Showing 12,461 - 12,480 results of 14,501 for search 'research (errors OR error)', query time: 0.27s Refine Results
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    Sex-based differences in Jumping to Conclusions: a multidimensional analysis of first-episode psychosis by Luciana Díaz-Cutraro, Marina Verdaguer-Rodríguez, Helena García-Mieres, Marta Ferrer-Quintero, Raquel López-Carrilero, Carol Palma-Sevillano, Maria Lamarca, Victoria Espinosa, Mara Luisa Barrigón, Fermín González-Higueras, Esther Pousa, Eva Grasa, Ester Lorente-Rovira, Alfonso Gutiérrez-Zotes, Ana Barajas, Isabel Ruiz-Delgado, Jordi Cid, Steffen Moritz, Julia Rico, Julia Sevilla-Llewellyn-Jones, Josep Maria Haro, Spanish Metacognition Group, Susana Ochoa

    Published 2025-04-01
    “…Abstract Jumping to conclusions (JTC) bias is a hallmark cognitive bias in psychosis that involves hasty decision-making with limited evidence. Previous research has shown links between JTC and neurocognitive (NC), social cognitive (SC), metacognitive (MC), and clinical (CV) variables, but sex-based differences in these relationships remain understudied. …”
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  4. 12464
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    Development of a graphical user interface for visualizing solid-state crystal parameters from XRD data and the Cramer-Cohen algorithm for sustainable material management by Maulana Ardi, Irzaman, Wahjuni Sri, Priandana Karlisa

    Published 2025-01-01
    “…Validated against reference data, the tool achieves errors ranging from 0.03% to 2.88%. By bridging advanced material characterization with sustainable development goals, this GUI democratizes crystallographic analysis for interdisciplinary teams, empowering researchers in energy harvesting, catalysis, and eco-friendly material design. …”
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  6. 12466

    Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

    Published 2025-09-01
    “…While all models demonstrated excellent predictive accuracy, the GPM model provided superior results among black-box tools, exhibiting a mean absolute percentage error (MAPE) of 0.99 %. Furthermore, the GP equation achieved an overall MAPE of 0.65 % for the CDDT data. …”
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  7. 12467
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    An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

    Published 2025-01-01
    “…Proceeding further, ANN model showed exceptional accuracy in water quality prediction, highlighting the dependability and accuracy of errors in the current work, that includes MAE, MSE, MAD, and RMSE, but also record highest in the validation of goodness-of-fit metrics (NSE and R2). …”
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  9. 12469

    Adaptive surge control of variable-mass unmanned surface vehicle based on super-twisting sliding mode observation by Zhaokun YAN, Guanyu YANG, Hongdong WANG

    Published 2025-02-01
    “…Compared to the traditional sliding mode observer, the average observation errors of the draught and mass are significantly reduced by 43.75% and 43.76%, respectively. …”
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    Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China by Shaoning Lv, Derek Houtz, Shiyuan Li, Yin Hu, Jing Zhang, Dongli Wu, Lei Jin, Jun Wen

    Published 2024-12-01
    “…Employing the brightness temperature data as input, the CMEM-inspired schemes achieve soil moisture retrieval with an RMSE (Root Mean Square Error) of approximately 0.06 cm3/cm3, whereas the regression model between retrieved and observed data manifests a linear bias. 2. …”
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    Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model by Maofa Wang, Bingcheng Yan, Yibo Zhang, Lu Zhang, Pengcheng Wang, Jingjing Huang, Weifeng Shan, Haijun Liu, Chengcheng Wang, Yimin Wen

    Published 2024-10-01
    “…We evaluate Stacked Long Short-Term Memory (LSTM), Transformer, and Support Vector Regression (SVR) models, with Stacked-LSTM showing the best performance in terms of accuracy and stability, as measured by the Root Mean Square Error (RMSE). To improve robustness, Gaussian noise was introduced, particularly enhancing predictions for zero-precipitation days. …”
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  20. 12480

    Four-Wavelength Thermal Imaging for High-Energy-Density Industrial Processes by Alexey Bykov, Anastasia Zolotukhina, Mikhail Poliakov, Andrey Belykh, Roman Asyutin, Anastasiia Korneeva, Vladislav Batshev, Demid Khokhlov

    Published 2025-05-01
    “…The developed method is validated through testing using a blackbody source, demonstrating a mean relative temperature error of 1%. Practical application of the method is demonstrated through temperature mapping of a tungsten lamp filament. …”
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