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Journal articles on the topic 'Snapshot images; Computer simulation'

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1

Kvitka, V. E. "Simulation and Prototyping of an Orbital Lightning Detector." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 3 (132) (September 2020): 4–17. http://dx.doi.org/10.18698/0236-3933-2020-3-4-17.

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The problem of detecting lightning flashes from space is becoming more and more important as the remote sensing of Earth, climatology and atmospheric physics develop. Orbital lightning detectors are designed both in Russia and abroad. The paper considers the problem of mathematical and physical simulation of a high-speed camera designed to observe lightning flashes from onboard spacecraft in low Earth orbit. Our previous works substantiated the exterior design of the lightning detector, computed its properties and described the algorithms behind the software. In order to validate the design re
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2

Bai, Feng, and Yi Wang. "Reduced-Order Modeling Based on Hybrid Snapshot Simulation." International Journal of Computational Methods 18, no. 01 (2020): 2050029. http://dx.doi.org/10.1142/s0219876220500292.

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This paper presents a hybrid snapshot simulation methodology to accelerate the generation of high-quality data for proper orthogonal decomposition (POD) and reduced-order model (ROM) development. The entire span of the snapshot simulation is divided into multiple intervals, each simulated by either high-fidelity full-order model (FOM) or fast local ROM. The simulation then alternates between FOM and local ROM to accelerate snapshot data generation while maintaining the data fidelity and representation. Model switch is determined on-the-fly by evaluating several criteria that monitor the domina
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Zhang, Jianqi, Dorthe Posselt, Alessandro Sepe, et al. "Vapor Treatment of Block Copolymer Thin Films: GISAXS and Simulations." Acta Crystallographica Section A Foundations and Advances 70, a1 (2014): C877. http://dx.doi.org/10.1107/s2053273314091220.

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The structural evolution in poly(styrene-b-butadiene) (P(S-b-B)) diblock copolymer thin films during treatment with cyclohexane vapor is investigated in-situ and in real-time using grazing-incidence small-angle X-ray scattering (GISAXS) [1]. Both the swelling and the drying process are investigated. The lamellae are initially perpendicular to the film surface, i.e. the film is laterally nanostructured. Cyclohexane is a good solvent for PB and a theta solvent for PS, i.e., it is slightly selective. Using incident angles above and below the polymer critical angle, structural changes near the fil
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4

HASHIMOTO, Junko, Akira SAKAI, Akiko JIMBO, and Toshio SAKURAI. "Computer simulation of semiconductor field ion images." SHINKU 28, no. 8 (1985): 631–35. http://dx.doi.org/10.3131/jvsj.28.631.

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5

SAKAI, A., J. HASHIMOTO, T. SAKURAI, K. OSAWA, and T. NINOMIYA. "COMPUTER SIMULATION OF FIELD-ION IMAGES OF QUASICRYSTALS." Le Journal de Physique Colloques 47, no. C7 (1986): C7–469—C7–475. http://dx.doi.org/10.1051/jphyscol:1986779.

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6

Che, Li, and Fengju Kang. "Exploring the efficiency of image metric for assessing the visual quality of 3D mesh model." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 06 (2018): 1850056. http://dx.doi.org/10.1142/s1793962318500563.

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Recent developments in 3D graphics technology have led to extensive processes on 3D meshes (e.g., compression, simplification, transmission and watermarking), these processes unavoidably cause the visual perceptual degradation of the 3D objects. The existing mesh visual quality evaluation metrics either require topology constrain or fail to reflect the perceived visual quality. Meanwhile, for the 3D objects that are observed on 2D screens by the users, it is reasonable to apply image metric to assess the distortion caused by mesh simplification. We attempt to explore the efficiency of image me
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7

Sivkov, S. I., S. P. Simakov, and A. I. Vinokur. "Algorithms for contactless scanning of book monuments." Proceedings of SPSTL SB RAS, no. 3 (September 21, 2021): 9–15. http://dx.doi.org/10.20913/2618-7575-2021-3-9-15.

