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Relay Node Selection Methods for UAV Navigation Route Constructions in Wireless Multi-Hop Network Using Smart Meter Devices
Published 2025-01-01“…UAVs are treated as network packets, ground devices are treated as routers, and their connections are treated as links. …”
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Device Evaluation, Treatment, and Explantation Recommendations (DETER): Review and Best Practices for Managing Neuromodulation Device Infections
Published 2025-04-01“…This paper outlines best practices for diagnosing, managing, and treating neuromodulation device infections, focusing on guiding clinical decision-making from the onset of infection through treatment and potential reimplantation.Keywords: spinal cord stimulation, intrathecal pumps, procedure complications, infection control, surgical site infection…”
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Lighting System Control for Cataract Maturity Imaging Device
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Structural Heart Interventions in Patients with Left Ventricular Assist Devices
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Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction
Published 2025-05-01“…In the MEC environment, efficiently allocating services, effectively utilizing edge device resources, and ensuring timely service responses have become critical research topics. …”
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A Bio‐Responsive Hydrogel with Spatially Heterogeneous Structure for Treating Infectious Tissue Injuries
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Magnetic resonance-conditional cardiac implantable electronic devices: an Italian perspective on the prevalence of mixed-brand systems over time
Published 2024-11-01“…In the decade between 2012 and 2022, mixed-brand CIED systems were more prevalent in patients treated with pacemakers and CRT devices than in ICD recipients. …”
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Application of adaptive neuro-fuzzy inference system to estimate mass transfer during convective drying of microwave-treated quinoa sprouts
Published 2024-07-01“…To apply pretreatment, quinoa sprouts were placed in the microwave device for 0, 30, 60, and 90 s, and after leaving from the device, they were dried in a hot air dryer. …”
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Neural network based AI model for lung health assessment
Published 2025-07-01“…Abstract Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. …”
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The burden of left ventricular assist device (LVAD) infections on costs, lengths of stay, antimicrobial consumption and resistance: a prospective case control approach
Published 2024-12-01“…Abstract Background Congestive heart failure has reached pandemic levels, and left-ventricular assist devices (LVAD) are increasingly used to treat refractory heart failure. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning
Published 2025-06-01“…However, their training is challenging since most of the learning principles known from artificial neural networks are hardly applicable. Recently, the concept of “blessing of dimensionality” has successfully been used to treat high-dimensional data and representations of reality. …”
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Stability Enhancement of Inverter-Based Microgrids Using Optimized Neural Networks
Published 2025-08-01“…Finally,local measurements are treated as input variables and optimal control parameters as output variables. …”
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Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation
Published 2025-01-01“…This paper aims to compare two well-known convolutional neural network (CNN) structures, namely Fully Convolutional Networks (FCNs) and U-Net for the segmentation of the optic disc (OD) and optic cup (OC) from retinal fundus images which play an important role in glaucoma diagnosis. …”
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A network analysis of nomophobia among Chinese adolescents: Differences in gender and developmental stages
Published 2025-08-01“…Nomophobia (no-mobile-phone phobia) refers to anxiety and discomfort caused by being out of contact with mobile devices or mobile connectivity. Although nomophobia was conceptualized as comprising four dimensions with multiple symptoms, previous research has often treated nomophobia as a unitary construct, overlooking the complex interplay among individual nomophobia symptoms and subgroup-specific patterns. …”
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A FPGA based recurrent neural networks-based impedance spectroscopy system for detection of YAKE in tuna
Published 2025-07-01“…Both technologies have been widely used in food classification and it is proposed a way to improve classifications using recurrent neural networks that treat the impedance data series at different frequencies as a time series, with the intention of improving the identification of alpha and beta dispersions that are fundamental for the determination of food quality. …”
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