Academic literature on the topic 'Video aart'

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Journal articles on the topic "Video aart"

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Arnstein, Paul, Marcia Shade, Keela A. Herr, Heather M. Young, and Scott M. Fishman. "Managing Older Adults' Chronic Pain." Home Healthcare Now 41, no. 5 (2023): 266–71. http://dx.doi.org/10.1097/nhh.0000000000001203.

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This article is part of a series, Supporting Family Caregivers: No Longer Home Alone, published in collaboration with the AARP Public Policy Institute. Results of focus groups, conducted as part of the AARP Public Policy Institute's No Longer Home Alone video project, supported evidence that family caregivers aren't given the information they need to manage the complex care regimens of family members. This series of articles and accompanying videos aims to help nurses provide caregivers with the tools they need to manage their family member's health care at home. This new group of articles pro
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Arnstein, Paul, Marcia Shade, Keela A. Herr, Heather M. Young, and Scott M. Fishman. "Managing Older Adults' Chronic Pain." Home Healthcare Now 41, no. 4 (2023): 207–13. http://dx.doi.org/10.1097/nhh.0000000000001179.

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This article is part of a series, Supporting Family Caregivers: No Longer Home Alone, published in collaboration with the AARP Public Policy Institute. Results of focus groups, conducted as part of the AARP Public Policy Institute's No Longer Home Alone video project, supported evidence that family caregivers aren't given the information they need to manage the complex care regimens of family members. This series of articles and accompanying videos aims to help nurses provide caregivers with the tools they need to manage their family member's health care at home. This new group of articles pro
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Tonkikh, Orly, Nai-Ching Chi, Keela A. Herr, Scott M. Fishman, and Heather M. Young. "Supporting the Health and Well-Being of Caregivers of Persons with Pain Strategies to address stress and improve self-care." Home Healthcare Now 42, no. 2 (2024): 103–9. http://dx.doi.org/10.1097/nhh.0000000000001259.

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This article is part of a series, Supporting Family Caregivers: No Longer Home Alone, published in collaboration with the AARP Public Policy Institute. Results of focus groups, conducted as part of the AARP Public Policy Institute's No Longer Home Alone video project, supported evidence that family caregivers aren't given the information they need to manage the complex care regimens of family members. This series of articles and accompanying videos aims to help nurses provide caregivers with the tools they need to manage their family member's health care at home. This new group of articles pro
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Mashtalir, Sergii V., and Dmytro P. Lendel. "Video fragment processing by Ky Fan norm." Applied Aspects of Information Technology 7, no. 1 (2024): 59–68. http://dx.doi.org/10.15276/aait.07.2024.5.

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In this study, we focused on the formalization of video frame descriptions in the context of solving video segmentation problem. Since native video data can have various sizes, dividing each frame into blocks allows present image frame as a square matrix for a formal description. The frame block is a matrix of arbitrary dimensions. The ability to skip the step of matrix transformation to a square dimension or vectorization using some descriptor allows to reduce computational costs, freeing up computational resources required for this transformation. In our study, we used Ky Fan norm value as i
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Darwin, Claire, Imogen Howarth, and Roger Booker. "The Analysis of Additional Needs (AANT): Online educational psychology analysis and consultation process." Educational and Child Psychology 39, no. 3 (2022): 6–21. http://dx.doi.org/10.53841/bpsecp.2022.39.3.6.

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Aim(s)This exploratory research aimed toexplorethe views of education setting staff who have undertaken an Analysis of Additional Needs Screening Tool (AANT) online assessment and consultation with an Educational Psychologist (EP). Initially, education staff complete the online AANT form, comprising a range of solution-oriented questions about the child or young person’s strengths and difficulties. This is followed by a consultation with an EP. Whilst the EP service now utilises video conferencing applications, at the time of this research the consultation was undertaken either face-to-face (F
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Sheremet, Oleksii I., Oleksandr Ye Korobov, Oleksandr V. Sadovoi, and Yuliia V. Sokhina. "INTELLIGENT SYSTEM BASED ON A CONVOLUTIONAL NEURAL NETWORK FOR IDENTIFYING PEOPLE WITHOUT BREATHING MASKS." Applied Aspects of Information Technology 3, no. 3 (2020): 133–44. http://dx.doi.org/10.15276/aait.03.2020.2.