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The article is devoted to the questions of cultural heritage preservation by creating the digital collection of book monuments. The original documents are monuments of book culture and their dilapidated state requires careful handling, splitting of documents for scanning is extremely undesirable. The market does not present the equipment for contactless scanning of books without embroidering, therefore an algorithm that allows digitalizing book monuments in a contactless way has been developed. The technique has been constructed using an algorithm based on the projection of the light grid on t
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8

Łukaszewski, A., and A. Szczepkowicz. "Computer simulation of FIM images – the convex hull model." Vacuum 54, no. 1-4 (1999): 67–71. http://dx.doi.org/10.1016/s0042-207x(98)00437-0.

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9

Bashiri-Bawil, Mahdi, Sara Rahavi-Ezabadi, Mohammad Sadeghi, Reza A. Zoroofi, and Amin Amali. "Preoperative Computer Simulation in Rhinoplasty Using Previous Postoperative Images." Facial Plastic Surgery & Aesthetic Medicine 22, no. 6 (2020): 406–11. http://dx.doi.org/10.1089/fpsam.2019.0016.

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10

Kalitov, M. A., and N. P. Kornyshev. "Computer simulation of the formation of digital spectrozonal images." Journal of Physics: Conference Series 1352 (October 2019): 012025. http://dx.doi.org/10.1088/1742-6596/1352/1/012025.

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11

Camporeale, Claudio, and Gaspare Galati. "Digital computer simulation of synthetic aperture systems and images." European Transactions on Telecommunications 2, no. 3 (1991): 343–52. http://dx.doi.org/10.1002/ett.4460020311.

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12

Drake, Virginia E., Christopher J. Rizzi, Jewel D. Greywoode, Kavita T. Vakharia, and Kalpesh T. Vakharia. "Midface Fracture Simulation and Repair: A Computer-Based Algorithm." Craniomaxillofacial Trauma & Reconstruction 12, no. 1 (2019): 14–19. http://dx.doi.org/10.1055/s-0037-1608696.

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We introduce a novel computer-based method to digitally fixate midfacial fractures to facilitate more efficient intraoperative fixation. This article aims to describe a novel computer-based algorithm that can be utilized to model midface fracture reduction and fixation and to evaluate the algorithm's ability to produce images similar to true postoperative images. This is a retrospective review combined with cross-sectional survey from January 1, 2010, to December 31, 2015. This study was performed at a single tertiary care, level-I trauma center. Ten patients presenting with acute midfacial tr
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13

Jenkins, Rob, and A. Mike Burton. "Stable face representations." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1571 (2011): 1671–83. http://dx.doi.org/10.1098/rstb.2010.0379.

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Photographs are often used to establish the identity of an individual or to verify that they are who they claim to be. Yet, recent research shows that it is surprisingly difficult to match a photo to a face. Neither humans nor machines can perform this task reliably. Although human perceivers are good at matching familiar faces, performance with unfamiliar faces is strikingly poor. The situation is no better for automatic face recognition systems. In practical settings, automatic systems have been consistently disappointing. In this review, we suggest that failure to distinguish between famili
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14

Dawson, A. H., J. S. Fleming, S. M. A. Hoffmann, L. Papaspyrou, and S. Peel. "A19 Computer simulation of gamma camera images of the kidney." Nuclear Medicine Communications 27, no. 3 (2006): 285. http://dx.doi.org/10.1097/00006231-200603000-00030.

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15

Chen, Mason T., Faisal Mahmood, Jordan A. Sweer, and Nicholas J. Durr. "GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images." IEEE Transactions on Medical Imaging 39, no. 6 (2020): 1988–99. http://dx.doi.org/10.1109/tmi.2019.2962786.

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16

Bell, J. M., and L. M. Linnett. "Simulation and analysis of synthetic sidescan sonar images." IEE Proceedings - Radar, Sonar and Navigation 144, no. 4 (1997): 219. http://dx.doi.org/10.1049/ip-rsn:19971311.

