Probiotic effects on skin health: comprehensive visual analysis and perspectives by Kexin Deng, Kexin Deng, Xiaofei Fan, Zhigen Yuan, Dian Li

“…Employing a double-blind method, two subsets of literature were scrutinized and subsequently combined for analysis. …”
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Esensi Interaksi Visual dalam Dunia Facebook yang Virtual by Noval Sufriyanto Talani

“…This study used a subjective approach with a qualitative research method through the analysis of the phenomenology and symbolic interaction. …”
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Efficiency of Visually-Guided Discovery-Learning System for High School by Huynh Cam Ngoc Thi, Nguyen Hong, Vinh Tran Phuoc

“…The paper studies the characteristics of visualization to apply for the lecture of visually-guided discovery-learning system. …”
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A Combination of SHA-256 and DES for Visual Data Protection by Aristides Bima Wintaka, Christy Atika Sari, Eko Hari Rachmawanto, Rabei Raad Ali

“…This study employs SHA-256 and DES algorithms to safeguard visual data through encryption and decryption processes. …”
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RANSAC based robust localization algorithm for visual sensor network by Bo ZHANG, Hai-yong LUO, Ji-wei LIU, Fang ZHAO

“…Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and improve the positioning accuracy.Furthermore,to address this issue,energy imbalance of network nodes in centralized RANSAC where all computing load is executed in one single node,a robust localization algorithm based on distributed RANSAC was also proposed,which can distribute a large number of iterative calculations into each node averagely to ensure the network balance on calculation and energy without affecting the robustness.Finally,through comparing experiments on no-RANSAC,cen-RANSAC and dis-RANSAC,it’s verified that this algorithm can obtain robust and good positioning results in a predetermined probability,and the time complexity was analyzed via experiment.…”
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Visual Object Tracking with Online Updating for Car Sharing Services by Zhou Zhu, Haifeng Zhao, Fang Hui, Yan Zhang

“…In this paper, we address the problem of online updating of visual object tracker for car sharing services. The key idea is to adjust the updating rate adaptively according to the tracking performance of the current frame. …”
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The Use of Audio-Visual Assisted Google Classroom for Mathematics Course by I M Dedy Setiawan, I D G Ari Oka

“…The research method used was a quasi-experimental with a non-equivalent control group design. …”
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Symbolic Narratives in Graphic Design: Semiotic Perspectives on Advertising Visuals by Ayça Yılmaz, Bilal Kır

“…Employing the semiotic analysis method, the study reveals that advertising visuals are not merely aesthetic tools but also carriers of ideological and social meanings. …”
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Using visual metaphors in advertising campaigns to promote sustainable tourism by Noha Ahmed Kamel

“…Visual metaphors are utilised in advertising campaigns to convey knowledge more imaginatively without sacrificing context. …”
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A snapshot of relativistic motion: visualizing the Terrell-Penrose effect by Dominik Hornof, Victoria Helm, Enar de Dios Rodriguez, Thomas Juffmann, Philipp Haslinger, Peter Schattschneider

“…Using ps-laser pulses and ultra-fast photography with gating times as short as 300 ps, we achieve a virtual reduction of the speed of light to less than 2 m/s, enabling the visualization of relativistically moving objects in real time. …”
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Web-Based Assessment of Visual and Visuospatial Symptoms in Parkinson’s Disease by Melissa M. Amick, Ivy N. Miller, Sandy Neargarder, Alice Cronin-Golomb

“…The findings indicate that web-based administration may be a reliable and valid method of assessing visual and visuospatial and ADL functioning in PD.…”
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Orthogonality Index Based Optimal Feature Selection for Visual Odometry by Huu Hung Nguyen, Sukhan Lee

“…In this paper, we show that features can be selected optimally, rather than randomly, using a well-defined mathematical formalism. The proposed method of optimal feature selection minimizes the degree of uncertainty in estimating the essential, fundamental, or homography matrix involved in visual odometry by maximizing the orthogonality index of individual equations and constraints associated with computation. …”
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Deep Learning Based Visual Servo for Autonomous Aircraft Refueling by Natthaphop Phatthamolrat, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

“…ABSTRACT This study develops and evaluates a deep learning based visual servoing (DLBVS) control system for guiding industrial robots during aircraft refueling, aiming to enhance operational efficiency and precision. …”
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Visualizing and Understanding Guangzhou City, an Historic City in Rapid Transformation by Xiaoli Wei, Zhuangzhuang Wu, Yao Cheng, Jing Yan, Ning Wang

“…By taking concrete sites and focusing on a relatively short period, the article aims to structure a research method and imagine new forms and uses of the city representation. …”
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Painting with learning stations: effect on creativity in visual arts class by Enise Tekin, Şeyda Eraslan Taşpınar

“…As a result, the use of the Learning Stations technique in visual arts classes has elevated students’ creativity levels. …”
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YOLO-OD: Obstacle Detection for Visually Impaired Navigation Assistance by Wei Wang, Bin Jing, Xiaoru Yu, Yan Sun, Liping Yang, Chunliang Wang

“…To address this issue, we propose an obstacle detection method for visual navigation assistance, named YOLO-OD. …”
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Metric‐based pill recognition with the help of textual and visual cues by Richárd Rádli, Zsolt Vörösházi, László Czúni

“…The proposed high‐level feature injection method (into a low‐level metric learning model) can also be exploited in other cases, where class features can be well described with textual or visual cues.…”
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Adaptive Conditional Reasoning for Remote Sensing Visual Question Answering by Yiqun Gao, Zongwen Bai, Meili Zhou, Bolin Jia, Peiqi Gao, Rui Zhu

“…Remote Sensing Visual Question Answering (RS-VQA) is a research task that combines remote sensing image processing and natural language understanding. …”
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Visualization of spin-polarized electronic states by imaging-type spin-resolved photoemission microscopy by Koichiro Yaji, Shunsuke Tsuda

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Applying SSVEP BCI on Dynamic Background by Junkai Li, Boxun Fu, Fu Li, Wenkai Gu, Youshuo Ji, Yang Li, Tiejun Liu, Guangming Shi

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