Artistic features of neural networks: Image and video generation in the context of museum practice by Ivan V. Filippskiy

“…The author examines the features of such neural networks as Flux 1.1 Pro, designed to generate images based on text queries and supports post-processing of images in the «Ultra RAW» mode. …”
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Progresses and clinical application of super-resolution ultrasound imaging: a narrative review by Jia-yi Gao, Chao Hou

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The Architectural Language of Biophilic Design After Architects Use Text-to-Image AI by Chaniporn Thampanichwat, Tarid Wongvorachan, Limpasilp Sirisakdi, Panyaphat Somngam, Taksaporn Petlai, Sathirat Singkham, Bhumin Bhutdhakomut, Narongrit Jinjantarawong

“…The 30 selected images were used to help architects develop the architectural language to describe the characteristics of biophilic design across 10 categories: Form, Space, Movement, Light, Color, Material, Object, View, Sound, and Weather. …”
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Porosity of Geopolymers Using Complementary Techniques of Image Analysis and Physical Adsorption of Gases by Carlos A. Rosas-Casarez, Ramón Corral-Higuera, Susana P. Arredondo-Rea, José M. Gómez-Soberón, Manuel J. Chinchillas-Chinchillas, Margarita Rodríguez-Rodríguez, Manuel J. Pellegrini-Cervantes, Jesús M. Bernal-Camacho

“…Due to the susceptibility of this area to develop higher porosity, which leads to reduced mechanical properties and durability, it has become a significant focus of investigation in materials such as concrete and mortar. These analyses were carried out using physical adsorption of gases (PAG), and a methodology for image analysis of GM microporosity was implemented using micrographs obtained from a scanning electron microscope (SEM) and processed with the NI Vision Assistant 8.6 software (VA). …”
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Tackling copyright issues in AI image generation through originality estimation and genericization by Hiroaki Chiba-Okabe, Weijie J. Su

“…Here, we propose a genericization method that modifies the outputs of a generative model to make them more generic and less likely to imitate distinctive features of copyrighted materials. To achieve this, we introduce a metric for quantifying the level of originality of data, estimated by drawing samples from a generative model, and applied in the genericization process. …”
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Mental Images of Nurses with and without Patient with COVID-19: A Metaphor Study by Müjde Moran, Firdevs Ebru Özdemir, Zahide Gül Yazgi Demir, Mualla Yilmaz

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Deep convolution neural network model in problem of crack segmentation on asphalt images by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, L. A. Podkolzina

“…Thus, it is necessary to improve the conditional assessment schemes of the monitor objects through the autovision.Materials and Methods. The authors have proposed a model of a deep convolution neural network for identifying defects on the road pavement images. …”
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Combined Application of Deep Learning and Radiomic Features for Classification of Lung CT Images by Shariati Faridoddin, V. A. Pavlov

“…To introduce a new methodology combining deep learning and radiomic features extracted from computed tomography (CT) images for classification of lung cancer mutations.Materials and methods. …”
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Efficient Single-Exposure Holographic Imaging via a Lightweight Distilled Strategy by Jiaosheng Li, Haoran Liu, Zeyu Lai, Yifei Chen, Chun Shan, Shuting Zhang, Youyou Liu, Tude Huang, Qilin Ma, Qinnan Zhang

“…Digital holography can capture and reconstruct 3D object information, making it valuable for biomedical imaging and materials science. However, traditional holographic reconstruction methods require the use of phase shift operation in the time or space domain combined with complex computational processes, which, to some extent, limits the range of application areas. …”
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High Resolution Imaging Using Micro-Objectives Fabricated by 2-Photon-Polymerization by Fabian Thiemicke, Mostafa Agour, Ralf B. Bergmann, Claas Falldorf

“…The 2PP manufacturing process offers the ability to develop micro-optics with customized geometries and material properties, including tailored refractive indices. …”
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Maxillary Sinus Dimensions of Different Human Age Groups by CT Scan Imaging by Mohammad Ahmad ABDALLA

“…Various CT images were taken to calculate the three dimensions of the maxillary sinuses. …”
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Synthetic Tactile Sensor for Macroscopic Roughness Estimation Based on Spatial-Coding Contact Processing by Muhammad Irwan Yanwari, Shogo Okamoto

“…Sensors that mimic human tactile processing could bridge this gap. This study proposes a method for predicting macroscopic roughness perception based on a sensing principle that closely resembles human tactile information processing. …”
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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…[Conclusion] The MATLAB image segmentation algorithm had a wide recognition range and fast computational speed, which would be suitable for quantitative analysis of the color change process of intensive resources. …”
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Millimeter-scale radioluminescent power for electronic sensors by Averal N. Kandala, Sinan Wang, Joseph E. Blecha, Yung-Hua Wang, Rahul K. Lall, Ali M. Niknejad, Youngho Seo, Michael J. Evans, Robert R. Flavell, Henry F. VanBrocklin, Mekhail Anwar

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Indium Imidazo[4,5,-<i>b</i>]porphyrins as Photocatalysts for Oxidation of Sulfides by Inna A. Abdulaeva, Mikhail A. Filatov, Azhar Kechiche, Alla Bessmertnykh-Lemeune

“…The composition and structure of the materials were studied using a combination of elemental analysis, various spectroscopic methods, gas adsorption measurements, and SEM imaging. …”
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IMAGE OF THE FAMILY IN HIGH SCHOOL PREPARATION FOR PROFESSIONAL WORK OF THE BACHELOR SOCIAL WORK by Elena Zritneva, Elena Gorlova

“…The results of a survey of students by the survey, including free association experiment on a thematic material group «Family». The conditions offormation of the «family image» of the students in the learning process.…”
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Spine inflammatory changes in patients with ankylosing spondylitis assessed by magnetic resonance image by A G Bochkova, A. V. Levshakova, N. I. Bunchuk

“…To develop the optimal mode of spine evaluation with magnetic resonance image (MRl) in pts with ankylosing spondylitis (AS) and to study relationship between MR! …”
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Towards prediction of pseudo-normal SPECT image data using variational autoencoder by Katerina Dudasova, Jiri Trnka

“…The proposed model for generating a pseudo-normal image was based on a variational autoencoder (VAE) designed to process 2D sinograms of the brain [123I]-FP-CIT SPECT, potentially exhibiting abnormal uptake. …”
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Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events by F. A. Sharifullin, D. D. Dolotova, T. G. Barmina, S. S. Petrikov, L. S. Kokov, G. R. Ramazanov, Y. R. Blagosklonova, I. V. Arkhipov, I. M. Skorobogach, N. N. Cheremushkin, V. V. Donitova, B. A. Kobrinski, A. V. Gavrilov

“…However, since the use of these methods requires large arrays of DICOM (Digital Imaging and Communications in Medicine)-images, their implementation into clinical practice is limited by the lack of representative sample sets. …”
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Experimental Study on the Relationship between Compression Stability and Deformation Localization of Viscous/Brittle Rock-Like Materials by Xiangfeng Lv, Yahan Yang, Yan Chen, Nianjin Wang, Min Yang, Ying Shao, Jiaxing Li

“…The formation process of the compression deformation localization of rock-like materials and their relationship with stability were analyzed. …”
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