Multi-scale analysis and hierarchical optimization design of a 2D twill woven composite front firewall for electric vehicles by Junfei Yan, Jian Song, Bengang Yi, Yi Quan, Cheng Xu, Wenyuan Gong, Zhaojun Du, Tengyong Liu, Changchun Xie, Darong Liang, Zihao Pu, Zhexuan Dong

“…In this work, a multi-scale analysis strategy was proposed to investigate mechanical behaviors of composite front firewall. …”
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The Optimal Selection for Restricted Linear Models with Average Estimator by Qichang Xie, Meng Du

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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

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Optimal Parameter Extraction of PEM Fuel Cell Using a Hybrid Weighted Mean of Vectors and Nelder-Mead Simplex Method by Rahul Khajuria, Mahipal Bukya, Ravita Lamba, Rajesh Kumar

“…This paper proposes a new hybrid approach based on weIghted meaN oF vectOrs and Nelder-Mead (INFONM) method for PEM fuel cell parameter extraction. An optimization problem is framed and a sum of squared error (SSE) based objective function is formulated between estimated and experimental voltages. …”
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An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization by Zhizhou Wu, Zhibo Gao, Wei Hao, Jiaqi Ma

“…Then, a linear-quadratic optimal controller was designed considering the perspectives of driving safety, efficiency, and ride comfort with three performance indicators including vehicle gap error, relative speed, and desired acceleration. …”
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Accuracy Analysis and Synthesis of Planar Mechanism for Antenna Based on Screw Theory and Geometric Coordination by Qiying Li, Jing Zhang, Miao Yu, Chuang Shi, Yaliang Dou, Hongwei Guo, Rongqiang Liu

“…This paper proposes a screw-theory-based sub-chain precision analysis method. This method constructs a virtual screw model of rod length errors and hinge gap errors. …”
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Error-corrected ultradeep next-generation sequencing for detection of clonal haematopoiesis and haematological neoplasms - sensitivity, specificity and accuracy. by Melinda L Tursky, Crisbel M Artuz, Melissa Rapadas, Gary A Wittert, Timothy J Molloy, David D Ma

“…However, limited data are available on optimal parameters, limits of detection, and accuracy of ultra-sensitive detection. …”
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Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

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Real-Time Analysis of Event Response Based on RT-Thread by Hui Liu, Wenyin Tao, Zhixin Hong, Lianmin Shi

“…The experimental results show that the low-latency piling timing analysis approach proposed in this paper has an error of about 1.5 microseconds compared to the measurement time of the logic analyzer and the theoretical analysis time. …”
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Six-Dimensional Spatial Dimension Chain Modeling via Transfer Matrix Method with Coupled Form Error Distributions by Lu Liu, Xin Jin, Huan Guo, Chaojiang Li

“…The current methods (e.g., worst-case analysis, statistical tolerance analysis) face limitations from oversimplified assumptions—treating datum features as ideal geometries while ignoring manufacturing-induced spatial distribution of form errors and failing to characterize 3D coupled error constraints. …”
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Improving Healthcare Service Quality: A System Dynamics Approach to Managing Visit Times and Reducing Error Rates by Fatemeh Ghayoor, Donya Rahmani

“…Healthcare environments are inherently complex, requiring adaptive strategies to address challenges such as fluctuating patient demands, work pressure, reduced visit times, and error generation in physician prescriptions. Through simulation-based analysis, we evaluated the impact of various policies, including adjustments to patient arrival rates and human resource hire/quit rate. …”
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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

“…To address this issue, this research proposes a denoising method that combines the hippopotamus optimization algorithm (HOA), variational mode decomposition (VMD), and singular spectrum analysis (SSA). …”
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Analysis of Damage Factors of Reinforced Concrete Frame Under Internal Explosion by Jiaxin Li, Jianping Yin, Xudong Li, Shi Rui

“…An empty column is incorporated as an error term, facilitating a five-factor, four-level orthogonal optimization design for the simulation experiments. …”
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Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach by T. Ashika, G. Hannah Grace

“…This study presents an Optimized Rough Set Theory-Machine Learning (RST-ML) framework that integrates Multi-Criteria Decision-Making (MCDM) for effective heart disease (HD) prediction. …”
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Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis by Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi

“…This study aims to investigate and predict the performance of a 400 MW steam power plant operating on the Rankine cycle through a combined exergy-energy analysis and an artificial intelligence-based random forest regression model. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

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Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis by Lalan J. Mishra, Naima Kaabouch

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Use of artificial neural network for optimization of irreversibility analysis in radiative Cross nanofluid flow past an inclined surface with convective boundary conditions by Ali Farhan, Zaib Aurang, Zafar Syed Sohaib, Khan Umair, Ahmed Muhammad Faizan, Elattar Samia, Khashi’ie Najiyah Safwa

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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials: grid optimization and performance evaluation by Hai Tao, Mohammed Suleman Aldlemy, Raad Z. Homod, Mustafa K. A. Mohammed, Abdul Rahman Mallah, Omer A. Alawi, Shafik S. Shafik, Hussein Togun, Blanka Klimova, Hassan Alzahrani, Zaher Mundher Yaseen

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The shift-based scaling and recursing algorithm for evaluating the action of the matrix $ \varphi $-functions by Xianan Lu, Dongping Li, Zhixin Zhao

“…Our approach is based on a scaling and recursing procedure and incorporates a shifting technique as a preprocessing step to enhance efficiency. We conduct a forward error analysis to determine the optimal scaling parameter and polynomial degree for achieving the desired accuracy. …”
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