XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

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Modern Possibilities for the Vireoretinal Interface Contrasting (Experimental Study) by N. M. Kislitsyna, S. V. Kolesnik, S. V. Novikov, A. I. Kolesnik, M. P. Veselkova

“…To investigate and compare staining properties of two vital dyes for vitreous body (VB) and vitreoretinal interface visualization: “Kenalog-40” and “Vitreocontrast”.Patients and methods. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting the critical need for early and accurate detection methods. Traditional mammography, although widely used, has limitations, including radiation exposure and challenges in detecting early-stage lesions. …”
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BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification by Jiwon Han, Byungmin Choi, Jae Young Kim, Yeonjoon Lee

“…While various image enhancement methods have been proposed, Contrast Limited Adaptive Histogram Equalization (CLAHE) has been recognized as an effective technique for contrast-based image improvement. …”
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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement by Shahid Mehmood, Tariq Shahzad, Muhammad Zubair, Farman Matloob Khan, Muhammad Adnan Khan, Khmaies Ouahada, Amir H. Gandomi

“…The precise identification and enumeration of each variety of WBCs are essential for the diagnosis and management of various conditions, including infectious diseases, immune disorders, immunological deficiencies, leukemia, and so forth. The conventional method of examining bone marrow cells by hematologists and pathologists using microscopy is tedious, time-consuming, and prone to variability among observers. …”
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…Effective glioma, meningioma, and pituitary tumor diagnosis and treatment requires the precise differentiation of these tumors as well as non-tumors for improved clinical outcomes. <b>Methods:</b> Here, we present a new method to classify brain tumors based on the MobileNetV2 architecture with advanced preprocessing for high accuracy. …”
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Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model by Anning Duanmu, Sheng Xue, Zhenye Li, Yajun Zhang, Chao Ni

“…Comparative analyses demonstrate that this approach outperforms existing machine learning methods by over 12% in classification accuracy.…”
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Assessment of metal artifacts from titanium wrist prostheses: photon-counting versus energy-integrating detector CT by Nina Kämmerling, Simon Farnebo, Mårten Sandstedt, Ronald Booij, Anders Persson, Erik Tesselaar

“…Methods After ethical approval, 15 patients were examined with PCD-CT and EID-CT. …”
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Vision-Based 6D Pose Analytics Solution for High-Precision Industrial Robot Pick-and-Place Applications by Balamurugan Balasubramanian, Kamil Cetin

“…The Z-position of the object is calculated from the camera’s intensity data, while the remaining X-Y rotation angles are determined using the angle-of-inclination analytics method. It is experimentally verified that the proposed analytical solution outperforms the hybrid-based method (YOLO-v8 combined with PnP/RANSAC algorithms). …”
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Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

“…Specifically, the strategy begins with initial feature matching using the nearest neighbor ratio (NNR) method, followed by outlier rejection via the Grid-based Motion Statistics (GMS) algorithm. …”
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Assembly Quality Control Technologies in Forced Clamping and Compensation Processes for Large and Integrated Aeronautical Composite Structures by Feiyan Guo, Qiangwei Bao, Jialiang Liu, Xiliang Sha

“…As a result, in practical engineering, the forced method of applying a local clamping force is inevitably adopted to passively reduce and compensate for assembly errors. …”
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Quality Dimensions for Automatic Assessment of Structured Cyber Threat Intelligence Data by Algimantas Venčkauskas, Vacius Jusas, Dominykas Barisas

“…The available CTI data quality assessment methods are either not fully automatic or deliver just a few dimensions. …”
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Assessment of Power Transformer Technical State Using Explainable Artificial Intelligence by Khalyasmaa A.I., Matrenin P.V., Eroshenko S.A.

“…Reducing the accident rate is possible by switching to the mainte-nance and repair of high-voltage equipment based on its actual technical state. Machine learning methods make it possible to assess the actual technical state of various equipment types based on an aggregated analysis of many parameters, in contrast to methods based on comparing pa-rameters with boundary values without considering their mutual influence. …”
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Recent Progress in Simplified Coherent Technology by HU Shan, LI Wei, PAN Yingmei, ZENG Tao, LUO Ming, YU Huang, GUO Hao

“…Then, the principles, specific structures, and implementation methods of each part are specifically introduced, including clock and carrier recovery, optical domain polarization demultiplexing (polarization rotation compensation), and analog adaptive equalization. …”
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RETROGRADE RECANALISATION OF CORONARY CHRONIC TOTAL OCCLUSIONS by A. A. Larionov, D. P. Gaponov, M. G. Gorbunov, D. A. Korzh, T. N. Kudba, S. A. Kuznetsov

“…Thus, retrograde recanalization of chronic total coronary occlusions is an efficient way of treatment in case of careful patients’ selection and it should be added to frequently used antegrade recanalization method. The key factors for development and widespread implementation of this method are integration of x-ray surgical methods of diagnostics and treatment together with visualization methods and fluoroscopy with IVUS.…”
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An architectural framework for information integration using machine learning approaches for smart city security profiling by Adnan Abid, Ansar Abbas, Adel Khelifi, Muhammad Shoaib Farooq, Razi Iqbal, Uzma Farooq

“…The results reveal that both support vector machine and multinomial Naïve Bayes classifiers exhibit almost 90% accuracy. Finally, a generic method for calculating security profile of a city or a region has been developed, which is augmented by visualization and reporting components that maps this information onto maps using geographical information system.…”
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Analysis on the Impact of Data Augmentation on Target Recognition for UAV-Based Transmission Line Inspection by Chunhe Song, Wenxiang Xu, Zhongfeng Wang, Shimao Yu, Peng Zeng, Zhaojie Ju

“…In this paper, taking insulator strings as the target, the impact of a series of widely used data augmentation methods on the accuracy of target recognition is studied, including histogram equalization, Gaussian blur, random translation, scaling, cutout, and rotation. …”
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The role of youth and scouting education in enhancing student character development by Eva Nur Hidayah, Mukhamad Murdiono, Giri Harto Wiratomo, Dwi Hermawan

“…The research utilized a descriptive approach with a qualitative method, conducted at Universitas Negeri Semarang, focusing on outbound learning for PGMK subjects. …”
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Can digital governance promote urban energy conservation and emission reduction? A quasi-natural experiment based on "National Pilot Policy of Information Benefiting the People" in... by Shaohui Zou, Yingying Ji

“…In recent years, the "National Pilot Policy of Information Benefiting the People" has become a key measure for big data to empower government governance, accelerate the improvement of public service levels and equalization of public services. This paper adopts the difference-in-difference method, takes the "National Pilot Policy of Information Benefiting the People" implemented in my country in 2014 as a quasi-natural experiment of digital governance, and explores the effectiveness of government digital governance measures on urban energy conservation and emission reduction and its potential transmission mechanism based on panel data of 283 cities in China from 2006 to 2021. …”
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Viewpoint Selection for 3D Scenes in Map Narratives by Shichuan Liu, Yong Wang, Qing Tang, Yaoyao Han

“…To address this, an automated viewpoint selection method constrained by narrative relevance and visual information is proposed. …”
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