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17

Yu, Jie, Peng Xiao, Zhoujun Li, and Yuan Zhou. "Toward an Accurate Snapshot of DHT Networks." IEEE Communications Letters 15, no. 1 (2011): 97–99. http://dx.doi.org/10.1109/lcomm.2010.110310.101027.

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18

Kerr, A. T., and J. W. Hunt. "A method for computer simulation of ultrasound doppler color flow images—II. Simulation results." Ultrasound in Medicine & Biology 18, no. 10 (1992): 873–79. http://dx.doi.org/10.1016/0301-5629(92)90025-6.

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19

Foley, Michael J., Patrick S. Cottler, Silvia S. Blemker, Arlen D. Denny, and Jonathan S. Black. "Computer Simulation and Optimization of Cranial Vault Distraction." Cleft Palate-Craniofacial Journal 55, no. 3 (2017): 356–61. http://dx.doi.org/10.1177/1055665617738999.

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Objective: The objective of this study was to validate the proof of concept of a computer-simulated cranial distraction, demonstrating accurate shape and end volume. Design: Detailed modeling was performed on pre- and postoperative computed tomographic (CT) scans to generate accurate measurements of intracranial volume. Additionally, digital distraction simulations were performed on the preoperative scan and the resultant intracranial volume and shape were evaluated. Setting: Tertiary Children’s Hospital. Patients, Participants: Preoperative and postoperative CT images were used from 10 patien
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20

Gupta, Pooja, and Kuldip Pahwa. "Clock Algorithm Analysis for Increasing Quality of Digital Images." International Journal of Image and Graphics 16, no. 03 (2016): 1650016. http://dx.doi.org/10.1142/s0219467816500169.

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A digital image is not an exact snapshot of reality; it is only a discrete approximation. Thus, the captured images are always bit different from the images actually perceived by human eyes. These variations occur due to varying lighting conditions, weathers conditions like rain and fog, distance of scene from camera, image capturing angle, etc. The problem becomes more severe if these images are captured using low resolution image capturing devices like: Mobile phones, CCTV Cameras, Webcam, VGA cameras etc. Image enhancement addresses a solution of generating a high quality image from its low
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21

Ponížil, Petr, Ivan Saxl, and Jaroslav Procházka. "Classification and Computer Simulation of 2D Tessellations." Materials Science Forum 567-568 (December 2007): 281–84. http://dx.doi.org/10.4028/www.scientific.net/msf.567-568.281.

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In an analogy to the 3D tool of tessellation classification – w−s diagram, a similar graphical device is proposed for 2D tessellations. Any tessellation is represented by a point in the Cartesian coordinate system with the axes Ep (the mean cell perimeter) and CV a (the coefficient of cell area variation). Images of tessellations and p−CV a diagrams for selected tessellations with low and high values of CV a are shown as examples.
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22

Gao, Fa Zhao. "The Simulation of the Psychological Impact of Computer Vision De-Noising Technology." Applied Mechanics and Materials 556-562 (May 2014): 5013–16. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5013.

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The paper mainly discusses the analysis method for the psychological impact of computer vision noising technology. Actually, people's psychological acceptance and corresponding memory capacity of computer vision images with lots of noise are relatively poor. The de-noising process to computer vision images can improve the clarity, thus generating passive psychological impact. Therefore, the paper proposes a spatial domain filtering algorithm-based de-noising method for computer vision. It establishes wavelet packet decomposition tree for computer vision images and de-noises accordance with the
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23

Nakai, Kiyomichi, Yusuke Isobe, Chiken Kinoshita, and Kazutoshi Shinohara. "Characterization of Modulated Structure Through Structure Images and their Computer Simulation." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (1990): 70–71. http://dx.doi.org/10.1017/s0424820100179105.