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The COVID-19 pandemic is having a huge impact on people and communities. Many organizations face significant disruptions and issues that require immediate response and resolution. Social distancing, breathing masks and eye protection as preventive measures against the spread of COVID-19 in the absence of an effective antiviral vaccine play an important role. Banning unmasked shopping in supermarkets and shopping malls is mandatory in most countries. However, with a large number of buyers, the security is not able to check the presence of breathing masks on everyone. It is necessary to introduc
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Mertens, Lisa, Kristine De Martelaer, Arja Sääkslahti, and Eva D’Hondt. "The Inter-Rater and Intra-Rater Reliability of the Actual Aquatic Skills Test (AAST) for Assessing Young Children’s Motor Competence in the Water." International Journal of Environmental Research and Public Health 19, no. 1 (2021): 446. http://dx.doi.org/10.3390/ijerph19010446.

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As children’s actual aquatic skills are important for the prevention of drowning as well as their engagement in lifelong aquatic physical activity, researchers and practitioners should be able to assess this vital concept accurately and reliably. Therefore, this study aimed to investigate the inter-rater and intra-rater reliability of the Actual Aquatic Skills Test (AAST), consisting of 17 different test items for the assessment of young children’s motor competence in the water. Six raters received a training and evaluation session on scoring the AAST, after which five of them assessed four te
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Antoshchuk, Svitlana G., Tetiana V. Kunup, Volodymyr I. Lytvynenko, and Oleksii V. Danchuk. "Using large language models for video processingin theagricultural industry." Applied Aspects of Information Technology 8, no. 1 (2025): 88–101. https://doi.org/10.15276/aait.08.2025.7.

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Modern artificial intelligence technologies, particularly large language models, are increasingly being applied in agriculture to enhance automation, decision-making, and sustainability. This study presents a comprehensive analysis of large language modelsand their integration with computer vision and video processing for real-time livestock monitoring. A software system was developed that utilizes multimodal large language models to analyze poultry behavior from video streams, enabling the detection of anomalies, prediction of potential health issues, and automatic generation of recommendatio
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Browning, Robert. "The C-SPAN Video Archives: A Case Study." American Archivist 77, no. 2 (2014): 425–43. http://dx.doi.org/10.17723/aarc.77.2.b40251245102j258.

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Dobryshev, Ruslan Y. "Anomaly detection in crowded scenes: technologies, challenges and opportunities." Applied Aspects of Information Technology 7, no. 3 (2024): 219–30. http://dx.doi.org/10.15276/aait.07.2024.15.

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The paper discusses advancements in intelligent video surveillance systems, particularly focused on anomaly detection in crowded environments. These systems aim to enhance public safety by automatically detecting unusual behavior and potential threats in real-time. Traditional video surveillance, relying heavily on human monitoring, faces limitations like reduced concentration and slow response times. In contrast, intelligent surveillance uses machine learning and AI algorithms to process vast amounts of video data, identifying patterns that deviate from normal behavior. Crowd anomaly detectio
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Dissertations / Theses on the topic "Video aart"

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Strydom, Esmarie. "Die aard, gebruiksmoontlikhede en implikasies van interaktiewe video vir onderrig in die Republiek van Suid-Afrika / Esmarie Strydom." Thesis, Potchefstroom University for Christian Higher Education, 1993. http://hdl.handle.net/10394/9089.

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Interactive video technology is regarded as the latest addition to the already large number of instructional media which may benefit education. Interactive video was developed as a combination of video technology, laser technology and computer technology. In education, these technologies occur in a large variety of configurations. Thus, a basic video recorder and monitor can be interactively integrated in lessons by the manner in which the teacher controls this apparatus. In contrast, the most advanced configuration of interactive video consists of a microprocessor, video monitor and laser dis
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Books on the topic "Video aart"

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Miró, Neus. Insomnia. Fundació Joan Miró, 2013.

