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Optimizing Gammatone Cepstral Coefficients for Gear Fault Detection
Published 2025-01-01“…Furthermore, optimizing the number of GTCC coefficients helps reduce model complexity. Experimental results demonstrate that optimizing GTCC parameters with GWO improves fault detection performance using an SVM classifier, achieving over 1% and 3% accuracy improvements on the PHM09 and DDS datasets, respectively.…”
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QUADRATURE MEASUREMENT METHOD FOR COMPLEX PARAMETERS OF MICROWAVE TWO-POLES
Published 2019-02-01Subjects: Get full text
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An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding
Published 2012-01-01“…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. …”
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Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks
Published 2025-05-01“…Distributed Acoustic Sensing (DAS) systems face increasing challenges in massive data processing and real-time fault diagnosis due to the growing complexity of industrial environments and data volume. …”
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Anomaly Detection Method for Hydropower Units Based on KSQDC-ADEAD Under Complex Operating Conditions
Published 2025-06-01“…The safe and stable operation of hydropower units, as core equipment in clean energy systems, is crucial for power system security. However, anomaly detection under complex operating conditions remains a technical challenge in this field. …”
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GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments
Published 2025-07-01“…However, existing detection methods face challenges such as varying target scales, large model parameters, and poor adaptability to complex backgrounds. …”
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Hydrodynamic Calculation and Analysis of a Complex-Shaped ROV Moving near the Wall Based on CFDs
Published 2025-06-01“…These findings provide valuable insights into calculating hydrodynamic coefficients and modeling the dynamics of ROVs with complex shapes operating near the wall.…”
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Development of a thrombin-antithrombin complex detection kit and study in venous thromboembolism complicated by cervical cancer
Published 2024-12-01“…Thrombin-antithrombin complex (TAT), fibrinolytic enzyme-α2-fibrinolytic inhibitor complex (PIC), thrombomodulin (TM), and tissue-type plasminogen activator inhibitor 1 complex (t-PAIC) were detected using quantitative chemiluminescence immunoassay. …”
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Experimental Estimation of Two-Phase Flow Parameters in the Pneumatic System of a Sowing Complex
Published 2025-01-01“…Introduction. In modern sowing complexes, the process of transporting and distributing seeds and fertilizers is carried out using an air stream. …”
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Detection of Effective Devices in Information Dissemination on the Complex Social Internet of Things Networks Based on Device Centrality Measures
Published 2025-01-01“…The Complex Social Internet of Things (CSIoT) integrates the connectivity of IoT with the relational dynamics of complex social networks, creating systems where devices autonomously form and manage relationships. …”
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Biotinylated fusion protein-streptavidin-peroxidase complex based non-competitive magnetic immunoassay for rapid detection of organophosphorus pesticides
Published 2025-12-01“…This study employed the SIC2 peptide, which recognized the immune complex of single-chain variable fragment 5 (scFv5) and OPs, to reveal its potential for detecting OPs residues. …”
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A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards
Published 2025-07-01“…For fruit counting, the method attains a high coefficient-of-determination of 0.85 and a low root-mean-square error (RMSE) of 1.57, exhibiting high accuracy and stability of fruit detection, tracking and counting in video sequences under complex orchard environments.…”
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Exploring human mutuality in cyber and physical spaces using mobile big data and network analysis
Published 2025-08-01Get full text
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A hybrid parallel convolutional spiking neural network for enhanced skin cancer detection
Published 2025-04-01“…When the condition of illness worsens, the chance of survival is reduced, and thus detection of skin cancer is extremely difficult. Hence, this paper introduces a new model, known as Parallel Convolutional Spiking Neural Network (PCSN-Net) for detecting skin cancer. …”
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UV–Vis Detection of Thioacetamide: Balancing the Performances of a Mn(III)-Porphyrin, Gold Colloid, and Their Complex for Selecting the Most Sensitive Material
Published 2025-05-01“…It could be concluded that Mn-3,4-diMeOPP could detect/quantify thioacetamide (TAA) in the range 3.13 × 10<sup>−8</sup> M–7.67 × 10<sup>−7</sup> M in a linear fashion, with a 99.85% confidence coefficient. …”
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Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer’s Disease Detection
Published 2025-06-01“…Quantitative electroencephalography (QEEG) has emerged as a promising tool for detecting Alzheimer’s disease (AD). Among QEEG measures, Multiscale Fuzzy Entropy (MFE) shows great potential in identifying AD-related changes in EEG complexity. …”
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Development of a Multiplex Real-Time PCR Assay for the Detection of Eight Pathogens Associated with Bovine Respiratory Disease Complex from Clinical Samples
Published 2025-07-01“…Bovine respiratory disease complex (BRDC) is one of the primary causes of morbidity, mortality, and economic loss in cattle worldwide. …”
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Citrus quality grading based on statistical complexity measurement and multifractal spectrum method
Published 2015-05-01“…And the correlation coefficients with the true value were above 0.8 and 0.7.The above results show that calculating complexity measurement, perimeter-area fractal dimension, unit barycentric coordinate multifractal spectrum height and width can better reflect the characteristics of Bingtang orange fruits with disease and insect pest defects which need to grade citrus fruit quality, and can also reflect navel oranges fruit shape, color characteristics and internal sugar and acidity level which are nondestructive detection mapping parameter features.…”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data
Published 2025-01-01“…Additionally, we select a chromosome structure focusing on three hyperparameters to effectively narrow the search space, reducing computational complexity while maintaining high detection performance. …”
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