Research on Mobile Internet Data Visualization Technology and Application by Qing Zhang, Caixia Tao, Chong Chen

“…In order to effectively support the accurate analysis and decision making, visualization technology is in urgent need of large data to extracting useful information from the increasingly large data quickly. …”
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Predicting Hit Songs Using Audio and Visual Features by Cheng-Yuan Lee, Yi-Ning Tu

“…In total, 1000 songs were grouped into two categories based on YouTube view counts: popular and non-popular. The visual features were extracted using OpenCV. These features were applied using machine learning algorithms, including random forest, support vector machines, decision trees, K-nearest neural networks, and logistic regression. …”
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Visual Place Recognition Method Based on Attention Mechanism by DAI Tian-hong, YANG Xiao-yun, SONG Jie-qi

“…Aiming at the problem of poor accuracy and robustness of the existing visual place recognition methods when the image appearance changes and the viewing angle changes, a visual place recognition method combined with the attention mechanism is proposed. …”
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Visual Homing Navigation With Haar-Like Features in the Snapshot by Changmin Lee, Daeeun Kim

“…We investigate Haar-like features in vision to extract visual cues, based on the snapshot model. …”
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Emotional Semantic Recognition of Visual Scene in Flash Animation by Shi Lin, Xu Zhenguo, Meng Xiangzeng

“…Based on the organization structure of the Flash animation files, we first use the edge density method to segment the Flash animation to obtain the visual scenes, then extract the visual features such as color and texture as the input parameters of BP neural network, and set up the sample database. …”
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Visual and automatic cyclic alternating pattern (CAP) scoring by Agostinho Rosa, Gabriela Rodrigues Alves, Magneide Brito, Maria Cecília Lopes, Sérgio Tufik

“…The objective of this study is to verify the feasibility of visual CAP scoring with only one channel of EEG, the evaluation of the inter-scorer agreement in a variety of recordings, and the comparison of the visual scorings with a known automatic scoring system. …”
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Fast Visual Tracking With Robustifying Kernelized Correlation Filters by Qianbo Liu, Guoqing Hu, Md Mojahidul Islam

“…Robust visual tracking is a challenging work because the target object suffers appearance variations over time. …”
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Building Damage Visualization Through Three-Dimensional Reconstruction by Ittetsu Kuniyoshi, Sachie Sato, Itsuki Nagaike, Yue Bao

“…The assessed inclination was used to determine the risk level of the wall surfaces, enabling an intuitive and visual evaluation by color-coding the entire wall surface according to the risk level.…”
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Mal-Detect: An intelligent visualization approach for malware detection by Olorunjube James Falana, Adesina Simon Sodiya, Saidat Adebukola Onashoga, Biodun Surajudeen Badmus

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Students’ visual thinking ability in solving the integral problem by Ummu Sholihah, Maryono Maryono, Maryono Maryono

“…While on a global visual level, they could perfectly visualize visual thinking indicators, understand algebra and geometry as alternative languages for problem-solving, extract specific information from diagrams, graph problems, and use them to solve problems perfectly.…”
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Swin‐YOLOX for autonomous and accurate drone visual landing by Rongbin Chen, Ying Xu, Mohamad Sabri bin Sinal, Dongsheng Zhong, Xinru Li, Bo Li, Yadong Guo, Qingjia Luo

“…Firstly, we optimize the backbone network of YOLOX and propose the Swin Transformer based YOLOX (Swin‐YOLOX) UAV landing visual positioning algorithm. Secondly, based on the UAV‐VPD database, a batch of actual acquisition data is added to build the UAV‐VPDV2 database by AI annotation method. …”
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Transferring CLIP for visual grounding in remote sensing images by Linlin Liang, Yizhuo Quan, Chengbo Wang, Yuanfei Chang, Yanyou Qiao

“…Therefore, we propose a CLIP (Contrastive Language-Image Pretraining)-based remote sensing visual grounding framework, RSCLIPVG. RSCLIPVG employs a frozen CLIP model to extract visual and textual features, and we introduce a lightweight visual adapter to adapt visual representations, efficiently transferring the rich multimodal knowledge of CLIP to the RSVG scenario. …”
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Time-series visual representations for sleep stages classification. by Rebeca Padovani Ederli, Didier A Vega-Oliveros, Aurea Soriano-Vargas, Anderson Rocha, Zanoni Dias

“…To address this, we evaluated visual representations of time series data collected from accelerometer and heart rate sensors in smartwatches. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

“…Motivated by a unique concept of a two-branch core architecture, we propose utilizing semantic segmentation to support navigation for visually impaired individuals. The “demarcation path” captures spatial details with wide channels and shallow layers, while the “path with rich features” extracts categorical semantics using deep layers. …”
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Identifying cultural codes of students in order to develop advert messages by S. A. Afonsky

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Malware detection based on visualization of recombined API instruction sequence by Hongyu Yang, Yupei Zhang, Liang Zhang, Xiang Cheng

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Timing data visualization: tactical intent recognition and portable framework by SONG Yafei, LI Lemin, QUAN Wen, NI Peng, WANG Ke

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Timing data visualization: tactical intent recognition and portable framework by SONG Yafei, LI Lemin, QUAN Wen, NI Peng, WANG Ke

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Visual Analysis of Picturesque Urban Landscape Case of Sultanahmet, Istanbul by SAIDU Dalhat Dansadau, Aykut KARAMAN

“…The study achieved these objectives by utilizing methodologies such as geo-tagged photography, sequential photography, social media metadata extraction, GIS mapping, spatial analysis, and visual analysis focusing on the historically rich and culturally significant study area.  …”
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Object identity representation occurs early in the archerfish visual system by Svetlana Volotsky, Ronen Segev

“…These results suggest that early-stage feature extraction and object categorization in archerfish might represent a form of specialized visual processing. …”
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