Determining Non-Dimensional Group of Parameters Governing the Prediction of Penetration Depth and Holding Capacity of Drag Embedment Anchors Using Linear Regression by Mojtaba Olyasani, Hamed Azimi, Hodjat Shiri

“…In this study, explicit linear regression (LR) models were developed for the first time to predict the penetration depth and holding capacity of DEAs on clay and sand seabed. …”
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Calculation Method of Downstream Water Level in Non-Spilling Periods of Hydropower Stations Based on Decision Tree Classification and Multiple Linear Regression by LI Yinghai, HE Liangzhe, ZHANG Hairong, NIE Panpan, QIN Hui, YANG Qingyu, GUO Jiali

“…A multiple linear regression calculation method based on decision tree classification is proposed. …”
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Enhanced visible-light-driven dye degradation via electron coupling between linear polymer nanoclusters and TiO2 nanoparticles by Khushabu Shekhawat, Hariom Gurjar, Dinesh Bhalothia, Anbalagan M. Ballamurugan, Ashima Bagaria

“…Abstract Considering the pressing demand for advanced environmental remediation technologies, particularly for the degradation of persistent organic pollutants, we report the development of organic–inorganic hybrid nanocomposites based on titanium dioxide (TiO2) coupled with linear polymeric chains polyethylene glycol (PEG) and polyvinylpyrrolidone (PVP) for enhanced visible light-driven photocatalytic dye degradation. …”
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Non‐linear electrical conductivity of compositionally gradient structured zinc oxide/ethylene propylene diene monomer composites for cable accessory application by Tiandong Zhang, Huiduo Xu, Gang Liu, Chao Yin, Changhai Zhang, Yue Zhang, Yongquan Zhang, Qingguo Chi

“…The constructed FGMs with significantly improved non‐linear conductivity can avoid the electric field distortion in cable accessories. …”
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Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse by Simon Zabler, Antoine Klos, Pierre Lhuissier, Luc Salvo, Maziyar Farahmandi, Simon Wittl

“…Meanwhile, any linear filter is unable to adapt to local contrast variations in the images. …”
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Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression by Javad Artin, Amin Valizadeh, Mohsen Ahmadi, Sathish A. P. Kumar, Abbas Sharifi

“…We had 400 data, which included the characteristics of the day’s weather, including six features: absolute humidity, dew point, visibility, wind speed, cloud height, and temperature, which in the final column is the urban traffic congestion target. We have analyzed linear regression with the results obtained in the project; this method was more efficient than other regression models. …”
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Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach by Noor Yusuf, Roberto Baldacci, Ahmed AlNouss, Tareq Al-Ansari

“…Hence, this study introduces a multi-period mixed integer linear programming (MILP) model for flexible natural gas allocation in complex networks. …”
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Performance Comparison of Genomic Best Linear Unbiased Prediction and Four Machine Learning Models for Estimating Genomic Breeding Values in Working Dogs by Joseph A. Thorsrud, Katy M. Evans, Kyle C. Quigley, Krishnamoorthy Srikanth, Heather J. Huson

“…This study investigates the efficacy of various genomic prediction models—Genomic Best Linear Unbiased Prediction (GBLUP), Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGB), and Multilayer Perceptron (MLP)—in predicting genomic breeding values (gEBVs). …”
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Análisis dinámico no lineal para pilotes de cimentación fundidos " in situ " // Non-linear dynamical analysis for foundation piles molten " in situ " by E. Fraga Guerra, J. A. Alvarez Vasallo, L. Baldoquín de la Peña, Ma. L. Brito Vallina

“…One of the most used techniques is<br />the study of mechanical vibrations of the piles since this method turns out very efficient because it allows obtaining optimum<br />results without stopping the productive process.…”
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cpp11armadillo: An R package to use the Armadillo C++ library by Mauricio Vargas Sepulveda, Jonathan Schneider Malamud

“…This article introduces ‘cpp11armadillo’, an R package that integrates the highly efficient Armadillo C++ linear algebra library with R through the ‘cpp11’ interface. …”
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Simulation Analysis and Optimization Research on Cooling and Dehumidifying Effects of Evaporator by Liu Shuailing, Ma Guoyuan, Xu Shuxue, Li Fuping, Sun Han

“…For the efficient operation of the cooling and dehumidification system, the relationship between dehumidification and the inlet air speed, dry bulb temperature, and relative humidity of evaporator is numerically analyzed. …”
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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“… The main objective of this work is to estimate the scale parameter of the Poisson Lindley distribution by means of multiple approaches, such as Poisson Linear Quantile-Moment and Maximum Likelihood. Based on mean square error criteria(MSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC), Linear Quantile-Moment is the most efficient estimator among these techniques. …”
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A secured and fault-tolerant algorithm for electing an efficient coordinator in distributed networks by Shital S. Supase, Jayshree R. Pansare

“…RSCEA demonstrates scalability with a storage expense linear in number of nodes, thus markedly enhancing communication efficiency. …”
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Bioinspired Kirigami Structure for Efficient Anchoring of Soft Robots via Optimization Analysis by Muhammad Niaz Khan, Ye Huo, Zhufeng Shao, Ming Yao, Umair Javaid

“…A compact 12 V linear actuator enabled cyclic actuation via a custom firmware loop, generating controlled buckling and directional friction for effective locomotion. …”
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Computationally efficient data‐driven model predictive control for modular multilevel converters by Muneeb Masood Raja, Haoran Wang, Muhammad Haseeb Arshad, Gregory J. Kish, Qing Zhao

“…This paper presents a finite control set model predictive control (FCS‐MPC) that significantly reduces the computational complexity by employing sparse identification of non‐linear systems (SINDy) to obtain a simplified linear model for the MMC. …”
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Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

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Researches on efficient transmission protocol for multi-cell system based on interference toleration by Bao-feng JI, Chun-guo LI, Kang SONG, Yi WANG, Liang SONG

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Researches on efficient transmission protocol for multi-cell system based on interference toleration by Bao-feng JI, Chun-guo LI, Kang SONG, Yi WANG, Liang SONG

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An Efficient Image Encryption Using a Dynamic, Nonlinear and Secret Diffusion Scheme by Rachid RIMANI, Naima HADJ SAID, Adda ALI PACHA, Juan Antonio López RAMOS

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Resource Recycling and Eco-Efficiency Improvement from the Perspective of a Sustainable Economy by Wang Zhongyang

“…From the perspective of a sustainable economy, resource recycling and ecological efficiency improvement have become key ways to balance environmental protection and economic development. …”
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