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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Algorithm for Control of Unmanned Aerial Vehicles in the Process of Visual Tracking of Objects with a Variable Movement’s Trajectory by A. A. Adnastarontsau, D. A. Adnastarontsava, R. V. Fiodortsev, D. V. Katser, A. Y. Liavonau, D. V. Romanov, D. N. Tcherniakovski, A. О. Mikhailau

“…Stability of tracking of observation objects at a distance of up to 10000 m is ensured by the use of a multispectral optoelectronic system including a rangefinder, thermal imaging and two visual channels.Analysis of the object of observation and the method of its support are carried out. …”
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A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients by Min-Wei Huang, Qun-Wei Chang, Wen-Lin Chu

“…The process involves: (1) administering the PANSS test to create a database of schizophrenia patients; (2) developing a visual concentration test system that measures EEG signals in real-time; (3) processing these signals to construct an EEG feature database; (4) employing support vector machine and decision tree methods for illness severity classification; (5) conducting statistical analysis to correlate PANSS scores with EEG features, assessing the effectiveness of these correlations in clinical applications. …”
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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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Visual analysis of multi-subject association patterns in high-dimensional time-varying student performance data by Lianen Ji, Ziyi Wang, Shirong Qiu, Guang Yang, Sufang Zhang

“…To this end, we construct a visual analysis framework, called MAPVis, to support multi-method and multi-level interactive exploration of the association patterns in student performance. …”
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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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Enhancing communication with elderly and stroke patients based on sign-gesture translation via audio-visual avatars by Saleh Kawther Thabt, Karim Abdulamir Abdullah

“…The proposed method integrated YOLOv8, MobileNetV2, and MobileNetV1 based on U-Net to accurately recognize and classify sign gestures. …”
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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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Investigating Reinforcement Shadow Visibility on Formed Concrete Surfaces Using Visual Inspection and Colour Variation Analysis by Ignas Šliogeris, Donatas Rekus, Svajūnas Juočiūnas, Ruben Paul Borg, Mindaugas Daukšys

“…Quantitatively assessing RS and proposing a standardized method for calculation and categorization could be a new research direction in the future.…”
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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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Shared energy storage planning based on the adjustable potential of data center based on visual IOT platform by Lei Su, Wanli Feng, Haoyu Ma, Mingjiang Wei, RuoShi Gu, Ziya Chen, Junda Qin

“…Abstract To address the challenges of low utilization and poor economic efficiency associated with decentralized energy storage configurations in data centers, this study proposes a shared energy storage planning method for data center groups based on the adjustable potential of data center based on visual IOT platform, which leverages differences and complementarities in energy storage requirements under different scenarios to minimize investment costs while maximizing operational benefit. …”
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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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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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Popeye: A Unified Visual-Language Model for Multisource Ship Detection From Remote Sensing Imagery by Wei Zhang, Miaoxin Cai, Tong Zhang, Guoqiang Lei, Yin Zhuang, Xuerui Mao

“…Then, a visual-language alignment method is developed for Popeye to enhance interactive comprehension ability between visual and language content. …”
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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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A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection by Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo, Zheng Tang, Delai Qiu, Chunping Chu

“…Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. …”
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Performance of Visual Inspection, ATP, and Microbial Analysis in Evaluating Cleaning and Sanitizing of Surfaces in an Avocado Packing Plant by J.A. Muñiz-Flores, J.A. Pérez-Montaño, M.A. Pineda-Macias, A. Castillo, O. Rodriguez-García

“…Cleanliness was classified using a four-level visual scale, from 1 (cleanest) to 4 (dirtiest). ATP levels were measured via bioluminescence. …”
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Transformer-based audio-visual multimodal fusion for fine-grained recognition of individual sow nursing behaviour by Yuqing Yang, Chengguo Xu, Wenhao Hou, Alan G. McElligott, Kai Liu, Yueju Xue

“…Multimodal fusion, which integrates audio and visual data, has proven to be an effective approach for improving accuracy and robustness in complex scenarios. …”
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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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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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