Machine Learning Health Monitoring
Listing Websites about Machine Learning Health Monitoring
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Recent deep learning models for diagnosis and health monitoring: …
(3 days ago) WEBAs an important branch of machine learning, deep learning (DL) models with multiple hidden layer structures have the ability to extract highly representative …
https://journals.sagepub.com/doi/full/10.1177/01423312231157118
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Machine learning paradigm for structural health monitoring
(7 days ago) WEBMachine learning provides the advanced mathematical frameworks and algorithms that can help discover and model the performance and conditions of a …
https://journals.sagepub.com/doi/10.1177/1475921720972416
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Review of Machine-Learning Techniques Applied to …
(2 days ago) WEBThis review identifies current machine-learning algorithms implemented in building structural health monitoring systems and their success in determining the level of damage in a hierarchical …
https://www.mdpi.com/2076-3417/12/21/10754
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Machine learning applications in health monitoring of renewable …
(7 days ago) WEBAbstract. Rapidly evolving renewable energy generation technologies and the ever-increasing scale of renewable energy installations are driving the need for more …
https://www.sciencedirect.com/science/article/pii/S1364032123008973
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Machine Learning Algorithms in Civil Structural Health Monitoring: …
(Just Now) WEBApplications of Machine Learning (ML) algorithms in Structural Health Monitoring (SHM) have become of great interest in recent years owing to their superior …
https://link.springer.com/article/10.1007/s11831-020-09471-9
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Deep Learning and Its Applications to Machine Health Monitoring: …
(2 days ago) WEBSince 2006, deep learning (DL) has become a rapidly growing research direction, redefining state-of-the-art performances in a wide range of areas such as …
https://arxiv.org/abs/1612.07640
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Soft Electronics for Health Monitoring Assisted by Machine …
(Just Now) WEBThe principles of classic machine learning algorithms and neural network algorithms are summarized and explained by representative examples combining with …
https://link.springer.com/article/10.1007/s40820-023-01029-1
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Leveraging Machine Learning for Personalized Wearable …
(9 days ago) WEBThis review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices, classifying them into three …
https://www.mdpi.com/2075-4426/14/2/203
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Systematic review of smart health monitoring using deep learning …
(7 days ago) WEBSmart health monitoring system is the solution to the above poses challenges. The recent revolution of industry 5.0 and 5G has led to development of …
https://www.sciencedirect.com/science/article/pii/S2772528621000285
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(PDF) Deep Learning and Its Applications to Machine Health …
(3 days ago) WEBZhao et al. [12] provided a systematic overview of deep learning research on monitoring health by machine. The purpose of the systems that monitor health …
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Current and future role of data fusion and machine learning in
(6 days ago) WEBLong-term monitoring. A health monitoring system should provide long-term monitoring throughout the infrastructure life cycle. This brings some unavoidable …
https://www.tandfonline.com/doi/full/10.1080/15732479.2023.2165118
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Smart Machine Health Prediction Based on Machine Learning in …
(9 days ago) WEBMachine health monitoring with deep learning and its applications is proposed by Zhao et al. to assess and summarize the recent fieldwork on machine …
https://www.mdpi.com/2078-2489/14/3/181
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Machine and Deep Learning Algorithms for Wearable Health …
(1 days ago) WEBAs indicated in Table 1, unlike hospitalization (or emergency care) and home care, WHM is a promising method which can monitor patient’s health anytime …
https://link.springer.com/chapter/10.1007/978-3-030-68723-6_6
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Machine Learning for Healthcare Wearable Devices: The Big Picture
(3 days ago) WEB2. Wearable Devices and Machine Learning. The wearable device domain is being actively researched for the sake of enhancing ease of use, comfort, and …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038375/
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Machine Learning and Mobile Health Monitoring Platforms: A …
(3 days ago) WEBMachine learning-based patient monitoring systems are generally deployed on remote servers for analyzing heterogeneous data. While recent advances …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982705/
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Machine learning for structural health monitoring: challenges and
(3 days ago) WEBAs a step towards the goal of automated damage detection, preliminary results are presented from dynamic modelling of beam structures using physics …
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Structural Health Monitoring Using Machine Learning Techniques
(6 days ago) WEBEnvironmental factors, particularly vibrations and temperature can damage the structural health of the building. To avoid heavy damage to the building and to maintain the …
https://ieeexplore.ieee.org/document/10266048/
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Machine Learning based Intelligent Health Monitoring System
