Enhanced load frequency regulation in microgrids with renewable energy sources and electric vehicles by Imran Khan, Suheel Abdullah Malik, Amil Daraz, Baitullah Bareer

“…Simulation results show that the (I-P) cascaded PDN controller significantly outperforms existing controllers, such as PID, and PI-based models, by reducing frequency deviations, improving settling time, and minimizing overshoot and error indices. There is notable 77% reduction in overshoot (OSH) and 52% decrease in undershoot (USH) in tie-line power variations. …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…The results reveal that as the number of nodes in the hidden layer increases, the model's Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…Performance evaluation is conducted using metrics like Mean Squared Error (MSE), Mean Absolute Error (MAE), and Average Distance Error to compare the models. …”
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Advanced Numerical Validation of Integrated Electrochemical-Thermal Models for PCM-Based Li-Ion Battery Thermal Management System by Mahdieh Nasiri, Hamid Hadim

“…Incorporating Capric acid (with a phase transition range of 302–305 K) as the PCM, the thermal management model demonstrates significantly improved accuracy over existing models in the literature. Notable error reductions include a 78.3% decrease in the Mean Squared Error (0.477 vs. 2.202), a 53.4% reduction in the Root Mean Squared Error (0.619 vs. 1.483), and a 55.5% drop in the Mean Absolute Percentage Error. …”
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UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network by Chaochuan Jia, Can Tao, Ting Yang, Maosheng Fu, Xiancun Zhou, Zhendong Huang

“…In LOS conditions, the ARO-BP model achieves a localization error of 6.29 cm, representing a 49.48% reduction compared to the 12.45 cm error of the standard BPNN. …”
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A roll attitude determination method based on the jamming energy of GEO satellites and an LSTM neural network by Rundong Li, Lu Feng, Peng Wu, Xiangling Deng, Haonan Shi

“…After real-time roll attitude testing of a rotating vehicle using different methods, the proposed method is found to be superior to the traditional least squares (LS) method, with a 48.97% reduction in the mean self-error and a 48.20% reduction in the mean Hall standardized error for the determined roll angles. …”
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A Study of Forced Vibrations with Nonlinear Springs and Dry Friction: Application to a Mechanical Oscillator with Very Large Vibrating Blades for Soil Cutting by Dario Friso

“…Measuring the maximum blade displacement compared with the calculated one provided a good accuracy of the mathematical modeling, resulting in a mean error of 5.6% and a maximum error of 7.2%.…”
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest. by Ibrahim Al-Shourbaji, Pramod H Kachare, Abdoh Jabbari, Raimund Kirner, Digambar Puri, Mostafa Mehanawi, Abdalla Alameen

“…The proposed CO-RF model outperforms others, achieving a low MAE of 0.0365, MSE of 0.0074, and an R2 of 0.9251 on the first dataset, and an MAE of 0.0469, MSE of 0.0032, and R2 of 0.9868 on the second dataset, demonstrating significant error reduction.…”
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A Non-Rigid Three-Dimensional Image Reconstruction Algorithm Based on Deformable Shape Reliability by Haiying Chen, Syed Atif Moqurrab

“…Our experimental results on 3D image sequence reconstructions demonstrate significant error reduction, underscoring our model’s credibility, robust reliability, and minimal re-projection error.…”
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Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age by Simon Ball, Felicity Evison, Laurie Lucas, Tanya Pankhurst, Richard Baker, Suzy Gallier, Jamie J Coleman, Ian Young, Anwar Shah, Steve Ryan, Helen Gyves, David Rosser, Chris Ragdale, Louise Denner, Laura Rathbone, Deborah McKee, Jolene Atia, Mark Garrick

