Adaptive finite-time synergetic control for flexible-joint robot manipulator with disturbance inputs by X. C. Nguyen, D. T. Le

“…The aim of this study is to use finite-time synergetic controller to ensure the reduction of system tracking error, avoid vibration and achieve steady state in a certain time period. …”
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Service-Life Study of Polycarbonate Outdoors Using Python with Incomplete Data by Jiangfeng An, Duncheng Peng, Xuejie Zhou, Jun Wu, Penghua Zheng

“…The results indicated that (1) the degradation of PC tensile properties is mainly affected by the experimental period (76.37%), whilst the effect of the environmental or pollutant factors on the degradation is less pronounced (23.63%); (2) the classification accuracy of the trained model on the training set is 91% (91/100), and on the testing set is 72.13% (44/61); and lastly, (3) it is inferred from the error analysis of the classification results that the performance change of polycarbonate in Qionghai and Wuhan is characterized by an initial reduction followed by a slight improvement. …”
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Capillaries in the Brain Microcirculatory Bed in the Acute Period of Experimental Brain Injury by V. Ye. Klimenko, M. A. Moldovanov, A. V. Poleshchuk, N. A., Andreyeva, T. V Balashova, K. A. Drozdov, I. V Dyuizen, V. B. Shumatov

“…The findings were processed by the variation statistical method, by determining the arithmetic mean, the standard error of the arithmetic mean, and the test of significance. …”
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Hyperelastic and viscoelastic properties of recycled rubber material – experimental and fem characterization study by Juan S. Rodriguez-Piedrahita, Liseth A. Muñoz-Gutierrez, Ingrid E. Madera-Sierra, Diego D. Pérez-Ruiz, Orlando Cundumí-Sanchez

“…The methodology involved characterizing an RR mix through multiple deformation modes (uniaxial compression and tension, simple shear, creep, and relaxation). Using an iterative error reduction method that considered all modes simultaneously, the Bergström-Boyce model achieved an average R2 value of 0.92 for the RR matrix alone. …”
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Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments by Haibo Wang, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li, Wenjing Zou

“…This research is able to provide a useful reference for preventing and reduction of human error caused by the cognitive load during flight missions. …”
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Nonlinear Adaptive Fuzzy Hybrid Sliding Mode Control Design for Trajectory Tracking of Autonomous Mobile Robots by Yung-Hsiang Chen

“…The stability of the closed-loop nonlinear system is rigorously established through the Lyapunov theory, guaranteeing the asymptotic convergence of tracking errors. Comprehensive simulation studies conducted under severe conditions with up to 60 percent model uncertainty confirm the superior performance of the proposed method compared to classical SM control. …”
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Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…Due to the construction damage of high-density polyethylene film (HDPE) during the early stages of landfill construction and missed or faulty welding, this paper proposes a method based on the synchronous characteristic temperature differences between defective and intact areas of HDPE film. …”
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Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Finally, the model is formulated as a mixed-integer linear programming problem and validated through case studies, demonstrating (1) an 8.03% reduction in the frequency integral time absolute error (ITAE) with only a 2.1% increase in economic cost compared to single-objective approaches, while (2) maintaining maximum frequency deviation (MFD) < 0.5 Hz during disturbances.…”
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Dynamic Aggregation and Augmentation for Low-Resource Machine Translation Using Federated Fine-Tuning of Pretrained Transformer Models by Emmanuel Agyei, Xiaoling Zhang, Ama Bonuah Quaye, Victor Adeyi Odeh, Joseph Roger Arhin

“…Due to their heavy reliance on high-resource data, traditional methods frequently fall short, underserving low-resource languages. …”
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Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System by Cunliang Ye, Yunlong Wang, Yongfu Wang, Yan Liu

“…Numerical simulations and experiments have shown that the proposed method provides a 39.16% better root mean squared error (RMSE) score than traditional backstepping control, and it achieves good estimation performance for angles, angular velocity, and unknown disturbances.…”
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Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Hammad Alotaibi, Ahmed Refaie Ali

“…The nonlinear partial differential equations are spatially discretized with the finite element method, while temporal derivatives are addressed using a backward implicit Euler scheme. …”
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Aspect-Oriented Approach of Non-Functional Requirements for Embedded System-Based IoT Applications by Anirban Bhar, Sabnam Sengupta, Sankhayan Choudhury

“…By leveraging context primitives and behavior functions aligned with standards like OSEK OS, we address IoT challenges such as real-time criticality and resource scarcity Validated across a real-time audio switch and simulated FreeRTOS environments, our method outperforms traditional Java designs, cutting memory usage by 20% (24.25% to 20.01%) and CPU utilization by 9% (44% to 40%), with a 50% runtime reduction in critical tasks (e.g., <inline-formula> <tex-math notation="LaTeX">$92.03\mu $ </tex-math></inline-formula>s to <inline-formula> <tex-math notation="LaTeX">$46.19\mu $ </tex-math></inline-formula>s). …”
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Reduced Complexity Initial Synchronization for 5G NR Multibeam LEO-Based Non-Terrestrial Networks by Ashish Kumar Meshram, Sumit Kumar, Jorge Querol, Stefano Andrenacci, Symeon Chatzinotas

“…We conducted extensive simulations to assess the performance of the S- and Ka-bands under the NTN channel model and validated it with the corresponding analytical expressions conditioned on satellite trajectory uncertainty and beam-pointing error. Our method ensures that the probability of PSS detection remains above 90% while maintaining a false alarm rate of 1% at a Signal-to-Noise Ratio (SNR) as low as &#x2212;6 (dB) if the standard deviation of the satellite trajectory and beam-pointing errors are within 5 (km) and 0.05&#x00B0;, respectively.…”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…By applying the stacking ensemble learning method, the maximum prediction accuracy improves by up to 25.77%. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…Specifically, on the DS1 dataset, the proposed model achieved a 17.6% reduction in Mean Squared Error (MSE) and a 9.2% reduction in Mean Absolute Error (MAE).DiscussionThese findings confirm that ACSAformer not only improves predictive accuracy and robustness but also offers better computational efficiency, showcasing its potential for application in complex spatiotemporal tasks such as crime forecasting.…”
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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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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…Experimental validation on NH₃-N datasets from the SBR system reveals that the proposed model significantly outperforms existing advanced methods in terms of root mean squared error (RMSE), mean absolute error (MAE), and coefficient of determination (R²). …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Conclusion: The increase in the correlation coefficient and the reduction of the mean error deviation in the ANFIS method compared to the linear multivariate regression show that the ANFIS method is more successful in estimating the amount of soil CS under the effects of various factors in the studied land use. …”
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Are Junior Residents Accurate at Predicting Fetal Weight? An Analysis of Junior Residents' Performance of Estimated Fetal Weight Using Ultrasound and Leopold's Maneuver by Kimberly Huynh, Alicia Lunardhi, Karren Lewis, Trevor Pickering, Hindi E. Stohl

“…Maternal body mass index and actual BW were associated with absolute percentage estimation error. After adjusting for these variables, there was a statistically significant decrease in error between PGY1 and PGY2 for Leopold's method in term births; ultrasound (term and preterm) showed more modest reductions in error during PGY2. …”
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Adaptive Nonlinear Proportional–Integral–Derivative Control of a Continuous Stirred Tank Reactor Process Using a Radial Basis Function Neural Network by Joo-Yeon Lee, Gang-Gyoo Jin, Gun-Baek So

“…For disturbance changes, the proposed method reduced the peak magnitude (<i>M_peak</i>) by 4.9%, recovery time (<i>t_rcy</i>) by 23.6%, and integral absolute error by 16.2%. …”
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