A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters by Nana Yaa Serwaah Sarpong, Joseph Oppong Akowuah, Joseph Ofei Darko, Eric Asante Amoah

“…Machine learning models efficiently interpreted these attributes, including gradient boost regressor, linear regression, neural network, and random forest. …”
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Estimation of Maneuvering Coefficients of the KCS Using Captive Model Test Simulations in the OpenFOAM Framework by Minsu Cho, Theo Descamps, Benjamin Bouscasse, Young-Myung Choi

“…The accurate prediction of ship maneuvering performance is crucial for ensuring maritime safety and operational efficiency. With increasing ship sizes and complex operating conditions, more advanced computational tools are increasingly required. …”
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Controllability and Observability of Heterogeneous Networked Systems With Non-Uniform Node Dimensions and Distinct Inner-Coupling Matrices by Aleena Thomas, Abhijith Ajayakumar, Raju K. George

“…In this paper, controllability and observability of a heterogeneous networked system with Linear Time Invariant (LTI) nodal systems having Multiple-Inputs and Multiple-Outputs (MIMO) aligned in a weighted and directed network topology are studied. …”
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Exploring State Space Models in LiDAR Point Cloud Segmentation by D. Lu, L. Xu, R. Wang, J. Li

“…Mamba has achieved significant success in various fields due to its ability to efficiently model long-range dependencies with linear complexity. …”
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Improving the Leakage Rate of Ciphertext-Policy Attribute-Based Encryption for Cloud Computing by Leyou Zhang, Xiaoxu Gao, Fuchun Guo, Gongcheng Hu

“…At last, the performance comparisons are given to confirm the efficiency and security of the proposed scheme.…”
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Inhibition of corrosion of mild steel in simulated oil well waterby aqueous extract of Hibiscus rosa-sinensis flower by Balakrishnan Latha, Kaliyaperumal Kavitha, Rajendran Susai

“…The corrosion inhibition effect is confirmed by the increase in the linear polarization resistance value and decrease in the corrosion current value. …”
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G-Pre: A Graph-Theory-Based Matrix Preconditioning Algorithm for Finite Element Simulation Solutions by Min Chen, Jingyan Li, Lijie Li, Kang Liang, Gai Wu, Wei Shen

“…In finite element simulation and analysis, increasing simulation scales place high demands on the preconditioning and solution process of linear matrices. However, the most commonly used preconditioning methods for incomplete LU factorization usually increase data access and computation due to data padding and forward/backward operations, as well as affect parallel computing design. …”
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Loading scaffold-mediated multiple signal cycle for ultrasensitive microRNA analysis with low background signal by Zhe Zhang, Qiaoyi Xie, Chenbo Zhu, Huali Shao, Boying Wu

“…This system employs cascade isothermal amplification, demonstrating a linear response across concentrations from 1 fM to 100 pM and achieving a detection limit of 0.54 fM. …”
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Numerical Study of the Effects of the Navier Slip Boundary Condition on the Hydrodynamic Performances of a Newtonian Fluid-lubricated Pad Bearing by Ihssane Messoude, Samir Aghzer

“…The discretization of this equation was performed using the centered finite difference method where the resulting linear system of equations was numerically processed with the Gauss-Seidel iterative method enhanced by over-relaxation. …”
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Digital Image Correlation Analysis of Displacement Based on Corrected Three Surface Fitting Algorithm by Tong-bin Zhao, Wei Zhang, Wei-yao Guo

“…In the computer simulation of speckle test, the comparison between CTSFA and SFA on the calculation results of linear and nonlinear displacement fields shows that the calculated amount of CTSFA is basically the same as that of SFA, but the calculation accuracy is doubled. …”
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Higher-Order Markov Chain-Based Probabilistic Power Flow Calculation Method Considering Spatio-Temporal Correlations by Muyang Liu, Yinjun Xiong, Quan Li, Mohammed Ahsan Adib Murad, Weilin Zhong

