Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

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Classical Versus Bayesian Error-Controlled Sampling Under Lognormal Distributions with Type II Censoring by Huasen Zhou, Wenhao Gui

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Online Prediction of Milling Inner Hole Roundness Error Based on Accurate SSEM Value Extraction by Zhenbang Hu, Gedong Jiang, Xuesong Mei, Xialun Yun, Yun Zhang

“…For online prediction of the workpiece roundness error (WRE) during machining, a predictive model based on correlation analysis and a proportional method is proposed according to the spindle synchronous error motion (SSEM) by three-probe method testing. …”
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Q-Pandora Unboxed: Characterizing Resilience of Quantum Error Correction Codes Under Biased Noise by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…Tailoring surface codes to align with the target logical error rate and the biased physical error profile is crucial for optimizing reliability and resource use.…”
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Multi-Probe Measurement Method for Error Motion of Precision Rotary Stage Based on Reference Plate by Xiaofeng Zheng, Tianhao Zheng, Daowei Zhang, Zhixue Ni, Lei Zhang, Deqiang Mu

“…This method employs principles and methods to avoid harmonic suppression issues through optimal probe designs, enabling simultaneous quantification of tilt and axial error motions via error separation. …”
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Numerical study of the error sources in the experimental estimation of thermal diffusivity: an application to debris-covered glaciers by C. Beck, C. Beck, L. Nicholson

“…On the basis of this, we can establish sampling an analytical strategy to minimize the methodological errors. Our results show that increasing temporal and spatial sampling intervals increases (or leads to) truncation errors and systematically underestimates calculated values of thermal diffusivity. …”
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Atmospheric Modulation Transfer Function Calculation and Error Evaluation for the Panchromatic Band of the Gaofen-2 Satellite by Zhengqiang Li, Mingjun Liang, Yan Ma, Yang Zheng, Zhaozhou Li, Zhenting Chen

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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor by Venkata Nagaraju Thatha, Silpa Chalichalamala, Udayaraju Pamula, D. Pramodh Krishna, Manjunath Chinthakunta, Srihari Varma Mantena, Shariff Vahiduddin, Ramesh Vatambeti

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Optimizing agricultural yield: a predictive model for profitable crop harvesting based on market dynamics by Nilesh P. Sable, Nilesh P. Sable, Vinod Kumar Shukla, Parikshit N. Mahalle, Vijayshri Khedkar

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Multiscale Modeling and Reconstruction of Joint Motion: Finite Element Optimization Based on Particle Swarm Algorithm by Jiaju Zhu, Zhong Zhang, Runnan Liu, Meixue Ren, Guodong Ma

“…This study employs finite element analysis (FEA) to address the challenge of motion reconstruction in three-dimensional (3D) human body modeling, specifically focusing on joint movement. …”
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Research on End-Effector Position Error Compensation of Industrial Robotic Arm Based on ECOA-BP by Wenping Xiang, Junhua Chen, Hao Li, Zhiyuan Chai, Yinghou Lou

“…To address this issue, a study was conducted on the analysis and compensation of end-position errors in a six-degree-of-freedom robotic arm. …”
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Observer-based fuzzy T–S control with an estimation error guarantee for MPPT of a photovoltaic battery charger in partial shade conditions by Redouane Chaibi, Rachid EL Bachtiri, Karima El Hammoumi, Mohamed Yagoubi

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Risk−Based Cost−Benefit Optimization Design for Steel Frame Structures to Resist Progressive Collapse by Feng Guo, Xuancen Li, Aiyan Xu, Yuchen Zhang, Wanping Pan

“…To address this problem, this paper uses risk analysis to optimize the progressive collapse resistance design of steel frame structures. …”
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Thermal and Structural Optimization of Parabolic Trough Systems for Enhanced Energy Conversion Efficiency by Muhammad Sajjad, Shahryar Shafique Qureshi, Samrat Ray, Ambe Harrison, Saad F. Al-Gahtani, Zakaria M. S. Elbarbary

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Exploring multidimensional determinants of medication error reporting in China: a qualitative study using the theoretical domains framework by Hui Guo, Qian Guo, Xiuping Wang, Yonghong Liu, Ze Wang

“…These insights offer a roadmap for optimizing error reporting systems in hierarchical healthcare settings globally.…”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

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Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting by Chenhui Wang, Xiaotao Zhang, Xiaoshan Wang, Guoping Chang

“…To address the challenges of small sample sizes, high dimensionality, and strong nonlinearity in earthquake fatality prediction, this paper proposes an integrated modeling approach (PCA-IWOA-XGBoost) combining Principal Component Analysis (PCA), the Improved Whale Optimization Algorithm (IWOA), and Extreme Gradient Boosting (XGBoost). …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…Approximate computing has emerged as a promising paradigm for error-tolerant AI/ML applications deployed on energy-constrained edge devices where the complexity of hardware computing units can be reduced by optimizing circuit logic while slightly trading off computational accuracy. …”
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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Moreover, our statistical analysis reveals that improper calibration—manifested as size deviations from the nominal value—does not significantly increase boat error rates. …”
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