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Induced spinodal decomposition under electron irradiation in a Ni-Au alloy has been investigated with respect to its basic mechanism and confirmed to be caused by the relaxation of coherent strain associated with modulated structure. Modulation of white-dots on structure images of modulated structure due to high-resolution electron microscopy is reduced with irradiation. In this paper the atom arrangement of the modulated structure is confirmed with computer simulation on the structure images, and the relaxation of the coherent strain is concluded to be due to the reduction of phase-modulation
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24

OGAWA, Mondo, Kenkichi SATO, and Fumihiro Odaka. "G2000-1-3 Computer Simulation of Caustic Images in Our Life." Proceedings of the JSME annual meeting 2010.5 (2010): 263–64. http://dx.doi.org/10.1299/jsmemecjo.2010.5.0_263.

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25

Akiyama, Iwaki, Akihisa Ohya, Nobuyuki Taniguchi, and Koichi Itoh. "Computer Simulation of Ultrasonic Images with Self-Similarity of Tissue Structures." Japanese Journal of Applied Physics 34, Part 1, No. 5B (1995): 2826–30. http://dx.doi.org/10.1143/jjap.34.2826.

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26

Schmidt, V., R. Hillebrand, R. Albrecht, W. Neumann, and B. Müller. "Computer simulation of HREM images of network models of SiO2 glass." Ultramicroscopy 17, no. 4 (1985): 357–64. http://dx.doi.org/10.1016/0304-3991(85)90202-5.

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27

Yang, Ying, Yong Xie, Xunhao Chen, and Yubao Sun. "Hyperspectral Snapshot Compressive Imaging with Non-Local Spatial-Spectral Residual Network." Remote Sensing 13, no. 9 (2021): 1812. http://dx.doi.org/10.3390/rs13091812.

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Snapshot Compressive Imaging is an emerging technology that is based on compressive sensing theory to achieve high-efficiency hyperspectral data acquisition. The core problem of this technology is how to reconstruct 3D hyperspectral data from the 2D snapshot measurement in a fast and high-quality manner. In this paper, we propose a novel deep network, which consists of the symmetric residual module and the non-local spatial-spectral attention module, to learn the reconstruction mapping in a data-driven way. The symmetric residual module uses symmetric residual connections to improve the potent
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28

Dillenseger, Jean-Louis, Soizic Laguitton, and Éric Delabrousse. "Fast simulation of ultrasound images from a CT volume." Computers in Biology and Medicine 39, no. 2 (2009): 180–86. http://dx.doi.org/10.1016/j.compbiomed.2008.12.009.

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29

Lee, Pei Yuan, Jiing Yih Lai, Chung Yi Huang, and Yu Sheng Hu. "Computer Assisted Fracture Reduction and Fixation Simulation for Pelvic Fractures." Applied Mechanics and Materials 493 (January 2014): 354–60. http://dx.doi.org/10.4028/www.scientific.net/amm.493.354.

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Abstract. The objective of this study is to present an integrated surgical simulation program on a personal computer for the preoperative planning of pelvic fractures. It first provides a visualization module to display 2D images and 3D model simultaneously. A semi-automatic bone segmentation module is then provided to separate the bony structures, enabling the manipulation of individual fractured bone and bone fragment. A bone reduction module is provided for the localization of the fractured bones. The simulation of plate and screw fixation is also presented, which provides useful informatio
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Bajić, Milan, and Milan Bajić. "Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey." Remote Sensing 13, no. 5 (2021): 837. http://dx.doi.org/10.3390/rs13050837.

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This paper presents methods for the modeling and simulation of explosive target placement in terrain spectral images (i.e., real hyperspectral 90-channel VNIR data), considering unexploded ordnances, landmines, and improvised explosive devices. The models used for landmine detection operate at sub-pixel levels. The presented research uses very fine spatial resolutions, 0.945 × 0.945 mm for targets and 1.868 × 1.868 cm for the scene, where the number of target pixels ranges from 52 to 116. While previous research has used the mean spectral value of the target, it is omitted in this paper. The m
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Thunberg, Per, and Per Zetterberg. "Noise distribution in SENSE- and GRAPPA-reconstructed images: a computer simulation study." Magnetic Resonance Imaging 25, no. 7 (2007): 1089–94. http://dx.doi.org/10.1016/j.mri.2006.11.003.

