Non-specific effects of different sham acupuncture methods and their impact on true acupuncture effectiveness in migraine: a protocol for systematic review and network meta-analysi... by Fan Jiang, Haifeng Zhang, Lun Li, Qinhong Zhang, Meng Lin, Yongjian Liu, Yong Fu, Jiahui Yang, Qilin Liu, Meiyi Zhu, Xiumei Yan

“…The network structure will comprise: acupuncture as a single node (or multiple nodes if heterogeneity warrants), different SA methods as separate nodes, and waiting-list/no-treatment as a single node. …”
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Watermark and Trademark Prompts Boost Video Action Recognition in Visual-Language Models by Longbin Jin, Hyuntaek Jung, Hyo Jin Jon, Eun Yi Kim

“…In this paper, we propose a visual-only prompting method that employs watermark and trademark prompts to bridge the distribution gap of spatial-temporal video data with Visual-Language Models. …”
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Visual exploration of multi-dimensional data via rule-based sample embedding by Tong Zhang, Jie Li, Chao Xu

“…Our research involves two methods for achieving and applying the approach. First, we give a method to learn rule-based embedding for each sample. …”
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Principle of compression images based on discrete wavelet transform by Nikolai Ivanovich Chervyakov, Pavel Alexeyevich Lyakhov, Diana Ivanovna Kalita, Kirill Sergeyevich Shulzhenko

“…An example shows the operation of SPIHT image processing method with an integrated zero-tree algorithm structure. …”
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Wear Prediction and Visual Decision Support of Drop Forged Rivetless Chain for Conveyors by Liu Manxian, Xu Zijia, Shen Xujia, Li Xiaodong, Zhang Zhijun, Yang Yi

“…In order to accurately detect, predict and maintain the wear condition of drop forged rivetless chain for conveyors, the methods of wear prediction and active maintenance are developed based on gray model and visual decision support. …”
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Persistent Localization of Autonomous Underwater Vehicles Using Visual Perception of Artificial Landmarks by Jongdae Jung, Hyun-Taek Choi, Yeongjun Lee

“…We implemented the proposed visual SLAM method using our yShark II AUV and conducted experiments in an engineering basin to validate its effectiveness. …”
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A Practical Guide to Participatory Design Sessions for the Development of Information Visualizations: Tutorial by Adriana Arcia, Samantha Stonbraker, Sabrina Mangal, Maichou Lor

“… AbstractParticipatory design is an increasingly common informatics method to engage intended audiences in the development of health-related resources. …”
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Evaluating Inclusive EFL Instruction for Visually Impaired Students in Beninese Secondary Schools by Coffi Martinien Zounhin Toboula, Azoua Mathias Hounnou, Bidossessi Moïse Videkon

“…Using descriptive statistical analysis and inductive method, the study identified a pressing need for reliable and objective assessment methods and teaching strategies to support visually impaired and sighted students. …”
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Robust robot localization with visually adaptive consensus filters in dynamic corridor environments by Suhyeon Kang, Heoncheol Lee

“…This paper proposes a robust robot localization method with visually adaptive consensus filters (VACF) to solve the problem. …”
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Neural Implicit Monocular Visual SLAM for 3D Reconstruction in Planetary Environments by C. Liu, R. Huang, R. Huang, H. Xie, H. Xie, T. Tao, Y. Feng, Y. Feng, X. Tong, X. Tong

“…The application of SLAM technology in planetary environments has become a research frontier for autonomous rovers. Existing visual SLAM methods often exhibit low accuracy in pose estimation and reconstruction due to poor feature extraction and mismatched correspondences. …”
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Development of a rapid on-site nucleic acid detection method for new genotype muscovy duck parvovirus based on RPA-CRISPR/Cas12a by Qizhang Liang, Wei Chen, Weiwei Wang, Rongchang Liu, Qiuling Fu, Guanghua Fu, Longfei Cheng, Nansong Jiang, Hongmei Chen, Yu Huang

“…By integrating recombinase polymerase amplification (RPA) with CRISPR/Cas12a-mediated lateral flow strip (LFS) visualization, this method achieved isothermal amplification at 37°C within 35 min, eliminating dependency on thermocyclers. …”
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A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

“…Conventional VF forecasting methods require numerous prior tests, while deep learning techniques have shown promising results with fewer tests. …”
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Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…Visual object tracking is a fundamental component in many computer vision applications. …”
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Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles by Guo Ma, Cong Li, Hui Jing, Bing Kuang, Ming Li, Xiang Wang, Guangyu Jia

“…Accuracy and nonlinear processing capabilities are critical to the positioning and navigation of autonomous vehicles in visual–inertial odometry (VIO). Existing filtering-based VIO methods struggle to deal with strongly nonlinear systems and often exhibit low precision. …”
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Visual information guided multi-modal model for plant disease anomaly detection by Jiuqing Dong, Yifan Yao, Alvaro Fuentes, Yongchae Jeong, Sook Yoon, Dong Sun Park

“…Extensive experimental results demonstrate that our method significantly improves the current baseline methods by incorporating visual information. …”
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Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning by Gu Geng, Sida Zhou, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan

“…With the widespread use of sensors in applications such as autonomous driving and intelligent security, stable and efficient target tracking from diverse sensor data has become increasingly important. Self-supervised visual tracking has attracted increasing attention due to its potential to eliminate reliance on costly manual annotations; however, existing methods often train on incomplete object representations, resulting in inaccurate localization during inference. …”
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Visual Analysis of Multimodal Movie Network Data Based on the Double-Layered View by Ying Tang, Jia Yu, Chen Li, Jing Fan

“…Multimodal visualization of network data is a method considering various types of nodes and visualizing them based on their types, or modes. …”
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TWO-STAGE INTELLIGENT FAULT DIAGNOSIS OF MOTORS BASED ON VISUAL IMAGE FEATURES

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Comparison of Environmental DNA Metabarcoding and Underwater Visual Census for Assessing Macrobenthic Diversity by Zifeng Zhan, Weiwei Huo, Shangwei Xie, Wandong Chen, Xinming Liu, Kuidong Xu, Yanli Lei

“…In contrast, traditional UVC was crucial for identifying certain taxa, such as Bryozoa, which were undetectable by eDNA methods. The low overlap in species detected by these methods underscores their complementary nature, highlighting the necessity of integrating multiple approaches to achieve a more comprehensive and accurate biodiversity assessment. …”
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Research on step-by-step visual servo control system of anchor drilling robot by Mengyu LEI, Xuhui ZHANG, Wenjuan YANG, Jicheng WAN, Yuyang DU, Henghan YU, Chenhui TIAN

“…To address the challenges of low automation levels and poor support efficiency in existing roadway support systems, this study has developed an anchor drilling robot integrating a boom-type roadheader with a multi-degree-of-freedom manipulator, proposing a step-by-step visual servo-based control methodology. Firstly, a binocular vision-based spatial positioning method for drilling holes was established utilizing triangulation principles to achieve precise hole localization. …”
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