A Robust Rotation-Equivariant Feature Extraction Framework for Ground Texture-Based Visual Localization by Yuezhen Cai, Linyuan Xia, Ting On Chan, Junxia Li, Qianxia Li

“…The experimental results for ground texture localization show that GT-REKD achieves 96.14% matching in pure rotation tests, 94.08% in incremental localization, and relocalization errors of 5.55° and 4.41 px (≈0.1 cm), consistently outperforming baseline methods under extreme rotations and sparse textures, highlighting its applicability to visual localization and simultaneous localization and mapping (SLAM) tasks.…”
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Visualizing Empathy in Patient-Practitioner Interactions Using Eye-Tracking Technology: Proof-of-Concept Study by Yuyi Park, Hyungsin ­Kim, Hakkyun Kim

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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Accurate evaluation of fish feeding intensity is crucial for optimizing aquaculture efficiency and the healthy growth of fish. Previous methods mainly rely on single-modal approaches (e.g., audio or visual). …”
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Comparison of cervical cancer screening by visual inspection with acetic acid versus cervical-cytology in pregnancy by Saritha Shamsunder, Deepika Pannu, Geetika Khanna, Ananya Banerjee, Vijay Zutshi, Sunita Malik

“…Aims: The aim of this study was to compare visual inspection with acetic acid (VIA) with cervical cytology for cervical cancer screening in pregnant women. …”
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Adaptive and Asymmetrical Blending for Bi-Directional Inter Prediction of Various Visual Contents in Video Coding by Minhun Lee, Donggyu Sim

“…This study presents a comprehensive approach using adaptive and asymmetrical blending for the GPM (AAGPM) to enhance the performance of the blending technique by introducing two novel blending methods: a difference-based adaptive blending method and an implicitly asymmetrical blending mechanism. …”
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Global research status and frontiers on ferroptosis in hepatocellular carcinoma: a comprehensive bibliometric and visualized analysis by Jiayu Zhu, Shengping Luo, Fei Yu, Kewei Sun

“…ObjectiveThe purpose of this study was to analyze the research hotspots and future trends in the field of ferroptosis in hepatocellular carcinoma in the past 10 years by using bibliometrics and visualization software, and to provide reference for future research directions in this field.MethodsThe Web of Science database was searched from January 1, 2012, to October 30, 2024, and the annual publication volume, countries, institutions, journals, authors, references, keywords, and other information in this field were analyzed by bibliometrics, VOSviewer, and CiteSpace.ResultsA total of 645 English articles from 729 institutions in 32 countries were included in this study, with 4545 authors published in 261 journals. …”
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Research on transcranial magnetic stimulation for stroke rehabilitation: a visual analysis based on CiteSpace by Xiang Ji, Jing Zhang, Di Chen, Qing Qin, Fubiao Huang

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Unmasking AI-created visual content: a review of generated images and deepfake detection technologies by Yupeng Zhang, Zongwei Pang, Shanyuan Huang, Chengyou Wang, Xiao Zhou

“…Therefore, detecting AI-created visual content has become a significant research topic in the field of multimedia information security. …”
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Global research on cognitive function for Schizophrenia from 2014 to 2024: a bibliometric and visual analysis by Yansha Gan, Chunyu Dong, Jiaojiao Sun, Danting Yang, Jiajun Yin, Zhenhe Zhou

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Motion Cognitive Decoding of Cross-Subject Motor Imagery Guided on Different Visual Stimulus Materials by Tian-jian Luo, Jing Li, Rui Li, Xiang Zhang, Shen-rui Wu, Hua Peng

“…To compare subject-specific variations of different visual stimuli, a novel cross-subject MI-EEG classification method was proposed for the three visual stimuli. …”
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Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. by Leland S Hu, Shuluo Ning, Jennifer M Eschbacher, Nathan Gaw, Amylou C Dueck, Kris A Smith, Peter Nakaji, Jonathan Plasencia, Sara Ranjbar, Stephen J Price, Nhan Tran, Joseph Loftus, Robert Jenkins, Brian P O'Neill, William Elmquist, Leslie C Baxter, Fei Gao, David Frakes, John P Karis, Christine Zwart, Kristin R Swanson, Jann Sarkaria, Teresa Wu, J Ross Mitchell, Jing Li

