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A Novel Voltage–Current Characteristic Model for Understanding of Electric Arc Furnace Behavior Using Experimental Data and Grey Wolf Optimization Algorithm
Published 2025-04-01“…The results show that the proposed model significantly reduces voltage and current harmonic distortion compared to existing models. …”
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82
An Electro-Magnetic Log (EML) Integrated Navigation Algorithm Based on Hidden Markov Model (HMM) and Cross-Noise Linear Kalman Filter
Published 2025-02-01“…The sea trial of a small-sized AUV shows that the endpoint positioning error of the proposed/traditional algorithm by this paper is 20.5 m/712.1 m. The speed of the water current could be relatively accurately estimated by the proposed algorithm. …”
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83
Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits
Published 2024-01-01“…This work presents a novel curve warning system that addresses the existing Advanced Driver-Assistance Systems (ADAS) limitations. While current ADAS offer curve warnings, they often lack the consideration of subsequent curve’s speed limit and distance, hindering optimal warning location calculations. …”
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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents
Published 2025-12-01Subjects: Get full text
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DETECTION OF CURRENT CIRCUITS FAULT FOR DIFFERENTIAL CURRENT PROTECTION
Published 2018-04-01“…The block diagram of algorithm of determination of open circuits on the basis of the analysis of increments of the acting values of brake and differential currents is presented; the principle of its functioning is described. …”
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88
Enhanced CPCV algorithm for improving power quality in electric vehicle battery charging
Published 2025-07-01“…These issues are not sufficiently addressed by conventional charging algorithms like Constant Current Constant Voltage (CCCV), which frequently leads to higher Total Harmonic Distortion (THD), decreased system efficiency, and generally insufficient performance PQ. …”
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89
A Modularized Super Capactior Energy Storage System forMetro Train and Its Control Algorithm
Published 2020-01-01Get full text
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90
Let’s get in sync: current standing and future of AI-based detection of patient-ventilator asynchrony
Published 2025-03-01“…Multiple forms of AI have been used for the automated detection of PVA, including rule-based algorithms, machine learning and deep learning. Three licensed algorithms are currently reported. …”
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91
Chronic thromboembolic pulmonary hypertension after an acute pulmonary embolism: fundamental concepts of diagnosis and review of current treatment options
Published 2021-10-01“…For patients with inoperable or persistent/ recurrent CTEPH, medication therapy is recommended. Currently, the only drug with a high class of evidence for this group of patients is riociguat. …”
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92
Comprehensive Exploration of Limitations of Simplified Machine Learning Algorithm for Fault Diagnosis Under Fault and Ground Resistances of Multiterminal High-Voltage Direct Current System
Published 2025-03-01Subjects: “…multiterminal high-voltage direct current (MT-HVDC) system…”
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93
Optimal Protection Coordination for Grid-Connected and Islanded Microgrids Assisted by the Crow Search Algorithm: Application of Dual-Setting Overcurrent Relays and Fault Current Limiters
Published 2025-03-01“…To solve this complex optimization problem, the Crow Search Algorithm (CSA) is employed, ensuring the derivation of reliable and effective solutions. …”
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Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current
Published 2024-12-01“…This study investigated the feasibility of a deep learning iterative reconstruction algorithm (Deep IR) in reducing the radiation dose while improving the image quality for abdominal computed tomography (CT) with low tube voltage and current. …”
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96
Rapid Control Prototyping and Analysis of a Fault Diagnosis and Amplifying Algorithm for Broken Rotor Bar Induction Motor Drives
Published 2025-01-01“…The FDnA algorithm employs a cascaded state observer structure, integrating stator flux linkage and stator current observers based on an analytical model of an induction motor. …”
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97
A Low Inrush Current Pre-Charging Strategy of M3C with Improved Nearest Level Modulation
Published 2025-05-01“…By improving the current limiting resistor and the number of Sub-Modules (SMs) inserted into the NLM, we achieve a reduction in inrush current when connected to the grid, and unlock the control algorithm, respectively. …”
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A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)
Published 2025-04-01“…Multi-class classification was more challenging, with Gradient Boosting emerging as the top model, achieving the highest recall (0.666) and precision (0.663) on the external validation set, with a strong F1-score (0.664) and reasonable calibration (Brier Score = 0.223).ConclusionMachine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …”
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Improvement of grid injected currents in single-phase inverters rejecting DC link voltage oscillations based on multi-resonant filtering
Published 2024-02-01Subjects: Get full text
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