Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

“…The robust optimization results show that in the 33-bus network, the system remains resilient to prediction errors under the worst-case uncertainty scenario, with a 44.53% reduction in production and a 22.18% increase in network demand for a 30% uncertainty budget. …”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…For the best case, the error in forecasting of a photovoltaic plant generation an hour ahead was 9 %.…”
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Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression by Hui Xu, Hui Xie, Guangxian Li

“…Experimental results demonstrate that the proposed method reduces the mean absolute error (MAE) by 47.6% and improves the signal-to-noise ratio by 15.4% compared to traditional filtering approaches. …”
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Prediction and analysis of thermal drift in large-scale tooling reference points under non-uniform temperature field by LI Yan, ZHANG Shang'an, WANG Shouchuan, WEI Hongyang, LI Shuanggao, HOU Guoyi

“…The results show that the average relative errors of the simulation results are below 18%, and the average relative errors of the BP neural network results are below 26%, which can effectively improve the measurement field construction accuracy.…”
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Assessing effective mask use by the public in two countries: an observational study by Peter C Austin, Bory Kea, Bin Chen, Arshia P Javidan, Huong Nguyen, Alex Chang, Allen Li, Clare L Atzema, Ivona Mostarac, Dana Button, Lauren Wintraub, Raumil V Patel, Daniel Dongjoo Lee, Nathaniel P Latham, Eric A Latham, Patrick C M Brown, Rita D Somogyi, Sara Buerk, Tristen Zimmerman, Trevor Funari, Cameron Colbert

“…Subjects aged 81+ years (vs 31–65 years) and those on public transit and at the airport (vs stores) had higher odds of mask errors. Mask-wearers had a large reduction in adjusted mean number of breaches (rate ratio (RR) 0.19; 95% CI 0.17 to 0.20). …”
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Verificação das relações de Rateaux pelo emprego de um inversor de freqüência Verification of the relationships of Rateaux utilizing a frequency invertor by Aylton J. Alves, Luiz F. C. de Oliveira, Antônio M. de Oliveira

“…When the power consumption was evaluated using the relationships of Rateaux, the mean error in the reduction of power was 1.33 and 2.00% for 1500 and 1100 rotations min-1, respectively, which shows that the Rateaux relationships may be used for the estimation of manometric height, discharge and the power consumed from the characteristic curve obtained experimentally.…”
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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

“…Extensive evaluations on the nuScenes dataset demonstrate the effectiveness of MS-SLV, achieving a 12.37% reduction in average displacement error and a 7.67% reduction in final displacement error over state-of-the-art methods. …”
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ARIMA-Kriging and GWO-BiLSTM Multi-Model Coupling in Greenhouse Temperature Prediction by Wei Zhou, Shuo Liu, Junxian Guo, Na Liu, Zhenglin Li, Chang Xie

“…Across different prediction horizons (10 min and 30 min intervals), the GWO-BiLSTM model demonstrated superior performance with key metrics reaching a coefficient of determination (R²) of 0.97, root mean square error (RMSE) of 0.79–0.89 °C (41.7% reduction compared to the PSO-BP model), mean absolute percentage error (MAPE) of 4.94–8.5%, mean squared error (MSE) of 0.63–0.68 °C, and mean absolute error (MAE) of 0.62–0.65 °C, significantly outperforming the BiLSTM, LSTM, and PSO-BP models. …”
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Simulation of Ground Visibility Based on Atmospheric Boundary Layer Data Using K-Nearest Neighbors and Ensemble Model Algorithms by Ruolan Liu, Shujie Yuan, Duanyang Liu, Lin Han, Fan Zu, Hong Wu, Hongbin Wang

“…In the second fog event, the addition of atmospheric pollutant concentration data from the boundary layer further improved results (ensemble model: for VIS < 200 m, Schemes 2 and 3 had MAEs of 20.1 m, corresponding to a relative error of less than 10.1%, and 11.4 m, corresponding to a relative error of less than 5.7%, respectively). …”
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Investigating the accuracy of adjusting for examiner differences in multi-centre Objective Structured Clinical Exams (OSCEs). A simulation study of video-based Examiner Score Compa... by Peter Yeates, Gareth McCray

