Comparing the Velocity Spectrum Caused by the Presence of Circular Urban Subway Tunnels With Free-Field Conditions by Hamed Fakhriyeh, Reza Vahdani, Mohsen Gerami

“…By moving away from the image of the tunnel crown on the ground surface, the presence of the tunnel amplifies the SV at more points by 5.5% at long periods. …”
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Evaluation of Surface Slope Irregularity in Linear Parabolic Solar Collectors by F. Francini, D. Fontani, P. Sansoni, L. Mercatelli, D. Jafrancesco, E. Sani

“…Analyzing the reflected image, we can obtain the local slope of the defective surface. …”
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Evaluation of a Telemedicine System for the Transmission of Morpho/Immunological Data Aiming at the Inclusion of Patients in a Therapeutic Trial by Jean-François Lesesve, Richard Garand

“…Due to their high levels of achievement and efficiency, image digitalization and teletransmission tools are more and more frequently used. …”
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Researching on insulator defect recognition based on context cluster CenterNet++ by Bo Meng

“…Abstract The existing UAV inspection images are faced with many challenges for insulator defect recognition. …”
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Enhancing Handwritten Digit Recognition using Auxiliary Classifier Generative Adversarial Networks and Self-attention Mechanism by Hu Tingkai

“…Although progression has been made in the generative Adversarial Networks (GANs) used for image synthesis, it is still tested to attain top-notch, context-accurate photo generation, specifically under various information problems. …”
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Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects by Malak H. Sayour, Sharbel E. Kozhaya, Samer S. Saab

“…The proposed approach employs RGB-D image data acquired from an eye-in-hand camera centering the object of interest in the field of view using visual servoing. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Traditional CNNs handle image segmentation well, but transformers excel at capturing long-range dependencies, essential for machine vision tasks. …”
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Fifa world cup 2018 in Russia: implementation of digital technologies by Yu. V. Sinchuk, V. P. Zhuravel, B. E. Vlasov

“…It has been noted, that the international task of improving the image of the Russian Federation at the present stage, the easing of international tensions in the world was achieved only partially. …”
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Hydrolysis Profiles of Formalin Fixed Paraffin-Embedded Tumors Based on IOD (Integrated Optical Density) and Nuclear Texture Feature Measurements by Margareta Fležar, Marija Us‐Krašovec, Mario žganec, Jaka Lavrenčak, Rastko Golouh

“…The aim of the study was to determine optimal hydrolysis time for the Feulgen DNA staining of archival formalin fixed paraffin‐embedded surgical samples, prepared as single cell suspensions for image cytometric measurements. The nuclear texture features along with the IOD (integrated optical density) of the tumor nuclei were analysed by an automated high resolution image cytometer as a function of duration of hydrolysis treatment (in 5 N HCl at room temperature). …”
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Developing “learning society” as a basic condition for perfect management education in China by M. Yu. Zakharov, A. V. Shishkova

“…Turning to Chinese prognosticism, the authors take the image of the Great Unity society, that is, social justice and equal opportunities for all citizens (“Datong”) as a basis for the future desired image, which throughout centuries of Chinese history show the universal value of education and the high status of a civil servant in such a society. …”
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Disturbances in Body-Based Mental and Motor Imagery in Anorexia and Bulimia Nervosa – A Systematic Review of Experimental Studies by Akansha M. Naraindas, Sarah M. Cooney

“…Mental body representations can be categorized into a perceptual component, known as the body image, and an action-related component, referred to as the body schema. …”
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The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

“…The results show that in image classification experiments, the mean accuracy of the GS-bt module is at least 2.79% higher than that of other models. …”
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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…High-resolution scanning of the specimen surface and scale-invariant image processing were performed, multiple grid lines crossing cracks were established, and brightness degree profiles along grid lines were extracted. …”
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Deep features fusion for user authentication based on human activity by Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger

“…The authors convert the behavioural biometric data (considered as time series) into a 2D colour image. This transformation process keeps all the characteristics of the behavioural signal. …”
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A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty by Yindong Shen, Wenliang Xie, Jingpeng Li

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الصورة الذهنیة لبنک المعرفة المصرى by د. محمد سعید محمد سعید

“…The main findings of the study were that 67.72% Both theemotional side And the knowledge of the mental image of the EgyptianKnowledge Bank.The main recommendations of this study were as follows:1. …”
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Petrochemical Equipment Detection by Improved Yolov5 with Multiscale Deep Feature Fusion and Attention Mechanism by Zhenqiang Wei, Shaohua Dong, Xuchu Wang

“…In complex scenes, the accuracy and speed of petrochemical equipment detection would be limited because of the missing and false detection of equipment with extreme sizes, due to image quality, equipment scale, light, and other factors. …”
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Fast contrast enhancement by adaptive pixel value stretching by Gang Cao, Huawei Tian, Lifang Yu, Xianglin Huang

“…In this article, we propose a fast and effective method for digital image contrast enhancement. The gray-level dynamic range of contrast-distorted images is extended maximally via adaptive pixel value stretching. …”
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Human Motion Gesture Recognition Based on Computer Vision by Rui Ma, Zhendong Zhang, Enqing Chen

“…This method uses a deep convolutional stacked hourglass network to accurately extract the location of key joint points on the image. The generation and identification part of the network is designed to encode the first hierarchy (parent) and the second hierarchy (child) and show the spatial relationship of human body parts. …”
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Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

“…Identification of contrail formation through satellite images has been an ongoing research challenge. Traditional computer vision techniques struggle with varying imagery conditions, and supervised machine learning approaches often require a large amount of hand-labeled images. …”
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