Meta-analysis of Genetic Parameters for Productive and Reproductive Traits in Laying Hens by Maryam Sokhan, Sheida Varkoohi, Ali Hossein Piray

“…Also, the comparison of the standard error by meta-analysis of desired traits with the range of the standard error in different studies showed that the aggregation of the results of different studies has greatly reduced the standard error of all the genetic parameters for investigated traits, for example, the standard error for heritability of egg weight in the studies was in the range of 0.071-0.18, but by meta-analysis it was reduced to 0.004. …”
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A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…This paper employs a binary OA method for sensitivity analysis, optimizing feature selection by minimizing prediction error while retaining critical predictors through a penalty-based objective function. …”
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Force tracking in robotic control systems using an online work object stiffness hybrid impedance PI control approach by Hosham Wahballa, Abubker Ahmed, Jinjun Duan, Xiaohu Chen, Lei Weining

“…The OWPSIF approach dynamically generates an inverse signal to compensate for force errors and effectively reduce them to zero. Stability is analyzed using the Lyapunov direct method. …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

“…The results demonstrate that the proposed method improves predictive accuracy over the manufacturer’s power curve, achieving a reduction in error measurements of around 1%. …”
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GRVIO: Semantic-Aware Visual-Inertial Odometry for Ground Robot Platforms by Sangbum Lee, Hanyeol Lee, Chan Gook Park

“…Furthermore, experimental results validate that GRVIO outperforms state-of-the-art VIO methods relying solely on point features, achieving an average reduction of approximately 40% in position root mean squared error compared to MSCKF, thus highlighting its capability to impose effective measurements and enhance both robustness and accuracy for ground robots.…”
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STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS by Dimas Avian Maulana, A'yunin Sofro, Danang Ariyanto, Riska Wahyu Romadhonia, Affiati Oktaviarina, Mohammad Dian Purnama

“…The Geometric Brownian Motion (GBM) method forecasts stock prices. The data used in this study are closing stock price data from July 1, 2021 to August 31, 2021 taken from Yahoo! …”
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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Experimental results in both simulated and real-world conditions indicate that our method achieves a 4.5% reduction in normalized wavefront error (NWE) compared to ResNet34, suggesting improved performance over conventional deep learning models. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

“…The experimental results demonstrate that the system achieves a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>76</mn><mo>%</mo></mrow></semantics></math></inline-formula> reduction in positioning error compared to using data link measurements alone. …”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…To rigorously evaluate various dimensionality reduction (DR) methods, benchmark criteria were introduced, offering insights into the relative improvements in sensor array accuracy. …”
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Experimental and simulation study on fracture conductivity of acid-fracturing in Dengying Formation of Sichuan Basin by CHEN Xiang, WANG Guan, LIU Pingli, DU Juan, WANG Ming, CHEN Weihua, LI Jinlong, LIU Jinming, LIU Fei

“…The degree of fracture closure was analyzed using the Airy stress function and the complex variable method, integrated with the local cubic law and an acid fracturing model to create a numerical calculation method for evaluating the conductivity of acid-etched fractures. …”
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Wireless Sensor Networks for Urban Development: A Study of Applications, Challenges, and Performance Metrics by Sheeja Rani S., Raafat Aburukba, Khaled El Fakih

“…Additionally, the proposed method obtains 36%, 30%, 46%, 35%, and 32% reduction in energy consumption, computation cost, execution time, error rate, and computational overhead, respectively, compared to conventional methods.…”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…Therefore, under the premise of meeting performance requirements, the Kriging optimization method can significantly reduce the vibration displacement of the iron-core reactor, providing valuable guidance for its vibration reduction and optimization.…”
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Simulation of urban flooding using 3D computational fluid dynamics with turbulence model by Muhammad Waqar Saleem, Muhammad Rashid, Sajjad Haider, Mohiq Khalid, Amro Elfeki

“…An alarming increase in the frequency of extreme rainfall events necessitates advanced flood risk reduction methods. This study uses ANSYS Fluent to simulate the 'Model urban city' flow experiment, comparing aligned and staggered urban layouts. …”
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Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

“…A flexible body model of corn residues was established, and cutting resistance measurements indicated a 15.1% reduction in cutting resistance. The breakage resistance of the rotary blade was validated using a discrete element method–finite element method (DEM–FEM) coupling approach. …”
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Experimental Study on The Mechanical Properties of Novel Viscous Mass Damper by CAI Yijie, XU Weizhi, WANG Shuguang, DU Dongsheng, SUN Yue

“…In terms of force magnitude, the maximum error was 42.5 kN, while the average error was as low as 20.97 kN. …”
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Post-acceleration internal enhancement technology for streak camera and its nonlinear intensity correction by GU Li, YANG Fang, YANG Qinlao

“…The nonlinear sources of signal intensity on the screen are identified by the different transmittance of electrons with different directional angles, and the intensity error distribution in the imaging area and its correction methods are provided. …”
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Observable-driven speed-ups in quantum simulations by Wenjun Yu, Jue Xu, Qi Zhao

“…For short-time simulations, we deliberately design and tailor product formulas to achieve size-independent errors for local and certain global observables. In arbitrary-time simulations, we reveal that Pauli-summation structured observables generally reduce average errors with a typically quadratic error reduction. …”
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Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

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PMSM sliding-mode control based on novel reaching law and disturbance observer by LIU Jing, LI Hong-wen, DENG Yong-ting

“…To improve the performance of the speed servo system in the permanent magnet synchronous motor (PMSM) and to reduce the influence of disturbance in the control system, a sliding mode control method was proposed based on a novel reaching law and disturbance observer. …”
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Analysis of Three-Dimensional Micro-Contact Morphology of Contact Groups Based on Superpixel AMR Morphological Features and Fractal Theory by Jiahang Shen, Defeng Cui, Wenhua Li, Peidong Zhao, Xianchun Meng, Jiyuan Cai, Zheng Han, Haitao Wang

“…The model demonstrates a 15% improvement in contact area prediction accuracy and a 20% reduction in contact resistance estimation error compared to existing models. …”
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