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32

Medvedeva, E. V., and S. S. Alexandrova. "Investigating the phase transformations in AuCuPd with computer simulation of ion images." Bulletin of the Russian Academy of Sciences: Physics 77, no. 3 (2013): 346–48. http://dx.doi.org/10.3103/s106287381303026x.

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33

Ohdomari, Iwao, Tohru Mihara, and Kazuhiko Kai. "Computer simulation of high‐resolution transmission electron microscopy images of Si/SiO2interfaces." Journal of Applied Physics 59, no. 8 (1986): 2798–802. http://dx.doi.org/10.1063/1.336959.

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34

René Rasmussen, D., and C. Barry Carter. "A computer program for many-beam image simulation of amplitude-contrast images." Journal of Electron Microscopy Technique 18, no. 4 (1991): 429–36. http://dx.doi.org/10.1002/jemt.1060180412.

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35

Balter, James, Charles A. Pelizzari, S. Vijayakumar, and George T. Y. Chen. "Computer aided registration of simulation and portal images: an exploratory clinical study." International Journal of Radiation Oncology*Biology*Physics 19 (January 1990): 168–69. http://dx.doi.org/10.1016/0360-3016(90)90736-4.

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36

Shu, Jian, Lei Xu, Shandong Jiang, and Lingchong Meng. "Connected model for opportunistic sensor network based on Katz centrality." Computer Science and Information Systems 14, no. 3 (2017): 735–50. http://dx.doi.org/10.2298/csis161210026s.

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Connectivity is an important indicator of network performance. But the opportunistic sensor networks (OSNs) have temporal evolution characteristics, which are hard to modelled with traditional graphs. After analyzing the characteristics of OSNs, this paper constructs OSNs connectivity model based on time graph theory. The overall connectivity degree of the network is defined, and is used to estimate actual network connectivity. We also propose a computing method that uses the adjacency matrix of each snapshot. The simulation results show that network connectivity degree can reflect the overall
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37

Blade, Richard A. "Stereographic Photography on the Computer." International Journal of Virtual Reality 1, no. 2 (1995): 40–42. http://dx.doi.org/10.20870/ijvr.1995.1.2.2605.

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The author provides a semi-technical review of the principles of stereographic photography usable without special equipment and discusses the current methods of viewing stereo photographs as computer images. Included is a discussion of recently developed commercial software called Wireframe Express that allows two or more photographic images of an object, taken at different but arbitrary positions, to be joined into a composite 3D model for stereographic viewing from any angle. Among other things, this recent technology allows the virtual reality simulation of historic buildings and rooms to b
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38

Oliver, C. J. "The interpretation and simulation of clutter textures in coherent images." Inverse Problems 2, no. 4 (1986): 481–518. http://dx.doi.org/10.1088/0266-5611/2/4/012.

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39

Fan, Gary. "Simulation and information assessment of TEM and STEM images." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 70–73. http://dx.doi.org/10.1017/s0424820100125348.

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Small and moderate digital systems, especially those with computer-microscope interface capabilities and possibly equipped with image frame stores, are being commonly employed in electron microscopy laboratories. The complexity of such systems varies greatly, ranging from those composed of simply a personal computer with minimum interfacing hardwares such as digital to analog converters(DACs) and pulse counters (or ADCs), compact enough to be fitted into a small cart and transported from room to room, to those consisting of image processing systems controlled by mini- or super mini-computers w
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40

Larabi, S. "Textual Description of Images." International Journal of Simulation Modelling 6, no. 2 (2007): 93–101. http://dx.doi.org/10.2507/ijsimm06(2)s.04.

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41

Vishnyakova, L. V., V. Ya Kim, K. V. Obrosov, N. K. Obrosova, and A. I. Rodionov. "Search-Detection-Recognition: Simulation via Thermal Images with Varying Quality." Journal of Computer and Systems Sciences International 59, no. 6 (2020): 905–17. http://dx.doi.org/10.1134/s106423072006012x.

