Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…This study explores the use of tinyML to provide healthcare support with low-spec devices in low-connectivity environments, focusing on the diagnosis of skin diseases and the ethical use of AI assistants in a healthcare setting. …”
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Comparative Study of Visual Aesthetics of Urban Space in Golestan and Moradab Neighborhoods of Karaj by habib fasihi, mina heydari

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Visualizing sound emission of elephant vocalizations: evidence for two rumble production types. by Angela S Stoeger, Gunnar Heilmann, Matthias Zeppelzauer, André Ganswindt, Sean Hensman, Benjamin D Charlton

“…While the elephant trunk is strongly implicated to account for the low formants of elephant rumbles, it is unknown whether elephants emit these vocalizations exclusively through the trunk, or whether the mouth is also involved in rumble production. …”
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Behavioural and neural effects of eccentricity and visual field during covert visuospatial attention by Tianlu Wang, Lena M. Hofbauer, Dante Mantini, Céline R. Gillebert

“…In the current study, we examined the role of the IPS during covert attention to spatial locations with high or low eccentricity in one or both visual hemifields. …”
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Visual Perception during Mirror-Gazing at One’s Own Face in Patients with Depression by Giovanni B. Caputo, Marco Bortolomasi, Roberta Ferrucci, Mario Giacopuzzi, Alberto Priori, Stefano Zago

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MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

“…Visual target tracking is a fundamental task in computer vision. …”
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Visual Impairment among Primary School Children in Gondar Town, Northwest Ethiopia by Ayanaw Tsega Ferede, Destaye Shiferaw Alemu, Alemayehu Desalegn Gudeta, Haile Woretaw Alemu, Mulusew Asferaw Melese

“…Limited evidence on the magnitude and causes of visual impairment is one of the reasons for the low priority given to eye care in low-income countries. …”
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Knowledge Mapping and Global Trends in Simulation in Medical Education: Bibliometric and Visual Analysis by Hongjun Ba, Lili Zhang, Xiufang He, Shujuan Li

“…However, collaboration density was low, and the collaboration network was relatively dispersed. …”
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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…The application uses MobileNet architecture due to its low computational complexity to run on low-power end devices. …”
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Enhancing visual perception by modulating prestimulus alpha and beta power with tRNS by Jinwen Wei, Huiru Zou, Qianyuan Tang, Ziqing Yao, Gan Huang, Zhen Liang, Li Zhang, Lijie Ren, Xiaodong Cai, Chen Yao, Changsong Zhou, Zhiguo Zhang

“…Mental fatigue was modelled as a state-dependent factor. tRNS, primarily under low fatigue, increased online oxyhemoglobin (HbO) amplitude, suppressed offline prestimulus alpha and beta power, and reduced offline visual contrast threshold (VCT), indicating enhanced perception. …”
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Visual Outcome and Prognostic Factors of Optic Neuritis: A Perspective from the East by Digvijay Singh, Rohit Saxena

“…The risk of conversion to multiple sclerosis is low and values ranging from 0-5% have been reported in various studies. …”
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On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks by Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis

“…These approaches are explored in the context of four semisupervised learning techniques, i.e., graph-based approaches (harmonic functions and anchor graph), low-density separation, and smoothness-based multiple regressors, and evaluated in two real-world challenging computer vision applications: image-based concrete defect recognition on tunnel surfaces and video-based activity recognition for industrial workflow monitoring.…”
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Visual perception of wind hazards using cycloidal scanning LiDAR system by Gunzung Kim, Jeongsook Eom, Yongwan Park

“…Its lightweight design and low power consumption make it well-suited for UAM applications, providing continual visual updates on wind conditions along the flight path. …”
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A Navigation System for the Visually Impaired: A Fusion of Vision and Depth Sensor by Nadia Kanwal, Erkan Bostanci, Keith Currie, Adrian F. Clark

“…For a number of years, scientists have been trying to develop aids that can make visually impaired people more independent and aware of their surroundings. …”
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Frightening Complex Visual Hallucinations in an Elderly Patient with Ophthalmological Pathology and Vascular Dementia by Francesca Hill, Matthew Spurr, Joseph Stratford

“…Her management involved low dose olanzapine and requesting that her ophthalmological surgery be expedited. …”
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Autonomous Landing Guidance for Quad-UAVs Based on Visual Image and Altitude Estimation by Lingxia Mu, Shaowei Cao, Youmin Zhang, Xielong Zhang, Nan Feng, Yuan Zhang

“…A double-layered nested marker is designed to ensure that the marker can be captured both in high and low altitudes. A deep learning-based marker detection method is designed where the intersection of union is replaced by the normalized Wasserstein distance in the computation of non-maximum suppression to improve the detection accuracy. …”
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Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals by Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyun-Woo Shin, Hyung-Sin Kim

“…Furthermore, SleepXViT offers well-calibrated confidence scores, enabling expert review for low-confidence predictions, alongside high-resolution heatmaps highlighting essential features and relevance scores for adjacent epochs’ influence on sleep stage predictions. …”
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Contrast and luminance dependence of target choice and visual orientation in walking stick insects by Merit Meschenmoser, Volker Dürr

“…Abstract When presented with static images, animals show robust preferences for particular visual features, and reliably turn towards and approach selected visual landmarks. …”
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Analysis of Students’ Role Perceptions and their Tendencies in Classroom Education Based on Visual Inspection by Lanlan Jiang

“…This paper presents an in-depth study and analysis of students’ role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. …”
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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…As the traditional monitoring method based on sparse description model to realize abnormal behavior of stage performance did not realize the manifold structure during the performance, the behavior characteristics are sparse, and the decomposition has higher volatility, the recognition accuracy of abnormal behavior is low. Therefore, an abnormal monitoring method of stage performance based on visual sensor network is proposed, the overall structure of the abnormal monitoring system of stage performance based on the vision sensor network is analyzed, the hardware structure and software composition of the system are designed, and the method of monitoring the abnormal behavior of the system is analyzed emphatically. …”
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