(5 days ago) WEBProposed machine learning based health monitoring system is an android-based smart application that will not only assist users in identifying an illness based on symptoms but …
https://ieeexplore.ieee.org/document/9853117/
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A Review and Tutorial on Machine Learning-Enabled Radar-Based
(5 days ago) WEBRadio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of …
https://ieeexplore.ieee.org/document/10520876
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The Benefits of AI in Healthcare IBM
(7 days ago) WEBThey can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems. AI solutions—such as big data …
https://www.ibm.com/think/insights/ai-healthcare-benefits
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Improving cardiac health through machine learning
(3 days ago) WEBImproving cardiac health through machine learning. Mostafa Al-Alusi. May 15, 2024—Mostafa Al-Alusi, SM ’24, is a cardiologist with a passion for computer science. …
https://www.hsph.harvard.edu/news/features/improving-cardiac-health-through-machine-learning/
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Real-time data analysis in health monitoring systems: A …
(7 days ago) WEBAn intelligent fatigue health monitoring system based on computer with mouse: Proceeding of the 11th World Congress on Intelligent Control and Automation:
https://www.sciencedirect.com/science/article/pii/S1532046422000259
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Remote sensing enabled sustainable tomato plant health and pest
(9 days ago) WEBTraditional monitoring methods are labour-intensive and lack real-time info, leading to ineffective interventions. To address this, an advanced plant health …
https://dl.acm.org/doi/10.1504/ijsnet.2024.138509
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Remote Health Monitoring in Clinical Trial using Machine Learning
(Just Now) WEBThe application of machine learning algorithms in health care can reduce the time spent by the patients in hospital hence reduce mortality rate This remote …
https://link.springer.com/article/10.1007/s12553-022-00652-z
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How machine learning is helping 2 health systems maximize OR …
(7 days ago) WEBMany health systems are exploring ways to make their operating rooms more efficient amid mounting margin, access, and quality pressures. Learn how two health …
https://www.advisory.com/topics/surgery/2024/05/machine-learning-maximize-or-efficiency
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UF study uses machine learning to predict opioid use - UF Health
(6 days ago) WEBMedia contact: Tyler Francischine, [email protected], 352-273-8199 By Tyler Francischine. GAINESVILLE, Fla. — University of Florida researchers have developed a …
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Department of Health announces new Perinatal Dashboard
(9 days ago) WEBFor immediate release: May 15, 2024 (24-053). Contact: DOH Communications. Data is drawn from birth certificates and the state's Pregnancy Risk …
https://doh.wa.gov/newsroom/department-health-announces-new-perinatal-dashboard
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Machine Learning for Maternal Health: OU Engineer Receives NSF …
(8 days ago) WEBTalayeh Razzaghi, Ph.D., an assistant professor in the Gallogly College of Engineering at the University of Oklahoma, has won a National Science Foundation …
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Using Optimized Spectral Indices and Machine Learning …
(1 days ago) WEBSoil copper (Cu) contamination in mining areas poses a serious threat to the surrounding environment and human health. Timely determination of Cu concentrations …
https://www.mdpi.com/2071-1050/16/10/4153
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Machine Learning based Health Monitoring System - ScienceDirect
(7 days ago) WEBAbstract. The research work aim to develop a Smart Health Monitoring System with machine learning system.It allows physicians to monitor patients at a …
https://www.sciencedirect.com/science/article/pii/S2214785320323841
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Next Generation ECG: The Impact of Artificial Intelligence and …
(Just Now) WEBPurpose of Review Development of artificial intelligence (AI) models, particularly the application of machine learning (ML) and deep learning (DL) …
https://link.springer.com/article/10.1007/s12170-023-00723-4
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NYC Council Calls for Maintaining Investments for Early Childhood
(6 days ago) WEBRecent Press Releases NYC Council Calls for Maintaining Investments for Early Childhood Education System and Programs that Support Students’ Recovery from …
https://council.nyc.gov/press/2024/05/15/2605/
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CDC Launches Influenza A Monitoring in National Wastewater …
(9 days ago) WEBHealth Emergencies. Health Emergencies Overview; Outbreaks to Watch. Find information about emerging pathogens, diseases and outbreaks from around the world. …
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Deep transfer learning for tool condition monitoring under
(Just Now) WEBDeep learning methods have developed rapidly in the field of tool condition monitoring, but due to the complexity and diversity of working conditions, it is difficult to …
https://link.springer.com/article/10.1007/s00170-024-13713-6
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Fulfilling the Right to Health: The Path to Lao PDR's Recovery and …
(1 days ago) WEBDigitize health facilities by improving digital data collection systems, introducing an electronic immunization registry, remote temperature monitoring system …
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