“…We replicated this 1000 times for each permutation to determine average error reduction and the proportion of students whose scores became more accurate. …”
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Modeling Mechanical Properties of Industrial C-Mn Cast Steels Using Artificial Neural Networks by Saurabh Tiwari, Seongjun Heo, Nokeun Park, Nagireddy Gari S. Reddy

“…The model provides an efficient alternative to costly experimental trials for optimizing C-Mn steels, with prediction errors consistently below 6% compared with 8–20% for traditional empirical methods. …”
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Year patterns of climate impact models' performance: Long-term simulation of rainfed spring wheat production using five crop models under various climate patterns by Funian Zhao, Qiang Zhang, Heling Wang, Kai Zhang

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Two-steps variance calibrated estimators with linear and non-linear constraints for mailed surveys with non-response by Ahmed Audu, Maggie Aphane

“…In the second step, the constants of proportionality are determined based on different objectives, such as bias reduction or minimum mean squared error. This paper thoroughly examined the theoretical and numerical properties of the proposed estimators. …”
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Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network by ZHANG Lifeng, LI Jing, WANG Zhi

“…In addition, the average relative error and root mean square error of reconstructed image are less than 0.36% and 0.85% respectively.…”
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齿轮修形参数对变速箱传动特性影响的研究 by 杨本洋, 褚超美, 汤海川, 缪国

“…Focusing on the vibration and noise of gear transmission,taking Masta software as the analysis platform,by simulating and computing the modification of main reduction gear of a transmission,the effect relations between change of modification parameters such as tip relief,barreling relief and crowning relief with characteristic of gear transmission is obtained.The optimum modification parameters are selected based on the study of the law of gear transmission error and max contact pressure.Noise test result shows that the squeal of the transmission is reduced effectively after gear modification.…”
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Dynamic order selection analysis in adaptive polynomial Kalman filtering: implementation and integration of sensor data and hybrid image processing for bio-inspired needle systems by Dileep Sivaraman, Branesh M. Pillai, Cholatip Wiratkapun, Jackrit Suthakorn, Songpol Ongwattanakul

“…Initial simulations showed that the standard APKF significantly outperformed traditional Kalman Filtering (KF), achieving an average reduction of 46.9% in Root Mean Square Error (RMSE), 57.8% in Mean Absolute Error (MAE), and 64.5% in Median Absolute Deviation (MAD). …”
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Research on Denoising of Bridge Dynamic Load Signal Based on Hippopotamus Optimization Algorithm–Variational Mode Decomposition–Singular Spectrum Analysis Method by Zhengqiang Zhong, Zhen Li, Jinlong Wang, Cong Tang, Yu Liu, Kaijun Guo

“…The simulation results show that compared with other methods, the root mean square error (RMSE), signal-to-noise ratio (SNR), mean square error (MSE), and mean absolute error (MAE) of the denoised signals achieve on average 16.22% reduction, 2.51% improvement, 62.02% diminution, and 43.74% decrease, respectively, across varying noise levels. …”
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Performance of M-QAM MIMO PNC Based on MRC and ZR Techniques by Alaa A. Yassin, Ebtihal H. G. Yousif, Rashid A. Saeed, Hashim Elshafie, Abdullah Alenizi, Hesham Alhumyani

“…The obtained result demonstrates the reduction of symbol error rate in addition to enhancement of the normalized throughput, capacity, and sum rate when increasing the number of antenna at the relay node.…”
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Data-Driven Prediction of Binder Rheological Performance in RAP/RAS-Containing Asphalt Mixtures by Eslam Deef-Allah, Magdy Abdelrahman

“…The nonlinear models achieved a 69% reduction in the root mean square error (RMSE) for rutting, a 37% reduction in the RMSE for fatigue cracking, and a 21% reduction in the RMSE for thermal cracking. …”
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基于小波包分析和改进自适应遗传算法的齿轮故障诊断 by 戚晓利, 潘紫微

“…The gear is one of the most important elements in the trainsmission system.Aiming at the fault diagnosis problem of gear,a new gear fault diagnosis method that based on wavelet packet analysis and improving adaptive genetic algorithm is put forward,and which is on the basis of synthesizing the advantages of wavelet-packet noise reduction,fuzzy logic,high-order BP neural network and improving adaptive genetic algorithm.The experimental results show that this method has advantage over the routine method in classification precision and training total error control.…”
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