A Method Utilizing an Image Visibility Graph to Portray the Arrangement of Genomic Data Sequencing, Gene Frequencies for The Peptidoglycan-Associated Lipoprotein (Pal) Gene in Bruc... by Ali Adel DAWOOD

“…The initial CGR images might not exhibit noticeable differences, but utilizing the FCGR method makes it easier to distinguish these variations. …”
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Excimer Laser Correction of Myopia in Patients with Visually Intense Work — Is It Necessary to Determine the Form of Accommodative Asthenopia? by E. I. Belikova, D. V. Gatilov, I. G. Ovechkin, E. N. Eskina

“…Рurpose — to study the frequency of occurrence of various forms of accommodative asthenopia (AA) in patients with visually stressful work (VSW) with different degrees of myopia planning LASIK.Methods. …”
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Circular Radon Transform Inversion Technique in Synthetic Aperture Ultrasound Imaging: an Ultrasound Phantom Evaluation by Jurij TASINKEVYCH, Ihor TROTS

“…It is also shown that the RMA runs about 30% faster than the SAFT and about 12% faster than the DA method.…”
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Robust controller design with reduced conservatism for calibration-free visual feedback systems and its experimental verification by Kazuyoshi Hatada, Masayuki Sato, Kentaro Hirata

“…A controller for a visual feedback system which allows measurement errors due to large lens distortion is designed by using the proposed method. …”
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Application of 3D point cloud and visual-inertial data fusion in Robot dog autonomous navigation. by Hongliang Zou, Chen Zhou, Haibo Li, Xueyan Wang, Yinmei Wang

“…The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”
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DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model by Chupei Liao, Kuoyi Lin

“…In this study, we introduce DDC-Chat, a novel classification method based on a Visual large Language Model (VLM). …”
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Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System by Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang

“…In this paper, we propose an adaptive ITMO by effectively learning the differences between LDR and HDR images using a sequential learning process: dynamic range learning followed by color difference learning. Our proposed method enables visualization of colors similar to real-world colors better than conventional ITMOs by learning color differences based on the human visual system properties. …”
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ULTRASOUND-GUIDED TRACHEAL INTUBATION by A. Yu. Zaytsev, E. G. Usikyan, K. V. Dubrovin, V. A. Svetlov

“…Ultrasound examinations were done with four positions of the ultrasound sensor: longitudinal (supra-tracheal along the middle line), suprasternal, transcricoid and transthoracic positions.Results. The direct method in the longitudinal position allowed visualizing ETT in 100% of patient (n = 20), while in the other positions of the sensor (but for transthoracic one) it was possible to distinguish ETT only in 80% of cases (n = 16). …”
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FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images by Yu Yan, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang

“…Across the three datasets, our method achieved mean Intersection over Union scores of 73.08%, 87.37%, and 81.54%, respectively. …”
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FIM-JFF: Lightweight and Fine-Grained Visual UAV Localization Algorithms in Complex Urban Electromagnetic Environments by Faming Gong, Junjie Hao, Chengze Du, Hao Wang, Yanpu Zhao, Yi Yu, Xiaofeng Ji

“…However, conventional global positioning system (GPS) methods suffer from signal instability and degraded accuracy in dense urban areas. …”
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Kinematics Model Estimation of 4W Skid-Steering Mobile Robots Using Visual Terrain Classification by Yang Chen, Yao Wu, Wei Zeng, Shaoyi Du

“…To adapt to different terrain environments, the fractal dimension-based SFTA (segmentation-based fractal texture analysis) method was used to extract features of different terrains, and the k-nearest neighbor (KNN) method was used to classify the terrains. …”
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The Study of Short-Term Plastic Visual Perceptual Training Based on Virtual and Augmented Reality Technology in Amblyopia by Fan Tan, Xubo Yang, Yuchen Fan, Yongchuan Liao

“…Conventional treatments for amblyopia have some limitations, then we try to explore a new and effective method to treat amblyopia. This study aimed to determine the potential effect of short-term plastic visual perceptual training based on VR and AR platforms in amblyopic patients. …”
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Enhanced Edge Feature Fusion and Visual State Space for Precise Detection of Switch Tip Close Fitting by Chang Zhengtang, Lan Xiangui, Lai Yihui

“…Switches are critical components in railway transportation, and the detection of close fitting between switch tips is essential for ensuring operational safety. Current methods primarily rely on manual on-site measurements, which are time-consuming and prone to errors. …”
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Representing the Past in Visual Narratives Case Study: The Last Step (Pelleye Akhar) and Le Passé (Gozashte) by Mostafa DashtiAhangar, Arezoo Ashkani

“…It is possible to examine connections between the text and the society via discourse analysis and attending to the details of such texts, which could offer valuable findings to researchers. Among relevant methods in discourse analysis, Laclau and Mouffe’s approach (known as Discourse theory) is an efficient method in analyzing texts in which social references are of importance, since on the one hand, Discourse theory is rooted in Marxism, and on the other hand, it views the phenomena from the perspective of the poststructuralism. …”
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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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