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Detecting and reducing heterogeneity of error in acoustic classification
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Reduced graphene oxide-based absorbance biosensors for detecting Escherichia coli DNA
Published 2025-08-01“…The functionalized reduced graphene oxide was successfully synthesized using a modified Hummers’ method, followed by a hydrothermal reduction step. …”
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Wide-Based Illumination and Detection in Functional Near-Infrared Spectroscopy for Enhanced Seizure Detection in Grey Matter
Published 2025-06-01“…Functional near-infrared spectroscopy (fNIRS) is a non-invasive method for monitoring brain activity by detecting hemodynamic changes. …”
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SARE: an optimized method for detection functional regulatory elements in genome
Published 2025-04-01Get full text
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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression
Published 2025-01-01“…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
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Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups
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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection
Published 2025-01-01“…As an inherent characteristic of synthetic aperture radar (SAR) systems, the presence of speckle noise reduces the signal-to-noise ratio (SNR) of SAR images, leading to blurred image details and limiting the accuracy of change detection in SAR images. …”
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Early detection of Parkinson's disease: Retinal functional impairments as potential biomarkers
Published 2025-05-01“…Objective: The aim was to identify biomarkers by validating the use of electroretinography, a non-invasive technique, to detect early retinal function anomalies reflecting central dysfunction. …”
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An Algorithm for Motion Estimation Based on the Interframe Difference Detection Function Model
Published 2021-01-01“…In this paper, we simulate the estimation of motion through an interframe difference detection function model and investigate the spatial-temporal context information correlation filtering target tracking algorithm, which is complex and computationally intensive. …”
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Conflict Detection of Functional Requirements Based on Clustering and Rule-Based System
Published 2024-01-01“…The evaluation verified the proposed method to reduce computing time and increase accuracy for detecting conflict functional requirements.…”
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Human-Machine Function Allocation Method for Submersible Fault Detection Tasks
Published 2024-11-01“…To address this issue, we proposed a human-machine function allocation method based on level of automation (LOA) taxonomy and submersible task complexity (STC), aimed at improving human-machine cooperation in submersible fault detection tasks. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm
Published 2025-01-01“…Second, in order to further reduce the size of the model while ensuring the detection accuracy, Feature Interaction Shared Detection Head (FISH) is introduced. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection
Published 2025-06-01“…This model integrates fuzzy logic and fuzzy membership functions to handle uncertainty in crack detection. …”
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Small-dose esketamine combined with sufentanil reduces perioperative inflammation in elderly patients with total hip replacement
Published 2025-01-01“…Conclusions Low-dose esketamine combined with sufentanil can reduce peri-operative inflammation in elderly patients undergoing THA with minimal impact on immune function.…”
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Detection of composition of functional component theabrownins in Pu-erh tea by degradation method
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Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection
Published 2025-01-01“…Based on these findings, we propose a novel weighted multi-objective function (MOF) that balances key performance metrics according to clinical needs, with particular emphasis on Accuracy for overall correctness, Recall for reducing false negatives, and AUC for enhancing class discrimination in melanoma detection, thus ensuring both general reliability and high sensitivity in detecting melanoma. …”
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