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APPLICATION OF EXTREME LEARNING MACHINE METHOD ON STOCK CLOSING PRICE FORECASTING PT ANEKA TAMBANG (PERSERO) TBK
Published 2023-06-01“…This method is believed to be able to produce more accurate forecasting results with a low level of forecasting error. In Indonesia, stocks are one of the most popular investments for investors. …”
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Applicability Study of Air Side Heat Transfer Model of Fin-tube Heat Exchanger in Low Ambient Pressure
Published 2020-01-01“…The applicability of popular air-side heat transfer models of a flat fin-tube heat exchanger with high prediction accuracy are summarized in this paper. …”
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Slow Pyrolysis of Waste Cow Bone for Biochar Production and Its Application in Copper Removal From Acidic Solutions
Published 2024-01-01“…The adsorption capacity of the bone char for synthetic heavy metal copper in aqueous solutions was evaluated, revealing that the experimental data indicated the best fitting of the FL-PFO kinetic model and the Toth isotherm model, both demonstrating high correlation coefficients and minimal error values. These findings indicate that cow bone char has significant potential as an effective adsorbent for removing heavy metals from wastewater, offering a sustainable solution for managing biowaste and treating water pollutants.…”
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Selecting indicator-diatom taxa and its application for simplifying trophic diatom index for biological water quality assessment
Published 2025-03-01“…The criterions were verified using statistic assessment method as below similarity, paired sample t-test and root mean square error (RMSE). Species excluded from indicator-diatom taxa were identified two methods. …”
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Critical Nitrogen Dilution Curve for Diagnosing Nitrogen Status of Cotton and Its Implications for Nitrogen Management in Cotton–Rape Rotation System
Published 2025-05-01“…The validation using 2022 data yielded a root mean square error (RMSE) of 0.21% and a normalized RMSE (nRMSE) of 13.40%, confirming the model’s robustness. …”
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Critical values for six Dixon tests for outliers in normal samples up to sizes 100, and applications in science and engineering
Published 2018-04-01“… In this paper we report the simulation procedure along with new, precise, and accurate critical values or percentage points (with 4 decimal places; standard error of the mean ≤0.0001) for six Dixon discordance tests with significance levels α = 0.30, 0.20, 0.10, 0.05, 0.02, 0.01, 0.005 and for normal samples of sizes n up to 100. …”
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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers
Published 2025-06-01“…The regular structure not only enables these performance advantages but also facilitates future integration of error-detection and masking techniques for comprehensive side-channel protection. …”
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Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy)
Published 2025-08-01“…</p> <p>To extend the application to large areas, the uncertainties linked to the spatial variability of slope geomorphologic characteristics and hydrometeorological variables were considered as random errors. …”
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RETRACTED ARTICLE: A fixed support method for cryogenic silicon cavities of ultra-stable lasers for space applications
Published 2025-01-01“…The mounting process was then explored to keep its support angle mounting error within 40′. Next, the simulator was vibration tested, and the deviation of the cavity after the test was within 10″. …”
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Evaluating 3D Hand Scanning Accuracy Across Trained and Untrained Students
Published 2025-07-01Get full text
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Simulation of Self-Occlusion Virtual Dataset Method for Robust Point Matching Algorithm, With Applications to Positioning of Guide Vanes
Published 2025-01-01“…Additionally, in real industrial scenarios, manually obtaining the real dataset is time-consuming, labor-intensive, and error-prone. To address these issues, this paper proposes a virtual simulation method based on the CAD model of the workpiece to set up a virtual camera so that a large number of near-real datasets can be generated quickly. …”
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