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Very-Large-Scale Integration-Friendly Method for Vital Activity Detection with Frequency-Modulated Continuous Wave Radars
Published 2025-03-01“…A simple algorithm for respiratory activity detection in data produced by Frequency-Modulated Continuous-Wave (FMCW) radars is presented in this paper. …”
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On the Rate of Convergence of P-Iteration, SP-Iteration, and D-Iteration Methods for Continuous Nondecreasing Functions on Closed Intervals
Published 2018-01-01“…We introduce a new iterative method called D-iteration to approximate a fixed point of continuous nondecreasing functions on arbitrary closed intervals. …”
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Continuous Joint Kinematics Prediction Using GAT-LSTM Framework Based on Muscle Synergy and Sparse sEMG
Published 2025-01-01“…In this study, we propose a novel framework, muscle synergy (MS)-based graph attention networks (MSGAT-LSTM), specifically designed to address the challenges of continuous motion prediction using sparse sEMG electrodes. …”
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A New 3D Autonomous Continuous System with Two Isolated Chaotic Attractors and Its Topological Horseshoes
Published 2017-01-01“…Furthermore, by means of topological horseshoes theory and numerical computation, the topological horseshoes in this 3D autonomous continuous system is found, and the topological entropy is obtained. …”
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Hemiazygos-accessory hemiazygos continuation of left-sided inferior vena cava: A case report and review of the literature
Published 2025-09-01“…We present a 71-year-old female patient with an incidentally identified left-sided IVC in contrast-enhanced computed tomography during gastrointestinal bleeding workup. …”
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A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver
Published 2025-01-01“…This method significantly reduces computational overhead compared to traditional approaches, while providing robust performance in diverse scenarios, including environments with multiple signals. …”
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Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes
Published 2024-09-01“…Introduction Despite the improvements in diabetes management by continuous glucose monitoring (CGM) it is difficult to capture the complexity of CGM data in one metric. …”
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Neural network based clinical decision support system for the calculation the initial continuous subcutaneous insulin infusion settings
Published 2025-01-01“…BACKGROUND: Despite existing recommendations for the initial calculation of insulin pump settings, the process is largely subjective and depends on the physician’s personal experience.AIM: Development of a clinical decision support system (CDSS) that determines the initial settings of the insulin pump, which would have satisfactory agreement with the expert opinion of physicians.MATERIALS AND METHODS: Neural network model developed using data (continuous subcutaneous insulin infusion (CSII) settings, age, weight, total daily dose, and HbA1c) from 2850 children with T1D who were switched to CSII and achieved optimal glycemic control according to glucose levels. …”
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Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning
Published 2024-11-01“…First, the soil spectral data were preprocessed using Savitzky–Golay (SG) smoothing, multiplicative scattering correction (MSC), and continuous wavelet transform (CWT) to reduce noise interference. …”
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State-Space Solution to Spectral Entropy Analysis and Optimal State-Feedback Control for Continuous-Time Linear Systems
Published 2024-11-01“…In this paper, a problem of random disturbance attenuation capabilities for linear time-invariant continuous systems, affected by random disturbances with bounded <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>σ</mi></semantics></math></inline-formula>-entropy, is studied. …”
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Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing
Published 2025-04-01“…Most existing automated detection/classification approaches that utilize machine learning or deep learning poses privacy issues, as they involve centralized computing and require local storage for data training.MethodsKeeping the privacy of sensitive patient data as a primary objective, in addition to ensuring accuracy and efficiency, this paper presents an algorithm that integrates Federated learning techniques into an IoT-based edge-computing environment. …”
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Computer «ProNRS-І» System and Energy-Saving Problems in Ingot Metallurgy
Published 2004-12-01“…Models for computer analysis of crystallization process in metallurgical ingots obtained as a result of continuous steel casting are proposed in the paper. …”
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On Productiveness and Complexity in Computable Analysis Through Rice-Style Theorems for Real Functions
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