in Scale Space: Progress on the 2D 2nd Order Jet." In Scale-Space and Morphology in Computer Vision, 51–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47778-0_5.
Повний текст джерелаGómez-de-Mariscal, Estibaliz, Daniel Franco-Barranco, Arrate Muñoz-Barrutia, and Ignacio Arganda-Carreras. "Building a Bioimage Analysis Workflow Using Deep Learning." In Bioimage Data Analysis Workflows ‒ Advanced Components and Methods, 59–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7_4.
Повний текст джерелаGolabczak, Andrzej, Andrzej Konstantynowicz, and Marcin Golabczak. "Modelling of the Surface Morphology by Means of 2D Numerical Filters." In Mechanical and Materials Engineering of Modern Structure and Component Design, 135–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19443-1_10.
Повний текст джерелаPour-Moghaddam, Navid. "Prediction of 2D Macro-Scale Fragmentation of Tempered Glass." In On the Fracture Behaviour and the Fracture Pattern Morphology of Tempered Soda-Lime Glass, 121–81. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-28206-6_5.
Повний текст джерелаShaheen, Eman, Chantal Van Ongeval, Federica Zanca, Lesley Cockmartin, Nicholas Marshall, Frederik De Keyzer, Kenneth C. Young, David R. Dance, and Hilde Bosmans. "The Morphology of Microcalcifications in 2D Digital Mammography and Breast Tomosynthesis: Is It Different?" In Breast Imaging, 362–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_47.
Повний текст джерелаMilošević, Nebojša. "The Morphology of the Brain Neurons: Box-Counting Method in Quantitative Analysis of 2D Image." In Springer Series in Computational Neuroscience, 109–26. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3995-4_7.
Повний текст джерелаBehuet, Sabrina, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans, and Katrin Amunts. "A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses." In Lecture Notes in Computer Science, 3–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_1.
Повний текст джерелаLi, Xin, Huaping Wang, Qing Shi, Juan Cui, Tao Sun, Hongpeng Qin, Qiang Huang, and Toshio Fukuda. "Morphologic Reconstruction of 2D Cellular Micro-scaffold Based on Digital Holographic Feedback." In Intelligent Robotics and Applications, 196–208. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27526-6_18.
Повний текст джерелаТези доповідей конференцій з теми "2D morphology"
Zlokolica, Vladimir, Lazar Velicki, Marko Janev, David Mitrinovic, Danilo Babin, Nebojsa Ralevic, Nada Cemerlic-Adic, Ratko Obradovic, and Irena Galic. "Epicardial fat registration by local adaptive morphology-thresholding based 2D segmentation." In 2014 56th International Symposium ELMAR. IEEE, 2014. http://dx.doi.org/10.1109/elmar.2014.6923347.
Повний текст джерелаZahir Tuan Harith, Zuhar. "Imaging the Subsurface Karst Morphology Using High- resolution 2D Resistivity Imaging Technique." In First EAGE South-East Asia Regional Geology Workshop - Workshop on Palaeozoic Limestones of South-East Asia and South China. Netherlands: EAGE Publications BV, 2011. http://dx.doi.org/10.3997/2214-4609.20144032.
Повний текст джерелаHolm, Mikayle A., Alex Deakyne, Erik Gaasedelen, Weston Upchurch, and Paul A. Iaizzo. "Classification of Left Atrial Appendage Morphology Using Deep Learning." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9018.
Повний текст джерелаSusanto, Iwan, Ing-Song Yu, Chi-Yu Tsai, Yen-Ten Ho, Ping-Yu Tsai, Dianta Mustofa Kamal, Belyamin, and Sulaksana Permana. "Characterization on Surface Morphology of GaN Layer Deposited on 2D MoS2 Developed by CVD System." In Annual Southeast Asian International Seminar. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010537900930096.
Повний текст джерелаLi, Guang-Rong, Juan Lei, Guan-Jun Yang, Cheng-Xin Li, and Chang-Jiu Li. "Constrained Healing and Morphology Change Mechanism of 2D Cracks in Plasma Sprayed Thermal Barrier Coatings." In ITSC2015, edited by A. Agarwal, G. Bolelli, A. Concustell, Y. C. Lau, A. McDonald, F. L. Toma, E. Turunen, and C. A. Widener. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.itsc2015p0258.
Повний текст джерелаRazban, Arash, Keyvan Mahjoory, and Mahdi Nooshyar. "Segmentation of retinal blood vessels by means of 2D Gabor wavelet and fuzzy mathematical morphology." In 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS). IEEE, 2016. http://dx.doi.org/10.1109/icspis.2016.7869877.
Повний текст джерелаMa, Ding, Sabareesh K. Natarajan, Jianping Xiang, Adnan Siddiqui, Elad I. Levy, J. Mocco, and Hui Meng. "2D and 3D Morphologic Metrics Associated Intracranial Aneurysm Rupture." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19633.
Повний текст джерелаQin, Ruihong, Yaping Ju, Yazhou Wang, and Chuhua Zhang. "Flow Analysis and Uncertainty Quantification of a 2D Compressor Cascade With Dirty Blades." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56915.
Повний текст джерелаKARKI, SAROJ, KARKI NAKAGAWA, KENJI KAWAIKE, MASAKAZU HASHIMOTO, YUJI HASEGAWA, EDDY J. LANGENDOEN, RIADH ATA, PABLO TASSI, KAMAL ., and EL KADI ABDERREZZAK. "Experimental and 2D Numerical Modelling of Morphology and Bank Erosion in Meandering Channels of Different Sinuosity." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1025x.
Повний текст джерелаSahadun, Nur Afiqah, Nor Azizah Ali, Habibollah Haron, and Mohammed Rafiq Abdul Kadir. "A simple object detection of trabecular bone morphology in 2D image at bovine sample preliminary segmentation." In 2017 6th ICT International Student Project Conference (ICT-ISPC). IEEE, 2017. http://dx.doi.org/10.1109/ict-ispc.2017.8075333.
Повний текст джерелаЗвіти організацій з теми "2D morphology"
Steegman, Ralph, Anne-Marie Renkema, Herman Verbeek, Adriaan Schoeman, Anne Marie Kuijpers-Jagtman, and Yijin Ren. Upper Airway Volumetric Changes on CBCT after Orthodontic Interventions: protocol for a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0017.
Повний текст джерела