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A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli

• Source: A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - Nelli

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The Italian Version of the Computer-Vision Symptom Scale Questionnaire: Translation, Validation and Reliability.

• Authors : Gemma Caterina Maria Rossi, Principal Investigator

• Source: The Italian Version of the Computer-Vision Symptom Scale Questionnaire: Translation, Validation and Reliability.

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Impact of 'SESL01' Lens on Computer Vision Syndrome

• Authors : Rupal Lovell-Patel, Principal Investigator

• Source: Evaluation of the Effectiveness of the Super Enhanced Single Vision Lens L01 (SESL01) in Reducing Symptoms of Computer

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A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)

• Source: A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)

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A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning

• Source: A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning

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Risk Factors Among Nursing Students Regarding Computer Vision Syndrome

• Authors : Mohammed Elsayed Zaky, Principal Investigator

• Source: Prevalence and Associated Risk Factors Among Nursing Students Regarding Computer Vision SyndromeMrayyan MT, Alseid ARH, Ghoolah TS,

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Prevalence and Sequelae of Computer Vision Syndrome in Egyptian Universities

• Authors : Prof. Mohammed Iqbal, Professor of Ophthalmology

• Source: Visual, Ocular Surface and Extraocular Diagnostic Criteria for Prevalence of Computer Vision Syndrome: A Cross-sectional Smart-survey

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Evaluation of the Accuracy of a Computer Vision-based Tool for Assessment of Total Body Fat Percentage (MEASURE)

• Authors : Amazon, Inc.; Massachusetts General Hospital; Steven Heymsfield, Professor, George A. Gray Endowed Chair

• Source: Evaluation of the Accuracy of a Computer Vision-based Tool for Assessment of Total Body Fat PercentageMajmudar MD, Chandra S,

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Recovery of Motor Skills With the Use of Artificial Intelligence and Computer Vision

• Authors : Moscow Technical University of Communications and Informatics

• Source: Recovery of Motor Functions Through Assistive Motion Capture Software Using Artificial Intelligence and Computer Vision

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Analysis of Visual and Ocular Outcomes of Computer Vision Syndrome

• Authors : Mostafa Refaat Refaee, Resident of ophthalmology department, Sohag University Hospitals

• Source: Analysis of Visual and Ocular Outcomes of Computer Vision SyndromeVaz FT, Henriques SP, Silva DS, Roque J, Lopes AS, Mota M. Digital

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