Data Driven Health Monitoring

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Mobile and wearable sensors for data-driven health …

(7 days ago) WebThe remainder of this paper is organized as follows: Section 2 provides research methodology. Section 3 presents a review of mobile and wearable sensors for health monitoring systems, categories, strengths, and weaknesses. Section 4 …

https://www.sciencedirect.com/science/article/pii/S095741742200714X

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Sensors Free Full-Text Data-Driven Structural Health …

(1 days ago) WebData-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in …

https://www.mdpi.com/1424-8220/20/10/2778

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Mobile and wearable sensors for data-driven health …

(9 days ago) WebIt was observed that sensors embedded in mobile and wearable devices for health monitoring are broadly categorized into homogeneous, dual, and heterogeneous …

https://dl.acm.org/doi/10.1016/j.eswa.2022.117362

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Machine learning and structural health monitoring …

(3 days ago) WebNear real-time and online damage assessment in structural health monitoring (SHM) systems is a promising transition toward bridging the gaps between …

https://journals.sagepub.com/doi/full/10.1177/14759217211036880

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Digital health data-driven approaches to understand …

(9 days ago) WebThe state of the science of digital health data-driven approaches to understand human behavior. This manuscript provides a review of the state of the …

https://www.nature.com/articles/s41386-020-0761-5

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From data to insight, enhancing structural health …

(9 days ago) WebOwing to recent advancements in sensor technology, data mining, Machine Learning (ML) and cloud computation, Structural Health Monitoring (SHM) based on a …

https://iopscience.iop.org/article/10.1088/2631-8695/acefae

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Unsupervised Learning Methods for Data-Driven …

(Just Now) WebStructural damage detection using unsupervised learning methods has been a trending topic in the structural health monitoring (SHM) research community during …

https://www.mdpi.com/1424-8220/23/6/3290

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Data-Driven Structural Health Monitoring and Damage …

(3 days ago) WebData-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294417/

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(PDF) Data-Driven Structural Health Monitoring and

(8 days ago) WebData-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed …

https://www.researchgate.net/publication/346615152_Data-Driven_Structural_Health_Monitoring_and_Damage_Detection_through_Deep_Learning_State-of-the-Art_Review

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A novel data-driven method for structural health monitoring under

(7 days ago) WebDealing with the problem of large volumes of high-dimensional features and detecting damage under ambient vibration are critical to structural health monitoring. …

https://journals.sagepub.com/doi/10.1177/1475921720973953

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Sensors Free Full-Text Data-Driven Structural Health Monitoring

(9 days ago) WebIn structural health monitoring (SHM), most current methods and techniques are based on the assumption of linear models and linear damage. However, …

https://www.mdpi.com/1424-8220/24/2/505

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A Data-Driven Health Monitoring Method Using Multiobjective

(4 days ago) WebThis article proposes a new data-driven health monitoring method, which uses multiobjective optimization and stacked autoencoder based health indicator. Specifically, …

https://ieeexplore.ieee.org/document/9119444

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Data-Driven Structural Health Monitoring Approach Using Guided …

(6 days ago) WebIn this paper, a data-driven structural health monitoring (SHM) approach is proposed to conduct in situ evaluation of the structural health state, i.e., damage location …

https://ascelibrary.org/doi/10.1061/%28ASCE%29AS.1943-5525.0001145

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Data-Driven Structural Health Monitoring Using Feature Fusion …

(4 days ago) WebThis study developed a practical end-to-end framework that makes use of physical features embedded in raw data and an elaborated hybrid deep learning model, …

https://www.semanticscholar.org/paper/Data-Driven-Structural-Health-Monitoring-Using-and-Dang-Tran-Ngoc/6568517b91c18e64ebae5dbcd82d3bd9c1b797f2

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Data-driven system health monitoring technique using …

(Just Now) WebThis paper presents the development of a real-time and data-driven aircraft health monitoring technique to monitor in-flight operations by detecting off-nominal …

https://link.springer.com/article/10.1007/s00521-020-05186-x

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Application practice of data-driven health condition monitoring …

(4 days ago) WebWith the rapid application of intelligent manufacturing in the industrial field, the market demand for health condition monitoring and predictive maintenance of large …

https://ieeexplore.ieee.org/abstract/document/10026727

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DeepFMEA -- A Scalable Framework Harmonizing Process …

(2 days ago) WebMachine Learning (ML) based prognostics and health monitoring (PHM) tools provide new opportunities for manufacturers to operate and maintain their equipment in a …

https://arxiv.org/abs/2405.08041

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Inspiration4 data access through the NASA Open Science Data

(Just Now) WebThe NASA Open Science Data Repository (OSDR) 1, 2, 3 provides open and FAIR 4 access to spaceflight and space-relevant biological studies from the past …

https://www.nature.com/articles/s41526-024-00393-5

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ISO - An easy guide to understanding healthcare data analytics

(5 days ago) WebThe field of healthcare data analytics stands at the intersection of technology and healthcare, promising to transform how we manage, deliver and access medical …

https://www.iso.org/healthcare/data-analytics

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How to ensure data from monitoring devices is ‘meaningful’

(5 days ago) WebWe should only be deriving information that is meaningful to decision-making, otherwise we are wasting time producing data that contributes to administration burden. …

https://www.digitalhealth.net/2024/05/how-to-ensure-data-from-monitoring-devices-is-meaningful/

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A Data-Driven Health Monitoring Method for Satellite …

(4 days ago) WebIn the operation of artificial satellites, it is very important to monitor the health status of the systems and detect any symptoms of anomalies in the …

https://ieeexplore.ieee.org/document/7859276

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Data Quality Monitoring: A Guide to Ensure Data Integrity

(9 days ago) WebData quality monitoring (DQM) plays a critical role in safeguarding the integrity of these datasets. It is a set of processes designed to assess, measure, and …

https://hevodata.com/learn/what-is-data-quality-monitoring/

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A New Era Of Martech: Mastering Data Compliance In Healthcare

(1 days ago) WebThe intersection of marketing technology and stringent data regulations demands a nuanced approach to ensure both compliance and effective marketing …

https://www.forbes.com/sites/forbesagencycouncil/2024/05/10/a-new-era-of-martech-mastering-data-compliance-in-healthcare/

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Computers Free Full-Text Enhancing Workplace Safety through …

(9 days ago) WebThis paper describes an integrated monitoring system designed for individualized environmental risk assessment and management in the workplace. The …

https://www.mdpi.com/2073-431X/13/5/120

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Big Data: Latest Articles, News & Trends TechRepublic

(4 days ago) Web8 Best Data Science Tools and Software. Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools …

https://www.techrepublic.com/topic/big-data/

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Data-Driven Approaches for Distribution Transformer Health …

(6 days ago) WebDistribution transformers are the key components in distribution systems to maintain reliability of the system operation and reduce power outages. In this paper, a literature …

https://ieeexplore.ieee.org/document/10288844/

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