“…This was an extension to the existing hospital wide digital health system. We evaluated error reduction, time-savings and the costs associated with conversion from paper to digital records. …”
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Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…PG-SIM provides uncertainty and confidence maps corresponding to the imaging results, allowing biologists to simultaneously and quantitatively identify potential imaging errors without any reference. Furthermore, by leveraging the strong cognition ability of GRL to precisely learn the hierarchical representations of the SIM imaging process, PG-SIM itself also achieves a significant uncertainty reduction compared to current methods, overcoming the constraints of unreliability on the practical application of SIM. …”
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Simple Polynomial Reissner–Mindlin Shell Model and Its Application in Efficient Analysis of Complex Underground Structures by Jingxu Chen, Jihui Huang, Yifeng Peng

“…As verification, three engineering cases are modeled and computed. The errors of typical displacements and bending moments from the SP R–M shell model and the IG R–M shell model are no more than 3%, while the errors of the results from the FE R–M shell model and the IG R–M shell model are around 20%, which reveals the feasibility and advantages of the SP R–M shell model.…”
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Reducing inappropriately suspended VTE prophylaxis through a multidisciplinary shared learning programme and electronic prompting by Christopher Felix Brewer, Dorothy Ip, Emma Drasar, Poureya Aghakhani

“…With ongoing teaching and integration of prescribing software alerts, this reduction in VTE prescribing errors could be sustained.…”
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Obliczanie Sił Krytycznych dla Sprężystych Prętów Niepryzmatycznych Metoda Interpolacji Częściowej by M. Życzkowski

“…This enables a considerable reduction of the final interpolation error ba(x). The paper gives an example of the evaluation of the error for the ordinary and the accelerated partial interpolations Eqs. (8.17) and (8.21), respectively and presents formulae for the coefficients of basic approximations assumed in the form of a polynomial, (9.3), (9.7), and (9.9). …”
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Design and Research on Anti-assembly Drop of Integrated Fast Reactor Cantilever Transfer Mechanism by LIU Zhifang, GUO Xiaoxian, YU Tuanjie, ZHANG Wei, WANG Haozhong

“…Based on strength and fatigue calculations, the probability of gripping glove failure is very low. Process errors can be avoided by fully controlling the refuelling system and implementing necessary interlocks. …”
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EDUCATION, LABOUR PRODUCTIVITY AND INCOME INEQUALITY IN NIGERIA by SHARIMAKIN A., OSENI M.S., ADEGBOYE A.C.

“…The cointegration and error correction methodology is adopted in the empirical analysis. …”
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Simulation of Bimetallic Bush Hot Rolling Bonding Process by Yaqin Tian, Qingxue Huang

“…The simulation error is not more than 8%.…”
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Inherent thermodynamic performance assessment of a variable refrigerant flow system under transient cooling load: A case study of an eco-villa by Muhammad Reshaeel, Mohamed I. Hassan Ali

“…A mathematical model exhibiting a coefficient of determination of 0.89, a mean absolute error of 0.04, and a mean square error of 0.01, has been developed in MATLAB to evaluate system behavior. …”
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Evaluation of Near‐Surface Specific Humidity and Air Temperature From Atmospheric Infrared Sounder (AIRS) Over Oceans by Weikang Qian, Yixin Wen, Shang Gao, Zhi Li, Jesse Kisembe, Haotong Jing

“…The Atmospheric Infrared Sounder (AIRS) provides global estimates of near‐surface AT and SH estimates, with continuous improvements in accuracy leading to significant reductions in error rates. However, existing studies have not systematically validated AIRS near‐surface products in both temporal and spatial perspectives, especially over oceans. …”
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A Path Analysis—Generalized Method of Moments Based on a Nearest-Neighbor with Observed Variable Model for Developing New Scenario Policies to Reduce Greenhouse Gas Emissions from... by Pruethsan Sutthichaimethee, Phayom Saraphirom, Chaiyan Junsiri

“…This model incorporates white noise and addresses gaps in previous models, ensuring minimal forecasting errors. The findings highlight the need for the government to implement the most suitable policy scenario to achieve sustained reductions in agricultural waste over the next two decades (2025–2044). …”
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