Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties by Chengcheng Xu, Jingyi Huang, Alfred E. Hartemink, Nathaniel W. Chaney

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A Point Cloud Registration Method Based on Point-to-Triangulation Estimation for Optical Window Free-Form Surfaces Testing by Coordinate Measuring Machine by Chuanchao Wu, Junjie Shi, Taorui Li, Haijiao Huang, Fudong Chu, Siyuan Jiang, Longyue Li, Chiben Zhang

“…Further, in the experiment, the PV surface error was reduced from 27.3 μm to 6.9 μm, equivalent to a reduction of 3.95 times. …”
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Application of machine learning with gradient descent method for load forecasting: a performance analysis by Saroj Kumar Panda, Manoj Kumar Panda

“…Based on the choice of input sample and root mean square error (RMSE), the DNN comparison is carried out. …”
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RECONFIGURATION OF THE AIRCRAFT INTEGRATED CONTROL SYSTEM REGARDING CONTROL CONSTRAINTS UNDER ACTUATOR FAILURES by A. M. Kulchak, V. V. Kosyanchuk, E. Yu. Zybin

“…This allows for a multistep consistent reduction in power and increasing in error of reconfiguration, until an acceptable solution is obtained. …”
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Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

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Study on the Meshing Characteristic of Parallel Axis Line Gear by Chen Yangzhi, Zhu Anshi, Lü Yueling

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Bias-Reduced Localization for Drone Swarm Based on Sensor Selection by Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang

“…Simulation results show that the randomized SDP algorithm proposed in this paper has the optimal localization effect, and moreover, the bias reduction scheme proposed in this paper can make the localization error of the drone swarm reach the Cramér–Rao Lower Bound (CRLB) with a low signal-to-noise ratio (SNR).…”
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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

“…Furthermore, the full-scale pulling experiments conducted to validate the algorithm revealed substantial reductions in errors between bending strains computed by the optimized solving algorithm and those detected by a strain gauge at 79.6%, 79.4%, and 76.0%, respectively. …”
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Analysis of the Effect of Three-Dimensional Topology Modification on Temperature Field and Thermal Deformation of Internal Helical Gears Pair by Gaowei Yao, Gang Liu, Jianxin Su, Hongbin Yang, Mingxuan Jin, Xiao Wei

“…Experimental validation confirms these improvements, showing an average 62.35% reduction in transmission error. These findings establish a novel methodology for high-precision gear design while providing critical theoretical foundations for planetary gear systems, ultimately leading to significant improvements in both transmission accuracy and operational lifespan.…”
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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. …”
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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…The feature extraction results after dimensionality reduction were input into N-GRU for prediction and reconstruction error was obtained, then the state evaluation was realized by setting the alarm threshold. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…Results show that PD-PINN reduces the total three-dimensional root mean square error from 0.7178 meters to 0.1352 meters, an 81.2% improvement over classical methods. …”
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A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electrici... by Xinfu Pang, Wen Jia, Haibo Li, Qingzhong Gao, Wei Liu

“…Secondly, a bi-objective optimization model was formulated, considering load mean square error and user charging cost. A heuristic method was employed to handle constraints related to system energy balance and equipment output. …”
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Research on the Time-varying Meshing Stiffness Algorithm of Spur Gears with Large Tooth Number Cracks by Jiao Wei, Xu Kejun, Qin Haiqin

“…According to the degree of cracks, the modeling suggestion for the effective tooth thickness reduction limit line is given: when the crack level is low, the effective tooth thickness reduction limit line should be a straight line; when the crack level is high, using a straight line will cause significant errors. …”
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A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

“…ABSTRACT The success of robot‐assisted pelvic fracture reduction surgery heavily relies on the accuracy of 3D/3D feature‐based registration. …”
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Does electrification affect rural poverty and households’ non-food spending? Empirical evidence from western Indonesia by Ikhsan Ikhsan, Khairul Amri

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Enhancing underwater acoustic communication networks with RIS: Precise performance analysis over κ − μ shadowed fading distribution by Moloy Kumar Ghosh, Mostafa Zaman Chowdhury

“…To evaluate these impacts, the novel closed-form expressions of three essential performance metrics: outage probability (OP), average bit error rate (ABER), and average channel capacity (ACC) are derived in terms of Meijer-G function. …”
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A new method for describing the change of the laser beam axis trajectory in the Anderson differential cuvette to measure the refractive index of liquids by V.V. Davydov, D.S. Provodin, A.A. Gol’dberg, I.D. Kochetkov

“…Directions of research for the further error reduction are outlined, that would allow the developed refractometer design to be used in scientific research and as a verification scheme in metrology.…”
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А quantitative estimate of uncertainty of the random scattering of the average clearance and interference in mating by N. N. Chigrik

“…Actual dimensions of suitable parts made according to the same drawings can fluctuate between the given limit dimensions, and the clearances and interferences in the conjugations — depending on the random scattering of the actual dimensions with the deviation of the shape of the real surface or profile. The error of the shape of the real surface affects the probabilistic estimate of the results of sorting parts, leads to uncertainty in the size of the maximum of the material, a random scattering of the average clearance and interference in the mating and, as a consequence — the uncertainty to use all that come in for assembly of parts. …”
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Granger Test and ARDL Model for the Socio-Economic Challenges Investigation: Public Expenditure Components, Economic Growth, and Inflation by Fatma Zohra Hamadouche, Bekhta Hamadouche, Malak Mohammad Ghandour, Aicha Hamadouche, Brahim Boutrig

“…The error correction term (-0.75) highlights a strong adjustment mechanism, with deviations from long-term equilibrium corrected within approximately 16 months. …”
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