Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

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Characterization of VSV-GP morphology by cryo-EM imaging and SEC-MALS by Dongyue Xin, Leela Kurien, Katherine Briggs, Adrian Schimek, Richard Dambra, Daniel Hochdorfer, Tanja A. Arnouk, Marija Brgles, Saurabh Gautam, Dominik Hotter, Johannes Solzin, Thomas Kriehuber, Joseph Ashour, Adam Vigil, Michael Hawley, Xiaorong He

“…In this work, cryoelectron microscopy (cryo-EM) imaging was employed to directly visualize VSV-GP particles. Several different subpopulations of virus particle morphology were observed. …”
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Bystander editing by adenine base editors impairs vision restoration in a mouse model of Leber congenital amaurosis by Seok-Hoon Lee, Jun Wu, Dongjoon Im, Gue-ho Hwang, You Kyeong Jeong, Hui Jiang, Seok Jae Lee, Dong Hyun Jo, William A. Goddard, III, Jeong Hun Kim, Sangsu Bae

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Label-free classification of growth-arrested state of cells by quantitative phase microscopy in fixative-treated cells by Mazaya Najmina, Nicholaus Kevin Tanjaya, Satoshi Ishii, Koichiro Uto

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AAV capsids target muscle-resident cells with different efficiencies—A comparative study between AAV8, AAVMYO, and AAVMYO2 by Timothy J. McGowan, Nicolas Lewerenz, Eleonora Maino, Marco Thürkauf, Lena Jörin, Markus A. Rüegg

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Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning by Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi

“…Non-negative matrix factorization (NMF), an unsupervised machine learning method, was performed on 961 patterns obtained by spatial mapping of micro-beam X-ray diffraction measurements. …”
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Development of a compact near-infrared lamp furnace for synchrotron powder diffraction and its application for in situ high-temperature observation of ferrite magnets by Shintaro Kobayashi, Shogo Kawaguchi

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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…Here, we propose a quantum data visualization method using quantum kernels, which enables us to offer fast and highly accurate visualization of quantum states. …”
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Physical Simulation of Burning Process of Alternative Engine Fuels by M. S. Assad

“…Visualization of burning process in the closed vessel has been fulfilled with the help of method high-speed photography through a transparent glass. …”
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Urban Traffic Noise Analysis with The Integration of Vision-Language Model and 3DWebGIS by Y. Zhang, Z. Wang, L. Huang, L. Huang, R. Huang

“…This study proposes an innovative three-dimensional dynamic noise mapping method addressing existing technical challenges in noise modeling and visualization. …”
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基于半监督聚元自组织映射的齿轮早期故障检测 by 樊帆, 徐亚兵

“…Self-organizing feature map is often limited by long training time,low diagnosis accuracy and bad classification visualization when it is applied in gear fault diagnosis.A novel method of semi-supervised LDA-GNSOM（Linear Discriminative Analysis Grouping Neuron Self-organized Map） is proposed for fault diagnosis.Firstly,the fault of original feature space is reduced by using LDA,and then the reduced feature subsets are input into the semi-supervised GNSOM network for classification and visualization.The effectiveness of this method is verified by using Iris dataset.And the gear incipient fault experiments are also conducted to demonstrate that the new approach is effective for gear incipient pitting detection.…”
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Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses by Kleomenis Kalogeropoulos, Dionysios Fragkopoulos, Panagiotis Andreopoulos, Alexandra Tragaki

“…This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. …”
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Use of the metaverse to advance wind power generation projects by Harada Norio, Takei Chikako, Kimurai Ichiro

“…The survey results indicated a 3.5-fold improvement in understanding of the construction details and project impact using our visualization method.…”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…Finally, through the space–time grid visualization experiments and LOD experiments, it is proved that the method of this paper can significantly improve the visualization and loading efficiency of CIM.…”
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Spectral Pattern Classification in Lidar Data for Rock Identification in Outcrops by Leonardo Campos Inocencio, Mauricio Roberto Veronez, Francisco Manoel Wohnrath Tognoli, Marcelo Kehl de Souza, Reginaldo Macedônio da Silva, Luiz Gonzaga Jr, César Leonardo Blum Silveira

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Multimodal Intelligent Flooring System for Advanced Smart‐Building Monitoring and Interactions by Yuqi Chen, Jianlong Hong, Yukun Xiao, Huiyun Zhang, Jun Wu, Qiongfeng Shi

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Video map: A realtime orthographic geo-image considering DEM and semantic information. by Xingguo Zhang, Xiaodi Li, Shuai Ren, Mohan Liu, Sen Yang

“…Aiming at the problem that it is difficult to accurately calibrate massive Pan-Tilt-Zoom Camera (PTZ) cameras on telecommunication tower and the visualization effect of orthographic geo-image is poor, this paper proposes a new method of realtime orthographic geo-image generating, which is considering Digital Elevation Model (DEM) and semantic information (ROGI-DS). …”
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Synthetic Aperture Cardiac Imaging with Reduced Number of Acquisition Channels. A Feasibility Study by Yuriy TASINKEVYCH, Marcin LEWANDOWSKI, Ziemowit KLIMONDA, Mateusz Walczak

“…Specifically, it was shown that the proposed method resulted in image quality metrics (lateral resolution, contrast and contrast-to-noise ratio), for a visualization depth not exceeding 50 mm, that were comparable with the classical PA beamforming. …”
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Cyber threat intelligence for smart grids using knowledge graphs, digital twins, and hybrid machine learning in SCADA networks by Nabeel Al-Qirim, Munir Majdalawieh, Anoud Bani-hani, Hussam Al Hamadi

“…The existing cyber threat intelligence (CTI) approaches of grids are unable to provide visualization of cyber-attacking grid effects. To understand the full effect of the attacks, there is a need for a knowledge-graph method-based digital-twin cyber-attack visualization approach in SCADA networks, which is missing in existing SCADA systems. …”
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Low-Cost, LiDAR-Based, Dynamic, Flood Risk Communication Viewer by Debra F. Laefer, Evan O’Keeffe, Kshitij Chandna, Kim Hertz, Jing Zhu, Raul Lejano, Anh Vu Vo, Michela Bertolotto, Ulrich Ofterdinger

“…This paper proposes a flood risk visualization method that is (1) readily transferable (2) hyperlocal, (3) computationally inexpensive, and (4) geometrically accurate. …”
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