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Conference papers on the topic "Video aart"

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Yang, Chao-Lung, Tzu-Ching Kao, Po Ting Lin, and Pin-Cheng Fu. "Human Assembly Action Recognition Framework for Real-World Assembly Operation." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-141805.

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Abstract In recent years, significant progress has been proceeded in human action recognition (HAR) technology. When applying HAR to practical scenarios, especially in the task of recognizing Standard Operating Procedures (SOP) for factory operators, some challenges such as resource requirements, differentiation of diverse movements, and difficulties in manual annotation exist. In this research, an assembly action recognition framework (AARF) was proposed to recognize the assembly operation conducted at the station level using the SlowFast video understanding model. First, the pre-trained YOLO
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Yin, Zhaozheng, and Li Cao. "Traffic Parameters Detection Based on Video Virtual-Loop Technologies." In Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT). American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40632(245)111.

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Zou, Nan, and Jianwei Wang. "A Video-Based Method for Evaluating Traffic Data from Detectors." In Ninth International Conference on Applications of Advanced Technology in Transportation (AATT). American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40799(213)38.

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Angel, Alejandro, Mark Hickman, Dinesh Chandnani, and Pitu Mirchandani. "Application of Aerial Video for Traffic Flow Monitoring and Management." In Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT). American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40632(245)44.

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Tan, X. J., Z. Yu, J. Li, and Z. C. He. "A New Algorithm of Traffic Monitoring Based on Real-Time Video." In Ninth International Conference on Applications of Advanced Technology in Transportation (AATT). American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40799(213)37.

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Halkias, Bill M., Kostas Papandreou, Pantelis Kopelias, Vily Vegiri, and Panos D. Prevedouros. "Tests of Automated Incident Detection with Video Image Processors in Attica Tollway Tunnels." In Ninth International Conference on Applications of Advanced Technology in Transportation (AATT). American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40799(213)36.

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Liu, Yue, Gang-Len Chang, Ruihua Tao, Eric Tabacek, and Thomas Hicks. "Measuring the Response of Drivers to a Yellow Phase with a Video Based Approach." In Ninth International Conference on Applications of Advanced Technology in Transportation (AATT). American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40799(213)92.

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Lee, Woochul, and Bin Ran. "Real-Time Background Generation and Update Using Online CCTV Videos." In Ninth International Conference on Applications of Advanced Technology in Transportation (AATT). American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40799(213)52.

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Robeda, James, and Richard Morgan. "Evaluation of Machine-Vision Based Profile Measurements for Rolling Railcar Wheels." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61890.

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In an effort to increase the number of wheels with measured profile parameters and reduce the number of condemnable wheels in service, machine vision-based wayside inspection systems are being developed to “virtually” gage all wheels of passing trains. In 2003, Transportation Technology Center, Inc. (TTCI), a wholly owned subsidiary of the Association of American Railroads (AAR), evaluated a pair of these wheel profile monitoring systems from two different vendors. Wheel-related expenses (inspection, maintenance, and replacement) make up about 37 percent of annual car maintenance costs. A sign
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Deabreu, Caila, Eric Osorio, and Hong Liu. "Curiosity Games: Enhancing STEM Education in a VR Math Game Through GIFT Integration." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006388.

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The proposed integration of the Generalized Intelligent Framework for Tutoring (GIFT) into Curiosity Games, our Mars-based VR math game, represents a transformative approach to STEM education and training. Designed to engage middle and high school students, the game immerses learners in a dynamic educational experience while fostering skills critical for future careers in defense, aerospace, and STEM fields. Developed by the U.S. Army and its collaborators, GIFT provides advanced adaptive learning capabilities, real-time assessments, and robust monitoring tools that align seamlessly with the g
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