Deep Learning-Enabled Visual Inspection of Gap Spacing in High-Precision Equipment: A Comparative Study by Xiuling Li, Fusheng Li, Huan Yang, Peng Wang

“…However, traditional methods, such as manual inspection using feeler gauges, are time-consuming, labor-intensive, and prone to human error. …”
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DyGS-SLAM: Realistic Map Reconstruction in Dynamic Scenes Based on Double-Constrained Visual SLAM by Fan Zhu, Yifan Zhao, Ziyu Chen, Chunmao Jiang, Hui Zhu, Xiaoxi Hu

“…Visual SLAM is widely applied in robotics and remote sensing. …”
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RE-YOLOv5: Enhancing Occluded Road Object Detection via Visual Receptive Field Improvements by Tianyu Li, Xuanrui Xiong, Yuan Zhang, Xiaolin Fan, Yushu Zhang, Haihong Huang, Dan Hu, Mengting He, Zhanjun Liu

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Contextual Nonlinear Typological Analysis as a Tool for the Formation and Implementation of Regional Economic Policy by V. A. Kurzenev, V. T. Perekrest

“…It is based on contextual typological analysis using economic and mathematical modeling, where the key role is played by the hybrid principal component method and scaling technology. Official statistics data are used as information and analytical support. …”
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UAVs-Based Visual Localization via Attention-Driven Image Registration Across Varying Texture Levels by Yan Ren, Guohai Dong, Tianbo Zhang, Meng Zhang, Xinyu Chen, Mingliang Xue

“…Initially, an improved Oriented FAST and Rotated BRIEF (ORB) algorithm incorporating a quadtree-based feature point homogenization method is designed to extract image feature points, providing support for the initial motion estimation of UAVs. …”
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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

“…This paper proposes a novel hierarchical feature attention learning network for improved fine-grained visual classification (FGVC). Existing fine-grained classification methods rely heavily on attention mechanisms to differentiate minute details of similar objects. …”
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SAVL: Scene-Adaptive UAV Visual Localization Using Sparse Feature Extraction and Incremental Descriptor Mapping by Ganchao Liu, Zhengxi Li, Qiang Gao, Yuan Yuan

“…Finally, due to the lack of annotated public datasets, a scene-rich UAV dataset (RealUAV) was constructed to study UAV visual localization in real-world environments. In order to evaluate the localization performance of the proposed framework, several related methods were compared and analyzed in detail. …”
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Long-Term Evaluation of Visual Outcomes and Patient Satisfaction after Binocular Implantation of a Bioanalogic Lens by Sylwia Wagner, Grzegorz Wagner, Ewa Mrukwa-Kominek

“…Design. retrospective, nonrandomized noncomparative case series. Methods. 50 eyes of 25 patients, including 11 women (44%) and 14 men (56%). …”
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Visual Functions in Children in Remote Postoperative Period after Laser Treatment of Threshold Stages of Retinopathy of Prematurity by M. V. Pshenichnov, O. V. Kolenko, V. V. Egorov, E. L. Sorokin

“…Purpose. Analysis of visual functions in children in remote postoperative period after laser coagulation (LC) of threshold stages of retinopathy of prematurity (ROP).Patients and methods. …”
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Visualizing lone pairs and quantifying their bonding in solids with tight-binding Wannier models from first principles by Emily G Ward, Alexandru B Georgescu

“…Lone pairs critically influence material properties, from local structure to bonding interactions, yet their direct visualization in solids has remained elusive. We address this gap with a method using Wannier functions and Hamiltonian rotation. …”
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Visualizing the internalization and biological impact of nanoplastics in live intestinal organoids by Fluorescence Lifetime Imaging Microscopy (FLIM) by Irina A. Okkelman, Hang Zhou, Sergey M. Borisov, Angela C. Debruyne, Austin E. Y. T. Lefebvre, Marcelo Leomil Zoccoler, Linglong Chen, Bert Devriendt, Ruslan I. Dmitriev

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Application of Audio-Visual Learning Media in Increasing Islamic Boarding School Students’ Tajweed Learning Outcomes by Abdul Hamid, Muhammad Khairuddin Lim Abdullah, Sitti Jamilah Amin, Abdul Halik, Ahdar Ahdar

“…The experimental class was given treatment using audio-visual media, while the control class continued to use the textbook-based lecturing method. …”
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MSF-SLAM: Enhancing Dynamic Visual SLAM with Multi-Scale Feature Integration and Dynamic Object Filtering by Yongjia Duan, Jing Luo, Xiong Zhou

“…By leveraging the Lucas-Kanade (LK) optical flow method, DOFF effectively distinguishes and removes dynamic feature points while preserving the integrity of static features. …”
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Visual Route Recognition in Urban Spaces: A Scalable Approach Using Open Street View Data by Menglin Wu, Qingren Jia, Anran Yang, Zhinong Zhong, Mengyu Ma, Luo Chen, Ning Jing

“…This article presents a novel pipeline for visual route recognition (VRR) in large-scale urban environments, leveraging open street view data. …”
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基于Visual Basic的V型带传动计算机辅助设计 by 徐支凤

“…To enhance efficiency and reliability of V-belt drive design,with analysis of the characteristics of chart data in the traditional design,a practical reliability model and a procedure method of the data,tables and charts in the design of V-belt are proposed.The programming of computer aided design based on Visual Basic is realized.The result shows that this program will simplify the process of design and has some application value.…”
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Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys by Jenna L. Cragg, Alan E. Burger, John F. Piatt

“…In addition to standard audio‐visual and radar methods, we tested—for the first time with murrelets in Alaska—the application of autonomous acoustic recorders for monitoring vocal activity. …”
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Screening and Grading of Textural Interface Opacities in DSAEK Grafts with the M-TIO Scale for Predicting Visual Outcomes by Marina S. Chatzea, George D. Kymionis, Dionysios G. Vakalopoulos, Robert C. O’Brien, Daniella Mora, Katrina Llanes, Elizabeth Fout, William Buras, Concetta Triglia, Rahul S. Tonk, Sonia H. Yoo

“…These findings highlight the clinical utility of the M-TIO scale as an objective and reliable preoperative tool for assessing graft quality and predicting postoperative visual outcomes. <b>Conclusions</b>: This study introduces the “M-TIO” grading scale, which provides a standardized and objective method for evaluating Textural Interface Opacities in DSAEK grafts prior to transplantation. …”
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Two-Dimensional Reconstructed Image of a Subsurface Structure Using Continuous Scanned Photothermal Imaging by Moojoong Kim, Hyunjung Kim

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NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection by Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen

“…Additionally, these methods often fail to effectively integrate multimodal inputs, which restricts their adaptability and generalization capabilities when facing complex and diverse scenarios.MethodsTo address these challenges, we introduce NavBLIP, a novel visual-language model specifically designed to enhance UAV navigation and object detection by utilizing multimodal data. …”
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The Implementation of Mamdani Fuzzy Logic Control on a Hexapod Robot as a Guide for Visually Impaired People by Mohamad Agung Prawira Negara, Fikri Mulyadi, Ali Rizal Chaidir, Khairul Anam

“…The constraints faced by visually impaired individuals have spurred various human-created innovations to aid them. …”
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