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

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Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation by Reyhaneh Dehghan, Marjan Naderan, Seyed Enayatallah Alavi

“…Since the dataset is limited, after a pre-processing stage, two data augmentation techniques are used. Finally, the Grad-CAM technique is used to obtain visual interpretation from the predictions of the proposed CNN. …”
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Text to Speech Using Finite State Automata on Health Data by Indrianto Indrianto, Abdurrasyid Abdurrasyid, Meilia Nur Indah Susanti, Givari Fairus Ferdiansyah Deu, Arief Ramadhan

“…For this reason, it is necessary to make an application that can read text-based data that is stored into a voice that can be heard by the blind, the method used in this study is Finite State Automata (FSA) which is used to split Indonesian words into words according to its syllable patterns and facilitate the pronunciation process which is included in the blind aids so that it is expected to help the visually impaired to be able to find out their health condition. in this study, the test was carried out using the Confusion Matrix method, while the results obtained were 97% accurate.…”
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Guided Decision Tree: A Tool to Interactively Create Decision Trees Through Visualization of Subsequent LDA Diagrams by Miguel A. Mohedano-Munoz, Laura Raya, Alberto Sanchez

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Architectural design visual information mining system based on image processing technology by Pan Junyu

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Three-dimensional visual technique based on CT lymphography data combined with methylene blue in endoscopic sentinel lymph node biopsy for breast cancer by Baiye Wang, Caifeng Ou, Jingang Yu, Jianping Ye, Yunfeng Luo, Yu Wang, Pusheng Zhang

“…Methods From September 2018 to June 2020, 389 patients who underwent surgical treatment of breast cancer in our department were included in this study. The CT-LG data of these patients were reconstructed into digital 3D models and imported into Smart Vision Works V1.0 to locate the sentinel lymph node (SLN) and for visual simulation surgery. …”
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Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout by Liangkui Luo, Zhaocheng He, Yuhuan Lu, Jinyong Chen

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Innovative Monitoring for Aeronautical Application Through Augmented Reality by Antonio Costantino Marceddu, Alessandro Aimasso, Matteo Bertone, Paolo Maggiore, Matteo Davide Lorenzo Dalla Vedova, Bartolomeo Montrucchio

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Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis by Xuze Wang, Ailixiati Wumaier, Jun Wang, Dejuan Song, Yiting Cai, Jin Han, Wei Han, Zhi Fang

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Research hot topics and frontiers in social anxiety over the past decade: a CiteSpace bibliometric analysis based on Web of Science database from 2013 to 2023 by Peng Zhang, Peng Zhang, Peng Zhang, Mingliang Wang, Lin Ding, Jianing Zhang, Yuqing Yuan, Xin Tian

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Exploring NAS for anomaly detection in superconducting cavities of particle accelerators by Lynda Boukela, Julien Branlard, Annika Eichler, Annika Eichler

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Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

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Rapid plasticity of visually evoked responses in rat monocular visual cortex. by Trevor C Griffen, Melissa S Haley, Alfredo Fontanini, Arianna Maffei

“…Sensory cortical circuits are shaped by experience during sensitive periods in development. In the primary visual cortex (V1) altered visual experience results in changes in visual responsiveness of cortical neurons. …”
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Radical “Visual Capture” Observed in a Patient with Severe Visual Agnosia by Akiko Takaiwa, Hirokazu Yoshimura, Hirofumi Abe, Satoshi Terai

“…We report the case of a 79-year-old female with visual agnosia due to brain infarction in the left posterior cerebral artery. …”
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Endophthalmitis following intravitreal injections at a tertiary center: real-life data on incidence, risk factors, management strategies, and visual outcomes by Sebile Comcali, Yelda Yildiz Tasci, Mehmet Onen, Busra Gulhan, Muzaffer Sahin, Cemal Cavdarli, Omer Mustafa Bilgic, Mucella Arikan Yorgun, Yasin Toklu, Mehmet Numan Alp, Zeliha Yazar

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One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions by Shaobin Cai, Yuchen Wang, Wanchen Cai, Yuchang Mo, Liansuo Wei

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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…We aimed to detect laboratory-induced stress using multimodal data and identify challenges researchers may encounter when conducting a similar study.MethodsWe conducted a preliminary exploration of performance of a machine-learning algorithm trained on multimodal data, namely visual, acoustic, verbal, and physiological features, in its ability to detect stress severity following a partially automated online version of the Trier Social Stress Test. …”
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Multimodal Data-Driven Visual Sensitivity Assessment and Planning Response Strategies for Streetscapes in Historic Districts: A Case Study of Anshandao, Tianjin by Ya-Nan Fang, Aihemaiti Namaiti, Shaoqiang Zhang, Tianjia Feng

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3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

“…Methods In this study, we focused on addressing such challenges by developing an innovative solution to better visualize results produced by AI/ML approaches on integrated clinical and multi-omics data for novel biomarker discovery and predictive analysis. …”
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HoloGaussian Digital Twin: Reconstructing 3D Scenes with Gaussian Splatting for Tabletop Hologram Visualization of Real Environments by Tam Le Phuc Do, Jinwon Choi, Viet Quoc Le, Philippe Gentet, Leehwan Hwang, Seunghyun Lee

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