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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Usability Evaluation of Variability Modeling by means of Common Variability Language by Jorge Echeverria, Jaime Font, Oscar Pastor, Carlos Cetina

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Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models by Sevgi Gokce Aslan, Bulent Yilmaz

“…We thoroughly investigated the impact of different preprocessing methods (Independent Component Analysis, Empirical Mode Decomposition, bandpass filtering) and visualization techniques (spectrograms, scalograms) on the classification performance of multichannel EEG signals. …”
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Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features by Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Kyu-Ho Lee, Md Asrakul Haque, Md Razob Ali, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…The peak signal-to-noise ratio (PSNR) and the structural similarity index measure (SSIM) were used to select the clip limit for histogram equalization. The images were analyzed across 18 different color spaces to extract the color features, and six texture features were derived using the gray-level co-occurrence matrix (GLCM) method. …”
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An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma by Zuochao Qi, Hao Yuan, Qingshan Li, Pengyu Chen, Dongxiao Li, Kunlun Chen, Bo Meng, Peigang Ning, Haibo Yu, Deyu Li

“…In the training set, the AUC was 0.905, with an accuracy of 0.823; in the external test set, the AUC was 0.760, with an accuracy of 0.778. Visualization methods provided support for the practical application of the model. …”
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INTRAOPERATIVE DETECTION OF THE SENTINEL LYMPH NODES IN LUNG CANCER by A. L. Akopov, G. V. Papayan, I. V. Chistyakov

“…Advantages and disadvantages of the methods are shown in the article. There are validated the prospects of technical development, study of information value of new applications and the most perspective method of fluorescence indocyanine green visualization by lymph outflow.…”
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Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. …”
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Augmented reality in engineering education: enhancing learning and application by Nasija Suhail, Zied Bahroun, Vian Ahmed

“…While the potential of AR to improve visualization, interaction, and student engagement in engineering education is recognized, its application across various engineering disciplines remains underexplored. …”
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Design and implementation of a vein detection system for improved accuracy in blood sampling by Omar Boutalaka, Achraf Benba, Sara Sandabad

“… Blood sampling is a routine procedure in medical diagnostics, yet precise vein visualization methods remain limited. This project introduces a system designed to improve vein detection during blood collection. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…Nowadays, this analysis is used more and more widely, so the development of hyperspectral image processing methods is an urgent task. This paper presents a hyperspectral image processing pipeline that includes: preprocessing, basic statistical analysis, visualization of a multichannel hyperspectral image, and solving classification and clustering problems using machine learning methods. …”
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The application of non-enhanced magnetic resonance thoracic ductography combined with magnetic resonance abdominopelvic scanning in the diagnosis of chylous leakage of the female r... by Meng Huo, Chunyan Zhang, Ling Li, Jianfeng Xin, Xingpeng Li, Yimeng Zhang, Mingxia Zhang, Ying Sun, Lei Sun, Rengui Wang, Yunlong Yue

“…The display of the drainage directions in the outlet area of the thoracic duct by the two methods showed excellent consistency (kappa value = 0.815) in 12 patients whose outlet areas were visualized by both methods. …”
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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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Research on the visualisation design of children's food packaging information based on cognitive psychology by YU Jing, ZHAN Qinchuan

“…Explore design principles and methods for information visualization in children's food packaging based on children's unique cognitive characteristics, including visual expression for information translation. …”
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Hybrid UM-LT-AHE Technique for Contrast Enhancement of Medical Images by Abolaji Okikiade Ilori, Kamoli Akinwale Amusa, Olumayowa Ayodeji Idowu

“… This paper is concerned with combinations of un-sharp masking, logarithmic transformation, and adaptive histogram equalization techniques to arrive at a hybrid method for enhancement of different types of medical image's contrast. …”
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Processing and analysis of images of microstructure metals for determining the grain point by R. P. Bohush, Y. R. Adamousky, S. F. Denisenak

“…Pre-processing is used to remove noise, sharpen and improve contrast using Adaptive Contrast-Limiting Histogram Equalization (CLAHE). The next step is grain segmentation. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…At the same time, a gradient equalization mechanism is added to the loss function. …”
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The idea of freedom of conscience in the views of liberal legalists in the Russian Empire: from theory to practice. Second half of the XIX – early XX century by D. V. Rybin

“…They assumed that the equalization of rights and Christian preaching would help stabilize the public sphere and build a more just society. …”
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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

“…Special attention was paid to histological image processing methods, neural network algorithms for inflammation staging, and the use of AI for real-time endoscopic visualization. …”
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Abdominal fat distribution in endometrial cancer: from diagnosis to follow-up by Kristine E. Fasmer, Jostein Sæterstøl, Maria B. S. Ljunggren, Astrid M. K. Brun, Johanna M. A. Pijnenborg, Kathrine Woie, Camilla Krakstad, Ingfrid S. Haldorsen

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Comparative Analysis of Irrigation Mist and CO₂ vs. Direct CO₂ Blower in On-Pump Coronary Artery Bypass Grafting Anastomosis: Efficacy, Efficiency, and Fibril... by Ignazio Condello, Giuseppe Speziale, Flavio Fiore, Giuseppe Nasso

“…<i>Background and Objectives:</i> In coronary artery bypass grafting (CABG) on pump, achieving optimal visualization is critical for surgical precision and safety. …”
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