Showing 21 - 40 results of 938 for search 'virtual detection', query time: 0.13s Refine Results
  1. 21

    Enhanced diplopia detection and binocular single vision assessment through virtual reality: A comprehensive study by Bo Yu, Yu-Hao Li, Yu-Lin Li, Mu-Yang Wei, Guang-Yu Li

    Published 2025-03-01
    “…The VR-BSVT developed in this study achieves rapid, accurate, and stable detection and assessment of clinical diplopia, and utilizes virtual reality technology to detect diplopia over a larger visual space. …”
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  2. 22

    VirtualFilter: A High-Performance Multimodal 3D Object Detection Method with Semantic Filtering by Mingcheng Qu, Ganlin Deng

    Published 2024-12-01
    “…In this study, we proposed a novel multimodal 3D object detection method named VirtualFilter, which uses 3D point clouds and 2D images as inputs. …”
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    Violations of Vietnamese laws related to the online marketing of breastmilk substitutes: Detections using a virtual violations detector by Kathryn Backholer, Linh Nguyen, Duong Vu, Constance Ching, Phil Baker, Roger Mathisen

    Published 2025-01-01
    “…Using a cross‐sectional study design, we used an artificial intelligence‐enabled virtual violations detector (VIVID) to monitor official websites and social media pages of 25 breastmilk substitute (BMS) merchandise and distributors, every day for 12 months in 2022. …”
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    An artificial intelligence algorithm for the detection of pulmonary ground-glass nodules on spectral detector CT: performance on virtual monochromatic images by Zhong-Yan Ma, Hai-lin Zhang, Fa-jin Lv, Wei Zhao, Dan Han, Li-chang Lei, Qin Song, Wei-wei Jing, Hui Duan, Shao-Lei Kang

    Published 2024-10-01
    “…Abstract Background This study aims to assess the performance of an established an AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPIs) to detect pulmonary ground-glass nodules (GGNs) on virtual monochromatic images (VMIs), and to screen the optimal virtual monochromatic energy for the clinical evaluation of GGNs. …”
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  11. 31

    Development and Assessment of a Soft Wearable for sEMG-Based Hand Grip Detection and Control of a Virtual Environment by Lohith Chatragadda, Aiden Fletcher, Sam Zhong, Fabian A. Vargas, Nishtha Bhagat, Kunal Mankodiya, Matthew J. Delmonico, Dhaval Solanki

    Published 2025-04-01
    “…Conclusion: The results of this study demonstrate that our VRGrip system could be used for hand grip detection in a virtual environment. In the future, we aim to conduct longitudinal studies to determine if repeated use of the system has merit for grip rehabilitation.…”
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    A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines by A. Alfred Raja Melvin, Jaspher W. Kathrine, Andrew Jeyabose, D. Cenitta

    Published 2025-03-01
    “…Therefore, security solutions deployed outside the virtual machine are necessary. This research proposes deploying an Intrusion Detection System (IDS) at the Hypervisor layer, utilizing time series system call data and employing a Convolutional Neural Network (CNN) model to accurately detect the presence of malicious (malware) computer programs within virtual machines. …”
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    A Detection Method for Virtual Threshold of Busbar Voltage in Distribution Network with Distributed Wind Turbines under Reactive-Power Disturbance by TANG Jianping, QU Sheng, LI Yangtao, PANG Jiameng

    Published 2025-02-01
    “…To enable real-time detection of busbar voltage in distribution networks with distributed wind turbines, offering a reference for the power control of these wind turbines, this paper presents a method of detecting virtual thresholds for voltage in these distribution networks based on periodic reactive-power disturbances. …”
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    Modern technologies in early detection and differential diagnostics of gastric cancer by A. F. Chernousov, V. V. Levkin, A. V. Egorov, S. S. Kharnas, T. V. Khorobrykh, N. V. Gagarina, N. S. Gorovaya, V. Ya. Zavodnov, V. B. Loshchenov, N. L. Okhotnikova, E. Yu. Patoka, S. K. Ternovoy, E. V. Fominykh, O. V. Ogneva

    Published 2013-06-01
    “…We also estimate the diagnostic performance of the multidetector computed tomography in the detection and staging of gastric cancer. Multidetector computed tomography with multiplanar reformation and virtual gastroscopy offers new opportunities for imaging of gastric diseases. …”
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