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42

Hou, Yu, Rebekka Volk, and Lucio Soibelman. "A Novel Building Temperature Simulation Approach Driven by Expanding Semantic Segmentation Training Datasets with Synthetic Aerial Thermal Images." Energies 14, no. 2 (2021): 353. http://dx.doi.org/10.3390/en14020353.

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Multi-sensor imagery data has been used by researchers for the image semantic segmentation of buildings and outdoor scenes. Due to multi-sensor data hunger, researchers have implemented many simulation approaches to create synthetic datasets, and they have also synthesized thermal images because such thermal information can potentially improve segmentation accuracy. However, current approaches are mostly based on the laws of physics and are limited to geometric models’ level of detail (LOD), which describes the overall planning or modeling state. Another issue in current physics-based approach
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43

Kilaas, Roar. "Interactive simulation of high-resolution electron micrographs." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 66–69. http://dx.doi.org/10.1017/s0424820100125336.

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Only a few years ago image simulation of HRTEM images were mostly carried out as low priority jobs on large mainframe computers with images available the next day as overprinted characters on computer paper. Today the same calculation can be carried out on a dedicated workstation in a matter of minutes with output on high resolution video monitors. This improvement in computer hardware has produced a shift from software primarily designed to run as batch jobs to interactive software that allows instant changes to both the atomic model and microscope parameters. In these near “real time” calcul
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Sathishkumar, B. S., and G. Nagarajan. "An efficient algorithm for computer tomography in low radiation images." Advances in Modelling and Analysis B 61, no. 4 (2018): 189–97. http://dx.doi.org/10.18280/ama_b.610403.

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45

DE VIN, LEO J., AMOS H. C. NG, and JAN OSCARSSON. "SIMULATION-BASED DECISION SUPPORT FOR MANUFACTURING SYSTEM LIFE CYCLE MANAGEMENT." Journal of Advanced Manufacturing Systems 03, no. 02 (2004): 115–28. http://dx.doi.org/10.1142/s0219686704000454.

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Previous research has highlighted the role of virtual engineering tools in the development of manufacturing machinery systems. Simulation models created for this purpose can potentially be used to provide support for other tasks, such as operational planning and service and maintenance. This requires that the simulation models can be fed with historic data as well as with snapshot data. Furthermore, the models must be able to communicate with other business software. The paper describes how simulation models can be used for operational production planning and for service and maintenance suppor
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Pei, Yang, Xiangyang Luo, Yi Zhang, and Liyan Zhu. "Multiple Images Steganography of JPEG Images Based on Optimal Payload Distribution." Computer Modeling in Engineering & Sciences 125, no. 1 (2020): 417–36. http://dx.doi.org/10.32604/cmes.2020.010636.

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47

Nemoto, Iku, and Akira Takahashi. "Methods of improving the images in phase-contrast microscopy: theory and computer simulation." Journal of the Optical Society of America A 8, no. 3 (1991): 511. http://dx.doi.org/10.1364/josaa.8.000511.

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48

Medvedeva, E. V., S. S. Alexandrova, and T. A. Belykh. "Computer simulation of field ion images of nanoporous structure in the irradiated materials." Journal of Physics: Conference Series 345 (February 9, 2012): 012009. http://dx.doi.org/10.1088/1742-6596/345/1/012009.

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49

Noll, Reinhard, Claus R. Haas, Bruno Weikl, and Gerd Herziger. "Computer simulation of schlieren images of rotationally symmetric plasma systems: a simple method." Applied Optics 25, no. 5 (1986): 769. http://dx.doi.org/10.1364/ao.25.000769.

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50

Kowalski, G., and A. R. Lang. "Developments in computer simulation of X-ray diffraction contrast images of stacking faults." Journal of Applied Crystallography 19, no. 4 (1986): 224–28. http://dx.doi.org/10.1107/s0021889886089525.

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