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Development of a New Indirect ELISA Test for the Detection of Anti-Feline Coronavirus Antibodies in Cats
Published 2025-03-01“…The diagnosis of FIP is complex and requires different examinations. Among serological tests, the indirect immunofluorescent antibody test (IFAT), considered the gold standard, and the enzyme-linked immunosorbent assay (ELISA) are the most widely used to detect FCoV antibodies. …”
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222
Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression
Published 2025-02-01“…The performance of the GLEO-coupled with the RFR model was compared with the standard Equilibrium Optimizer (EO) and other state-of-the-art algorithms in physical and physiological function estimation using biological signals.ResultsExperimental results showed that selected features and tuned hyperparameters demonstrated a significant improvement in root mean square error (RMSE), coefficient of determination (R2) and slope with values improving from 0.1330 to 0.1174, 0.7228 to 0.7853 and 0.6946 to 0.7414, respectively for the test dataset. …”
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223
Models of Acoustic Resonators in Studies of Sound-Absorbing Structures
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224
Thermal properties of Cu2S binary copper sulfides
Published 2024-03-01“… Copper chalcogenides have a complex electronic structure due to the interaction of hybridized s- and p-states of chalcogen forming a valence band with 3d states of copper, which greatly complicates the interpretation of temperature dependences of kinetic parameters having a nonmonotonic character. …”
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Robust Target Detection and Estimation for Airborne STAP Radar With Arbitrary Array Errors and Target Uncertainty
Published 2025-01-01“…Finally, target angle estimation using subspace coefficients, which implements the ML estimator in a reduced-dimensional version, is presented to reduce the computational complexity of the ML estimator. …”
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227
Ionic Liquid-Based Centrifuge-Less Cloud Point Extraction of a Copper(II)–4-Nitrocatechol Complex and Its Analytical Application
Published 2025-08-01“…The extracted ternary ion-association complex, identified as (A336<sup>+</sup>)<sub>2</sub>[Cu(4NC)<sub>2</sub>], exhibits a maximum absorbance at 451 nm, with a molar absorption coefficient of 8.9 × 10<sup>4</sup> M<sup>−1</sup> cm<sup>−1</sup> and a Sandell’s sensitivity of 0.71 ng cm<sup>−2</sup>. …”
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228
MT-CMVAD: A Multi-Modal Transformer Framework for Cross-Modal Video Anomaly Detection
Published 2025-06-01“…Video anomaly detection (VAD) faces significant challenges in multimodal semantic alignment and long-term temporal modeling within open surveillance scenarios. …”
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229
Study on the anti-interference characteristics of neuronal networks: a comparative study of chemical synapses and electrical synapse
Published 2025-07-01“…The correlation coefficients after superposition interference become 0.569, 0.163, and 0.88, respectively. …”
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Anomaly Detection of Pipeline Leakage Based on Electric Field Component Imaging Using Ground Penetrating Radar
Published 2022-01-01“…Ground penetrating radar (GPR) is an effective method that can be applied in pipeline leakage detection. However, when the distribution of the underground medium is complex, it becomes difficult to accurately identify the abnormal leakage area directly from the GPR data profile. …”
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232
Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network
Published 2025-05-01“…Joint detection loss and segmentation loss are used for task co-optimization. …”
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233
A hierarchical simulation framework incorporating full-link physical response for short-range infrared detection
Published 2025-08-01“…Missile-borne short-range infrared detection (SIRD) technology is commonly used in military ground target detection. …”
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234
Quality and reliability of IFC/BIM models for public educational facilities construction projects via clash detection
Published 2025-01-01“…A mixed-methods approach was employed to analyse the number, types, and geometric characteristics of detected clashes. The research introduces innovative metrics, such as the Relative Quality Coefficient (RQC), Relative Uncertainty Coefficient (RUC), and Modified Relative Quality Coefficient (MRQC), to assess model quality and reliability quantitatively. …”
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235
Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications
Published 2025-05-01“…For fault diagnosis, the dual-monitoring system reduces the false negative rate to 18.73% and improves recall to 81.27%, demonstrating strong anomaly detection under complex conditions. By combining short-term fluctuation sensitivity with long-term trend stability, the proposed approach offers a robust and generalizable solution for intelligent monitoring. …”
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236
Inter-observational analysis of computed tomography parameters to predict nonobvious posterior ligament complex injury in neurologically intact patients with thoracolumbar trauma
Published 2024-01-01“…Introduction: Assessing the integrity of the posterior ligament complex (PLC), as a key element in the characterization of an unstable Thoracolumbar fracture (TLF), is challenging, but crucial in the choice of treatment. …”
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237
Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems
Published 2024-01-01“…Afterwards, features are selected employing the Skill Optimization Algorithm (SOA). …”
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238
Design and implementation of a 100 kVA transformer monitoring and fault detection system for distribution network
Published 2025-06-01“…Abstract The increasing complexity of today’s power distribution networks requires reliable and intelligent monitoring and maintenance systems, especially as the demand for electricity increases due to technological and population growth. …”
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239
Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction
Published 2025-08-01“…The accurate prediction of significant wave height presents a complex yet vital challenge in the fields of ocean engineering. …”
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240
Detection, Isolation, and Identification of Multiplicative Faults in a DC Motor and Amplifier Using Parameter Estimation Techniques
Published 2025-07-01“…The increasing complexity of modern control systems highlights the need for reliable and robust fault detection, isolation, and identification (FDII) methods, particularly in safety-critical and industrial applications. …”
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