A multimodal travel route recommendation system leveraging visual Transformers and self-attention mechanisms by Zhang Juan, Jing Zhang, Ming Gao

“…However, traditional methods often fail to effectively integrate visual and sequential information, leading to recommendations that are both less accurate and less personalized.MethodsThis paper introduces SelfAM-Vtrans, a novel algorithm that leverages multimodal data—combining visual Transformers, LSTMs, and self-attention mechanisms—to enhance the accuracy and personalization of travel route recommendations. …”
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LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information by Shuwen Wang, Qiming Hu, Xu Zhang, Wei Li, Ying Wang, Enhui Zheng

“…Recent approaches combining deep learning with algorithms for dynamic scenes comprise two types: faster, less accurate object detection-based methods and highly accurate, computationally costly instance segmentation-based methods. …”
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Knowledge mapping of ultrasound technology and triple-negative breast cancer: a visual and bibliometric analysis by Yonglin Wan, Yan Shen, Jun Wang, Tingting Zhang, Xiaohong Fu

“…Abstract Objective This study aims to explore the application of ultrasound technology in triple-negative breast cancer (TNBC) using bibliometric methods. It presents a visual knowledge map to exhibit global research dynamics and elucidates the research directions, hotspots, trends, and frontiers in this field. …”
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EFFECT OF AUDIO-VISUAL HEALTH EDUCATION ON PSYCHOLOGICAL DISTRESS OF PERIOPERATIVE PATIENTS: A SYSTEMATIC REVIEW by Arif Setiawan, Sriyono, Herdina Maryanti

“…Health education improves the patient's adaptation to the anxiety associated with a surgical project. Methods: This study was a systematic review study of 4 databases, namely Web of Science, PubMed, EBSCO Host, and Scopus, with keywords “Audio-Visual" OR "Health Education" AND "Psychological Distress" OR "Perioperative" OR "Surgery. …”
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Relationship Between Physical Activity and Visual Acuity in Japanese Students: A Cross‐Sectional Study by Kensaku Sasayama

“…Our findings suggested that these methods of assessing physical activity may not be suitable proxies for outdoor activity in myopia research.…”
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Video Satellite Staring Control of Ground Targets Based on Visual Velocity Estimation and Uncalibrated Cameras by Caizhi Fan, Chao Song, Zikai Zhong

“…In order to address the shortcomings of traditional calculations of visual speed by time difference methods, this paper proposes a control method based on the estimation of visual velocity, which achieves real-time calculation of the target’s visual speed through adaptive estimation; then, the stability of the closed-loop system is rigorously demonstrated. …”
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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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A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command by Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li

“…In this regard, the visual servoing issue is tactfully transformed into a quadratic programming problem with equality and inequality constraints. …”
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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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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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