“…In a training set, we used three texture analysis algorithms and three ML methods to identify MRI-texture features that optimized model accuracy to distinguish tumor content. …”
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Collider-based movement detection and control of wearable soft robots for visually augmenting dance performance by Patrick Twomey, Vaibhavsingh Varma, Leslie L. Bush, Mitja Trkov

“…The fusion of wearable soft robotic actuators and motion-tracking sensors can enhance dance performance, amplifying its visual language and communicative potential. However, the intricate and unpredictable nature of improvisational dance poses unique challenges for existing motion-tracking methods, underscoring the need for more adaptable solutions. …”
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Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024 by Huan Liu, Qing Huo, Qing Huo, Qing Huo, Feng Li, Xu Luo, Renli Deng

“…However, there is currently no bibliometrics to evaluate the scientific advances in this field.ObjectiveThis study aims to visually analyze the current research trends regarding the application of machine learning in the field of MCI through bibliometry and visualization techniques.MethodsUsing the Web of Science Core Collection database (Wo SCC), relevant articles and reviews of the collection database 2015–2024. …”
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Testing factors influencing handgrip strength and reaction time to visual stimulus in selected martial arts by Dariusz Bajkowski, Wojciech J. Cynarski

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A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient by Keli HU, En FAN, Jun YE, Shigen SHEN, Yuzhang GU

“…The weight of the truth,indeterminacy,and falsity membership under the neutrosophic framework may be different when dealing with different problems.Due to this,a component weighted cosine similarity coefficient was proposed,and it was introduced into the mean shift tracking algorithm.Firstly,the corresponding methods for calculating the membership of the truth,indeterminacy,and falsity were proposed based on the theory of 3σ,as well as the similarity between the features of the corresponding area of the object and background.Then the weighted cosine similarity coefficient was used to construct the weight vector.In addition,a weighted cosine similarity coefficient based scale updating method was proposed.The experimental results demonstrate that the modified visual tracking algorithm performs well,even when there exists challenges like similar background,illumination or scale variation.…”
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Multi-modal connectivity of the brain underlying visual hallucinations evoked by high-frequency intracranial stimulations by Felicia Mihai, Laurentiu Tofan, Andrei Barborica, Irina Oane, Ana-Maria Zagrean, Camelia Lentoiu, Cristina Ghita, Ioana Mindruta

“…HFA method shows the highest magnitude of evoked responses in the primary visual cortex and lingual gyrus. …”
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Visually Impaired People Learning Virtual Textures Through Multimodal Feedback Combining Vibrotactile and Voice by Dapeng Chen, Yi Ding, Hao Wu, Qi Jia, Hong Zeng, Lina Wei, Chengcheng Hua, Jia Liu, Aiguo Song

“…However, due to impaired vision, the blind or visually impaired (BVI) is still unable to effectively perceive and learn virtual textures through these methods. …”
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Advances in Periodontal Diagnostics: Application of MultiModal Language Models in Visual Interpretation of Panoramic Radiographs by Albert Camlet, Aida Kusiak, Agata Ossowska, Dariusz Świetlik

“…Panoramic radiographs are cost-effective methods widely used in periodontitis classification. …”
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Geographical Analysis of Pollution Types (Noise, Visual, Solid waste) in the Commercial Center of Soran City by Rizgar M. U. Hanaraye, Kamaran W. Mahmood, Shwan A. Ali

“…The study aims to determine the types of pollution such as noise, visual and solid waste in the commercial center of the city of Soran. …”
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Creating a Participatory Planning Approach Based on Swedish Visual Preferences for Building and Urban Design by Karim Najar, Ola Nylander, William Woxnerud

“…Utilizing the photoelicitation technique, we conducted a visual preference survey with an average of 457 participants in Sweden to assess the physical and urban features of local development projects. …”
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