Results 61 to 70 of about 8,475,956 (306)
Classification between Failed Nodes and Left Nodes in Mobile Asset Tracking Systems †
Sensors, 2016 Medical asset tracking systems track a medical device with a mobile node and determine its status as either in or out, because it can leave a monitoring area.
Kwangsoo Kim, Jae-Yeon Jin, Seong-il Jin
doaj +1 more source
Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings
Machines, 2022 Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed.
Karolina Kudelina +4 more
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Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source
A Machine Learning Framework for Condition-Based Maintenance of Marine Diesel Engines: A Case Study
AlgorithmsThe development of artificial intelligence-based tools is having a big impact on industry. In this context, the maintenance operations of important assets and industrial resources are changing, both from a theoretical and a practical perspective. Namely,
Francesco Maione +3 more
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Distributed Dynamic Failure Detection
Journal of Software, 2014 Failure monitoring and detection phase is a critical part in providing a scalability, reliability and high availability in current distributed environment. Heartbeat style of interaction is a widely used technique. This technique is utilized for detecting a fault where it monitors the heartbeats of system resources continuously in a very short interval.
Ahmad Shukri Mohd Noor +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
Data-Driven Packet Loss Estimation for Node Healthy Sensing in Decentralized Cluster
Sensors, 2018 Decentralized clustering of modern information technology is widely adopted in various fields these years. One of the main reason is the features of high availability and the failure-tolerance which can prevent the entire system form broking down by a ...
Hangyu Fan, Huandong Wang, Yong Li
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Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants
Sensors, 2021 Photovoltaic (PV) plants typically suffer from a significant degradation in performance over time due to multiple factors. Operation and maintenance systems aim at increasing the efficiency and profitability of PV plants by analyzing the monitoring data ...
Vesna Dimitrievska +6 more
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Failure detection and isolation in integrator networks [PDF]
2015 American Control Conference (ACC), 2015 arXiv admin note: substantial text overlap with arXiv:1309 ...
Mohammad Amin Rahimian +1 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan +14 more
wiley +1 more source