Search Results - same segmentation

Automatic Non-Urban Road Surface Point Extraction Based on Geometric Features Using Neural Networks and Raster Structure Approach by M. Dowajy, M. Fawzy, M. Fawzy, A. Barsi, T. Lovas

“…The automatic segmentation of road surface points from 3D point cloud data has recently gained significant attention. …”
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Analysis of New Energy Vehicle Marketing Strategy - Taking Xiaomi as an Example by Zheng Xiangyu

“…This paper adopts case analysis, data comparison, and policy analysis methods to discuss market segmentation, product differentiation, and channel expansion. …”
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Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas by Jose Wilson Vieira, Igor Fagner Vieira, Leanderson Pereira Cordeiro, Ferdinand Jesus Lopes Filho, Fernando Roberto de Andrade Lima

“…This work is demonstrated the step by step how to segment color images on the thoracic region of an adult in order to separate the tumor volume at present same conditions without significantly changing the values of R components (Red), G (Green) and B (Blue) color of the pixels . …”
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Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach by Evangelos Rozos

“…This segmentation reduces the effective length of the series, limiting the model’s ability to capture and reproduce long-term dependencies. …”
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Multifocus Images Fusion Based On Homogenity and Edges Measures by Baghdad Science Journal

“…Image fusion is one of the most important techniques in digital image processing, includes the development of software to make the integration of multiple sets of data for the same location; It is one of the new fields adopted in solve the problems of the digital image, and produce high-quality images contains on more information for the purposes of interpretation, classification, segmentation and compression, etc. …”
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Comparison of digital image analysis methods for morphometric characterization of soil aggregates in thin sections by O. O. Plotnikova, T. V. Romanis, P. G. Kust

“…No significant differences were found between the parameters of the same aggregates obtained by the compared methods. …”
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INTERNET INFLUENCE ON INTERNATIONAL POLITICS by E. S. Zinovieva

“…New forms of international conflicts, including information war, network wars, hacker attacks etc. are one of the negative results of the fast internet and information technologies development.At the same time development of information technology poses new challenges to international and national security, which can only be reduced through collective efforts of the international community.…”
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Social marketing: can we utilize marketing concepts and techniques for the promotion of social objectives? by Samy Abdel Aziz

“…Its basic notion is that the same marketing ideologies that utilized to sell consumer goods can also be employed to promote concepts, attitudes, and behaviors. …”
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A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM by ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun

“…To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. …”
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Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX by Mahmoud H. Farhan, Khalid Shaker, Sufyan Al-Janabi

“…In CMF, the new forgery image is created by copying a part presented in an image and placing it at a different location on the same image. This paper proposes a PointRend as a technique to localize copy-move forgeries. …”
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Pskov-Krivichi Ethnomusicological Borderlines of the Russian Northwest by Larisa M. Belogurova

“…On the one hand, like the ritual songs of the Western ethnocultural region, they are coordinated with syllabic verses, form strophic compositions according to the model of caesurised chants, and even use caesurised rhythmic formulas. At the same time, they demonstrate qualities of segmented musical-rhythmic organisation, whose principles of accentuation — whether uniform or uneven — connects them with northern Russian culture. …”
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Diverse Counterfactual Explanations (DiCE) Role in Improving Sales and e-Commerce Strategies by Simona-Vasilica Oprea, Adela Bâra

“…Unlike previous research that applied counterfactual analysis in customer segmentation, energy forecasting, and retail pricing, our method directly integrates explainability into product-level pricing decisions. …”
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Subsidies and the income inequality in the Hungarian wine sector by Imre Ferto, Stefan Bojnec

“…The 20% of the largest wine farms created from almost 90% to less than 80% of wine farm total incomes between 2013 and 2019, but during the same period their participation in CAP subsidy payments was reduced much more from more than 80% to around 60%. …”
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Stochastic Frontier-Based Analysis of Energy Efficiency in Russian Open-Pit Mining Enterprises by Ulvi Rzazade, Sergey Deryabin, Igor Temkin, Aslan Agabubaev

“…The results of computational experiments on constructing an energy efficiency model using the SFA/Cobb–Douglas function for various data segmentation options are presented. Computational experiments have been conducted to compare variants based on the Cobb–Douglas production function and translog function with semi-normal and exponential distribution forms for the same data set. …”
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Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

“…The results of the porosity analysis, obtained in the form of a log-normal distribution of pore sizes, show that the developed computer vision model has a high accuracy of analyzing the porous structure of the material under study: <i>Precision</i> = 0.86 and <i>Recall</i> = 0.88 for detection; precision = 0.86 and recall = 0.91 for segmentation. The Hellinger and Kolmogorov–Smirnov statistical criteria, for determining the belonging of the real distribution and the one obtained using the intelligent algorithm to the same general population show high significance. …”
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Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis. by Jia Ying, Renee Cattell, Chuan Huang

“…Great effort was made to schedule all scans within a narrow three-hour window on the same day to minimize any potential intra- or inter-day variations, requiring substantial logistical coordination. …”
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Robotic surgery – digital technology that saves lives by S. A. Sheptunov, A. O. Vasiliev

“…The data provided indicate insufficient growth of the world market for roboticsurgery, segmentation by country (in favor of highly developed countries) and monopolization. …”
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Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges by Tomoya Nakamizo, Mayuko Nishio

“…Additionally, the influence of point cloud data quality on FE model geometry and analysis results was evaluated based on geometric accuracy and point cloud density metrics, revealing that significant variations in density within the same surface lead to reduced neutral plane estimation accuracy. …”
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Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model by Metin Akay, Yong Du, Cheryl L. Sershen, Minghua Wu, Ting Y. Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay

“…The training time was less than 5 hours. We also analyzed the same normal vs SSc skin image sets using the CNN using the same laptop. …”
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The Integration of Micro-CT Imaging and Finite Element Simulations for Modelling Tooth-Inlay Systems for Mechanical Stress Analysis: A Preliminary Study by Nikoleta Nikolova, Miryana Raykovska, Nikolay Petkov, Martin Tsvetkov, Ivan Georgiev, Eugeni Koytchev, Roumen Iankov, Mariana Dimova-Gabrovska, Angela Gusiyska

“…The approach enables the visualisation of stress and deformation patterns, with preliminary results indicating stress concentrations at the tooth-restoration interface integrating different cavity alternatives and restorations on the same tooth. Quantitative outputs include von Mises stress, strain energy density, and displacement distribution. …”
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