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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures
Published 2024-10-01“…Iterative hyperparameter adjustment and trial-and-error refining achieved optimum predictions. All the models were evaluated using correlation (R) values for training, validation, and testing datasets. …”
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Advanced Pharmaceutical Recognition System Based on Deep Learning for Mobile Medication Identification
Published 2025-05-01“…Deployed as a user-friendly mobile application, the system prioritizes accessibility for elderly users, offering a practical solution to reduce medication errors. …”
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Improved in-situ direct shear test of rock mass structural plane and its application to stability analysis of bedding slope
Published 2025-12-01“…Previous tests of shear strength parameters for rock mass structural planes have mostly focused on laboratory experiments, which inevitably suffer from sample disturbance, boundary effects, size effects, and grading scale error. An improved in-situ direct shear test method, utilizing an angle-adjustable leveling steel frame adapted to the rock mass structural planes with different dip angles was developed to test the shear strength parameters of the rock mass and its structural planes in natural and saturated states on a bedding rocky slope. …”
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Simplified Physical Stability Assessment of Chilean Mine Waste Storage Facilities Using GIS and AI: Application in the Antofagasta Region
Published 2025-01-01“…This approach reduces analysis time and minimizes human error. Validated in the Antofagasta Region, Chile’s primary mining area, we identified and evaluated 70 WRD and 54 LWD. …”
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1765
Underwater Wireless Laser-Based Communications Using Optical Phased Array Antennas
Published 2023-01-01Get full text
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1766
Application of the Adaptive Mixed-Order Cubature Particle Filter Algorithm Based on Matrix Lie Group Representation for the Initial Alignment of SINS
Published 2025-05-01“…Under large azimuth misalignment conditions, the initial alignment of strapdown inertial navigation systems (SINS) is challenged by the nonlinear characteristics of the error model. Traditional particle filter (PF) algorithms suffer from the inappropriate selection of importance density functions and severe particle degeneration, which limit their applicability in high-precision navigation. …”
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Experimental investigations and field applications of a tension estimation method for two linked suspenders using only local vibration measurements
Published 2025-09-01“…For one linked suspender, the estimated tension errors are approximately −3% (out-of-plane) and 1% (in-plane). …”
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An intelligent soft computing model for predicting the thermal behavior of blood-based trihybrid nanofluids flow in biomedical drug delivery applications
Published 2025-10-01“…The simulation results of the proposed NAEI-BRA closely align with the numerical findings across numerous test scenarios, exhibiting minimal errors and significant consistency. Furthermore, the precision and reliability of the developed NAEI-BRA are meticulously verified through the analysis of mean square error, error histograms, autocorrelation analysis, and regression analysis, yielding results for the BTHN-DFD model that provide compelling evidence of the proposed technique's predictive reliability and efficacy.…”
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Adaptive Sequential Singular Spectrum Analysis: Effective Signal Extraction with Application to Heart Rate Signals Related to E-Cigarette Use
Published 2024-12-01“…While the conventional approach, recommending a larger window length, excels with short to moderately-sized time series, it becomes computationally burdensome for longer time series, potentially amplifying mean squared reconstruction errors. This study addresses this methodological gap by introducing an adaptive sequential SSA method that iteratively selects an optimal window length for efficient extraction of essential eigen-sequences (signals) with minimal reconstruction error. …”
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Enhancing Short-Term Wind Speed Prediction Based on Deep Learning With Ensemble Learning Model for Small Wind Turbine Applications
Published 2025-01-01“…The performance of deep learning algorithms is evaluated using multiple metrics, namely, mean square error, normalized mean square error, root mean square error, normalized root means square error, relative root mean square error, mean absolute percentile error, symmetric mean absolute percentage error, and coefficient of determination. …”
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1775
Non-linear PID control of AC current and DC voltage for a photovoltaic system operating on a microgrid
Published 2025-03-01Get full text
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1776
Neisseria gonorrhoeae antimicrobial susceptibility testing: application of traditional agar dilution to a high-throughput 96-well microtiter assay
Published 2025-07-01“…Both 96-well microtiter assays demonstrated no major errors for any antimicrobial, with some minor errors with azithromycin and consistent minor errors with gentamicin. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs
Published 2025-06-01“…ResultsThe training and prediction results indicate that the TCN-LSTM-SVM model yielded mean absolute errors (\begin{document}$ {E}_{{\mathrm{MA}}} $\end{document}) ranging from 56.02 m3/h to 129.89 m3/h, mean absolute percentage errors (\begin{document}$ {E}_{{\mathrm{MAP}}} $\end{document}) from 3 % to 7 %, root mean square errors (\begin{document}$ {E}_{{\mathrm{RMS}}} $\end{document}) from 82.60 m3/h to 162.61 m3/h, and coefficients of determination (\begin{document}$ {R}^{2} $\end{document}) from 0.81 to 0.98 based on the training, validation, and test sets. …”
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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam
Published 2017-09-01“…So that the total calculation errors in estimating of reservoir volume at different levels in these methods was 0.25, 14.7 and 17 (percent) respectively. …”
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