“…Finally, the Mehler formula is adopted to calculate equivalent correlation coefficients under high-linearity conditions, which enhances the computational tractability of the overall approach. …”
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Nonlinear Narrowband Active Noise Control for Tractors Based on a Momentum-Enhanced Volterra Filter by Tao Zhang, Zhixuan Guan, Shuai Zhang, Kai Song, Boyan Huang

“…Nonlinear narrowband low-frequency noise generated during tractors’ operation significantly affects operators’ comfort and working efficiency. Traditional linear active noise control algorithms often struggle to effectively suppress such complex acoustic disturbances. …”
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Hybrid Piezo–Electromagnetic Device Designed to Harvest the Vibrations of the Human Body by George-Claudiu Zărnescu, Lucian Pîslaru-Dănescu, Ioan Stamatin

“…Four piezo–electromagnetic generators have been developed. Two linear generators without magnetic cores were tested and optimized for low-frequency (0.2 Hz…5 Hz) and low-amplitude body movements. …”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimization (PSO) algorithm. …”
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Key drivers of non-revenue water in developing countries: Insights from a multilevel study in Brazil by Cláudia Orsini Machado de Sousa, Rafael de Freitas Souza, Nuno Manoel Martins Dias Fouto

“…This study employs a two-level hierarchical linear model (HLM2) to analyze NRW drivers in 310 Brazilian municipalities from 2017 to 2021. …”
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Polarisation reconfigurable anisotropic dielectric resonator antenna by Shadi Danesh, Mohammad Abedian, Mohsen Khalily, Pei Xiao, Rahim Tafazolli, Ahmed A. Kishk

“…The modulation scheme utilizes the tilt angle and axial ratio (AR) of a wireless signal to convey additional information, enabling the realization of different working modes ranging from circular polarization (CP) to nearly linear polarization (LP). The proposed modulation scheme yields significantly better bit error rate (BER) performance and higher spectral efficiency in bits/s/Hz/antenna. …”
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Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting by Jianchen Di, Miao Wu, Jun Fu, Wenkui Li, Xianzhou Jin, Jinyu Liu

“…The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memory (LSTM) networks, random forest (RF), a fusion model combining LSTM and RF, and a dynamic weighting (DW) model. …”
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Automation of monitoring of drying parameters in hybrid solar-electric dryer for agricultural products by Juliana L. Paes, Vinícius de A. Ramos, Marcus V. M. de Oliveira, Marinaldo F. Pinto, Thais A. de P. Lovisi, Wagner D. de Souza

“…The data obtained were subjected to analysis of variance, Tukey test and linear regression at p ≤ 0.05. The system to turn on/off the exhaust worked efficiently, helping to reduce the errors related to the mass measurement. …”
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Effects of magnesium fertilizer on photosystem Ⅱ chlorophyll fluorescence characteristics of functional leaves in maize by SU Zhong, CAO Min-jian, SHENG Yao-hui, JIANG Wen-chun, CHEN Zhi-bin

“…As for Dongdan 90, the chlorophyll fluorescence parameters increased significantly or highly significantly at the application amounts of magnesium fertilizer between 67.5 and 90.0 kg·hm^-2, but changed less beside the parameter of TR₀ /RC when the fertilizer amount was less than 67.5 kg·hm^-2, compared with control. Therefore, the PS Ⅱ linear electron transfer efficiency could be promoted, and assimilatory ability could be increased, and light utilization efficiency could be enhanced under the magnesium fertilizer levels of 45-67.5 kg·hm^-2 in Shenyu 21 or 67.5-90 kg·hm^-2 in Dongdan 90.…”
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SAG-YOLO: A Lightweight Real-Time One-Day-Old Chick Gender Detection Method by Yulong Chang, Rongqian Sun, Zheng Yang, Shijun Li, Qiaohua Wang

“…Next, the Additive Convolutional Gated Linear Unit (Additive CGLU) module, incorporated in the Neck section, enhances multi-scale feature interaction, improving detail capture while maintaining efficiency. …”
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