Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…Four models were used in this study: locally weighted linear regression (LWLR) based on the radial basis kernel function, multiple linear regression (MLR), extreme learning machine (ELM), and random forest (RF). …”
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Beyond Adaptive Control: A Control Method for Nonlinear Systems With Uncertainties, Applied to COVID-19 by Andrew C. Mathis, Juan A. Carretero, Jonathon W. Sensinger

“…Here we show that our novel and computationally efficient dual iterative linear quadratic Gaussian controller outcompetes an adaptive iterative linear quadratic Gaussian controller, using the control of COVID-19 as an example application. …”
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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

“…For the regression tasks using the NYC Taxi Trip Duration and Netflix Prize datasets, we evaluated models including Linear Regression (LinR), Random Forest (RF), Gradient-Boosted Trees (GBT), Support Vector Regressor (SVR), and K-Nearest Neighbors (KNN). …”
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The Determination of Polymyxin B in Critically Ill Patients by the HPLC-MS/MS Method by Yirong Wang, Jingchun Chen, Jinpan Du, Liming Lei, Boxin Zhao, Yunpeng Bai, Dong Chen, Xipei Wang, Chunbo Chen

“…The total quantity of PB1 and PB1-I was measured in the linear range of 100–8000 ng/mL. Simultaneously, the total amounts of PB2 and PB3 were measured in the linear range of 11.9–948.5 ng/mL. …”
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Proprioceptive and Exteroceptive Information Perception in a Fabric Soft Robotic Arm via Physical Reservoir Computing with Minimal Training Data by Jun Wang, Zhi Qiao, Wenlong Zhang, Suyi Li

“…This reveals that balanced linear and nonlinear body dynamics are critical for the physical reservoir to accomplish complex proprioceptive and exteroceptive information perception tasks. …”
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Numerical Seismic Fragility Analysis of Glass Curtain Walls: Gaps and Challenges in Modelling Optimization and Limit Performance Indicators by Nicola Cella, Chiara Bedon

“…In this paper, attention is given to the development and assessment of a geometrically simplified and mechanically optimized FE numerical model for the non-linear dynamic analysis of glass curtain walls (GCWs). …”
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A neural-network-enhanced parameter-varying framework for multi-objective model predictive control applied to buildings by Dylan Wald, Olga Doronina, Kathryn Johnson, Ryan King, Michael Sinner, Kevin Griffin, Rohit Chintala, Deepthi Vaidhynathan, Jibonananda Sanyal, Marc Day

“…ANPV-MPC combines key ideas in parameter-varying control, adaptive control, and online learning strategies to bridge the gap between computationally efficient linear model predictive control and more accurate nonlinear model predictive control. …”
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MATLAB-empowered brightness defect prediction system in pulp processing bleaching stage: An empirical modelling approach by Michael, M. Thoriq Al Fath, Vikram Alexander, Gina Cynthia Raphita Hasibuan, Muhammad Syukri, Muhammad Hendra S. Ginting, Rivaldi Sidabutar, Nisaul Fadilah Dalimunthe

“…Data normalization ensured efficient processing by standardizing parameter scales. …”
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The effect of micro silica fume (MSF) content on pore fractal dimension (PFD) and mechanical properties of self-consolidating concrete by Tao Luo, Cheng Hua, Li Li, Tianqi Zhang, Xiaochun Lu, Leo Gu Li, Sahar A. Mostafa

“…The porosity and air content displayed a negative linear correlation with micro-PFD, meso-PFD, and macro-PFD while drying shrinkage displayed a positive linear correlation with micro-PFD. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…Finally, 31 mobile platform position sampling points on both linear and circular trajectories in the workspace of the 3‒PTT parallel robot are selected for simulation and experimental verification. …”
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Hydrogen Evolution in Battery Electric Vehicle Coolants During Accidental Leakage: The Impact of Corrosion Inhibitors and Electrical Conductivity by Luciane Sopchenski, Sander Clerick, Guy Buytaert, Serge Lievens, Theodoros Kalogiannis, Annick Hubin, Herman Terryn

“…Efficient thermal management is critical to the performance and acceptance of battery electric vehicles (BEVs). …”
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Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations by Yunlong Sun, Dehan Luo, Hui Li, Chuchu Zhu, Ou Xu, Hamid Gholam Hosseini

“…In addition, the SLLE algorithm provides more efficient and accurate responses to high-dimensional industrial gas data. …”
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Effective Computational Approach for Prediction and Estimation of Space Object Breakup Dispersion during Uncontrolled Reentry by Deok-Jin Lee, Eun Jung Choi, Sungki Cho, Jung-Hyun Jo, Tae Soo No

“…First, a derivative-free statistical linear regression method using the unscented transformation is utilized for performing a covariance propagation. …”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

“…In particular, for problems in dimension 1 it is less efficient than direct interpolation methods to recover the vector field. …”
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A Novel Methodology for Scrutinizing Periodic Solutions of Some Physical Highly Nonlinear Oscillators by Gamal M. Ismail, Galal M. Moatimid, Stylianos V. Kontomaris, Livija Cveticanin

“…The proposed non-perturbative approach (NPA) effectively converts nonlinear ordinary differential equations (ODEs) into linear ones, equivalent to simple harmonic motion. …”
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Investigating the effect of knowledge, attitude, and social marketing mixes on the behavior of consumption herbal medicines by patients by Mahdi Amraei, Effat Jahanbani Veshareh, Kambiz Ahmadi Angali, Amin Torabipour

“…Descriptive and analytical statistics including Pearson's correlation coefficient, one-way analysis of variance, linear regression and t-test were used for data analysis with the help of SPSS26 software. …”
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Ten‐Membered Cyclic Azobenzene: Electrochemical Synthesis and Photochromic Properties by Qianqian Niu, Dan Li, Lijiao Guo, Xinyuan Sun, Yan Liu, Longjiu Cheng, Baokang Jin

“…Cyclic azobenzenes generally exhibit enhanced photophysical properties compared to conventional linear azobenzenes, such as visible‐light activation and exceptional thermal stability. …”
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Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters by Yong Qing, Ke Li, Peng-Fei Zhou, Shi-Ju Ran

“…For instance, we compress 2 linear layers in VGG-16 with approximately 107 parameters to 2 ADTNs with only 424 parameters, improving the testing accuracy on CIFAR-10 from 90.17% to 91.74%. …”
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Optimizing weak grid integrated wind energy systems using ANFIS-SRF controlled DSTATCOM by Peram Venkata Ramana, K. Mercy Rosalina

“…Unlike traditional approaches, the ANFIS-SRF controller leverages self-adaptive tuning and non-linear decision-making capabilities, ensuring superior system performance. …”
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Cyclic voltammetry insights into Ni/Al-carbonate hydrotalcite catalysis for methanol oxidation by Bushra Bari, Pawan Tyagi, Uche Udeochu

“…The electrochemically active surface area was calculated to be 0.042 cm², and linear sweep voltammetry revealed a 5.2 V onset potential. …”
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