Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts by Xiaoyan Zhang, Hongli Wang, Xiang-Yu Huang, Feng Gao, Neil A. Jacobs

“…This study evaluates the impact of Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations on regional 24-hour forecast error reduction over the Continental United States (CONUS) domain using adjoint-based forecast sensitivity to observation (FSO) method as the diagnostic tool. …”
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Adaptive delta modulation method for arbitrary adaptation coefficients in the sensor network of the mobile ECG monitoring by О. В. Тимченко, В. І. Лозинський

“…However, the optimality of its value for reducing the quantization error of the adaptive delta encoder was not considered. …”
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Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors by Felipe S. Guedes, Nady Rocha, Alvaro M. Maciel, Alfeu J. Sguarezi Filho

“…This reduction is applied in a two-level converter, reducing the test to 4 or 2 active vectors. …”
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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…Conversely, an increase in speed led to a reduction in rut depth, particularly during the initial pass. …”
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Isotherms and thermodynamic properties of water adsorption in ‘Cumari-do-Pará’ pepper seeds by Karen C. Rodrigues, Hellismar W. da Silva, Isneider L. Silva, Samuel G. F. dos Santos, Daniel P. da Silva, Renato S. Rodovalho

“…The Chen-Clayton model is the one that best represents the water adsorption isotherms in ‘Cumari-do-Pará’ pepper seeds under the studied conditions, with 9.94% mean relative error, 0.40 mean estimated error and random distribution of residuals. …”
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Genetic Programming and Standardization in Water Temperature Modelling by Maritza Arganis, Rafael Val, Jordi Prats, Katya Rodríguez, Ramón Domínguez, Josep Dolz

“…This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.…”
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Generalized Sampling Theory in the Quaternion Domain: A Fractional Fourier Approach by Muhammad Adnan Samad, Yuanqing Xia, Nader Al-Rashidi, Saima Siddiqui, Muhammad Younus Bhat, Huda M. Alshanbari

“…We illustrate the practical utility of the QFRFT-based GSE framework with a case study on signal denoising, demonstrating its effectiveness in noise reduction with the Mean Squared Error (MSE), highlighting the improvement in signal restoration.…”
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Low-Complexity Architecture of Orthogonal <italic>N</italic>-Continuous Precoding for Sidelobe Suppression of OFDM Signals and Its Analysis by Hikaru Kawasaki, Fumihide Kojima, Takeshi Matsumura

“…In conclusion, the proposed scheme drastically reduces the conventional precoding&#x2019;s complexity to a level matching that of a fast Fourier transform for OFDM and provides 99 % storage overhead reduction. All its inherent advantages are maintained such as fast, smooth, and symmetrical spectral decay of band-edges, and ideal characteristics of error rate and peak power.…”
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SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting by Kamran Hassanpouri Baesmat, Farhad Shokoohi, Zeinab Farrokhi

“…This methodology, termed SP-RF-ARIMA, is evaluated against existing approaches; it demonstrates more than 40% reduction in mean absolute error and root mean square error compared to the second-best method.…”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…Experimental results demonstrate the effectiveness of the proposed method, achieving a coefficient of determination (R2) of 0.996, a mean absolute error of 0.146%, and a root mean square error of 0.207%. …”
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Radiative heat and mass transfer significance through a permeable vertical plate with rotational effects: An artificial approach using the Levenberg–Marquardt algorithm by R. Kavitha, Kavikumar Jacob, Ahmad Haji Zadeh, Nagarajan Deivanayagampillai

“…Model accuracy is validated through mean squared error graphs, regression analysis, and error histograms, demonstrating reliable fluid dynamics predictions under varying conditions.…”
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Analysis of corn price forecast in China based on Lasso-XGBoost-SHAP by Wenming Cheng, Fangyuan Li

“…Results demonstrate that the Lasso-XGBoost model outperforms traditional linear models (LM) and other algorithms, including SVM (Support Vector Machine) and MLP (Multilayer Perceptron), with root mean squared error (RMSE) of 0.094, coefficient of determination (R2) of 0.973, mean absolute error (MAE) of 0.072, representing a 7.84% reduction in RMSE compared to standalone XGBoost. …”
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Spoofing Evident and Spoofing Deterrent Localization Using Ultrawideband (UWB) Active&#x2013;Passive Ranging by Haige Chen, Ashutosh Dhekne

“…Our experimental evaluation shows a 30-cm <inline-formula><tex-math notation="LaTeX">$\text {75}{\text{th}}$</tex-math></inline-formula> percentile error for ToF-based honest tag localization and a submeter error for TDoA-based localization for spoofing tags. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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A Sparse CoSaMP Channel Estimation Algorithm With Adaptive Variable Step Size for an OFDM System by Ning Xiaoling, Chen Yangyi, Zhang Linsen

“…Additionally, the proposed algorithm was superior over the SAMP algorithm in terms of reconstruction, mean square error (MSE), and bit error ratio (BER).…”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

“…The proposed model demonstrates exceptional performance, achieving accuracy rates ranging from 98.27% to 100%, with error rates between 1.73% and 0% across multiple bridge damage datasets. …”
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A modification design method for the angular misalignment of the spline drum shaping by YUAN Xichuan, LIU Qi, TANG Jinyuan, LI Yuan, SU Hui

“…Finite element simulation and test verification were subsequently conducted to validate the accuracy and effectiveness of this method.ResultsThe analytical results demonstrate that regarding computational efficiency, the proposed method reduces finite element simulations from 6-10 iterations required by traditional trial-and-error approaches to a single simulation for determining optimal modification, achieving over 80% efficiency improvement; in performance enhancement, the optimized modification demonstrates 30.22% reduction in contact stress and 50% decrease in maximum tooth wear volume under misalignment conditions, effectively eliminating edge contact while significantly extending service life.…”
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Denoising of Images using Wavelet Transform by M. Koteswara Rao, G. Chandra Reddy, K. V. Rama Rao

“…Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. …”
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Regional variation in cerebral oxygen metabolism during acute severe hypoxia with temporary cognitive impairment by Daehun Kang, Koji Uchida, Clifton R. Haider, Norbert G. Campeau, Myung-Ho In, Erin M. Gray, Joshua D. Trzasko, Kirk M. Welker, Jeffrey L. Gunter, Matt A. Bernstein, Max R. Trenerry, David R. Holmes, III, Michael J. Joyner, Timothy B. Curry, John Huston, III, Yunhong Shu

“…These regions exhibited δCMRO2 reductions exceeding the hemispheric average (-9.6 ± 7.9 %) and were associated with increased commission errors during the Go/No-Go task, reflecting impaired inhibitory control and sustained attention. …”
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Impact of CO2-water-coal on enhanced coalbed methane recovery by CO2 injection in Huainan coalfield by Helong ZHANG, Shiqi LIU, Yuchen TIAN, Wenkai WANG, Shuxun SANG, Sijian ZHENG, Bing LI, Yongchun CHEN

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