Identifying the determining factors of detonation properties for linear nitroaliphatics with high-throughput computation and machine learning by Wen Qian, Jing Huang, Shi-tai Guo, Bo-wen Duan, Wei-yu Xie, Jian Liu, Chao-yang Zhang

“…This study shows the high efficiency of the combination of HTC and ML in high-throughput screening.…”
Get full text

Linear friction welding of T-Joints in low carbon steel: Effect of welding parameters on joint quality by Huilin Miao, Takayuki Yamashita, Kohsaku Ushioda, Seiichiro Tsutsumi, Yoshiaki Morisada, Hidetoshi Fujii

“…Linear friction welding (LFW) is a well-established solid-state joining technique. …”
Get full text

Development of an Optimized Non-Linear Model for Precise Dew Point Estimation in Variable Environmental Conditions by José Antonio Hernandez-Torres, Juan P. Torreglosa, Reyes Sanchez-Herrera, Aldo Bischi, Andrea Baccioli

“…Using the Magnus–Tetens equation, deemed as the most reliable equation, as a benchmark, and by applying a process of non-linear regression fitting and parametric optimization, a new equation was derived. …”
Get full text

The Linear Stability of a Power-Law Liquid Film Flowing Down an Inclined Deformable Plane by Karim Ladjelate, Nadia Mehidi Bouam, Amar Djema, Abdelkader Belhenniche, Roman Chertovskih

“…A linear stability analysis is performed for a power-law liquid film flowing down an inclined rigid plane over a deformable solid layer. …”
Get full text

Research on Equivalent Circuit Model of Flat Linear Induction Electromagnetic Pump Considering End Effect by BAI Yifan1, YAN Xin2, BI Keming2, YANG Chunwei1, DING Ming1

“…Flat linear induction electromagnetic pump (FLIP) is distinguished by their high reliability and longevity, rendering them one of the optimal choices for the coolant pumping of liquid metal-cooled space nuclear power sources. …”

New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Caroline A. D. Silva, Marcelo A. C. Fernandes

“…Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. …”
Get full text

Optimal Microgrid Protection Coordination for Directional Overcurrent Relays Through Mixed-Integer Linear Optimization by León F. Serna-Montoya, Sergio D. Saldarriaga-Zuluaga, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

“…This study addresses the coordination of Directional Overcurrent Relays (DOCRs) in MGs through a Mixed-Integer Linear Programming (MILP) model. The main contribution is a MILP model that optimizes relay settings, including Time Multiplier Settings (TMS) and standard characteristic curves, to minimize tripping times, while ensuring selectivity. …”
Get full text

LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

“…We propose LinU-Mamba, a model with a U-Net-based vision Mamba architecture, with light spatial attention in skip connections, and an efficient linear attention mechanism in the encoder and decoder to better capture salient fire information in the dataset. …”
Get full text

Solving a System of Linear Volterra Integral Equations Using the Modified Reproducing Kernel Method by Li-Hong Yang, Hong-Ying Li, Jing-Ran Wang

“…A numerical technique based on reproducing kernel methods for the exact solution of linear Volterra integral equations system of the second kind is given. …”
Get full text

A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations. by Niringiye, Richard

“…It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cholesky decomposition is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions.…”
Get full text

Progressive Magnetic Resonance Image Reconstruction Based on Iterative Solution of a Sparse Linear System

“…In this paper, we present a new reconstruction method that is based on solving a system of linear equations using an efficient iterative approach. …”
Get full text

Advancing numerical solutions for a system of singularly perturbed delay differential equations at linear rate by Dany Joy, Dinesh Kumar S, Fathalla A Rihan

Get full text

Method for Solving Large Linear Algebraic Equation Systems Based on Kaczmarz–K-Means Algorithm by Hao Li

“…In response to the problems in solving large-scale linear algebraic equations, this study adopts two block discrimination criteria, the Euclidean clustering and the cosine clustering, to decompose them into row vectors and construct the K-means clustering algorithm. …”
Get full text

Progressive Magnetic Resonance Image Reconstruction Based on Iterative Solution of a Sparse Linear System by Yasser M. Kadah, Ahmed S. Fahmy, Refaat E. Gabr, Keith Heberlein, Xiaoping P. Hu

“…In this paper, we present a new reconstruction method that is based on solving a system of linear equations using an efficient iterative approach. …”
Get full text

Course Scheduling Using Genetic Algorithms Enhanced by Linear Regression for Data Mining Course Participants by Arie Susetio Utami, Agust Isa Martinus, Freddy Wicaksono, Rangga Manggala Yudha

“…This scheduling system is efficient, minimizing scheduling conflicts to 0 percent…”
Get full text

Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks by Dongyul Lee, Chaewoo Lee

“…We formulate this problem with integer linear programming (ILP) and provide numerical results to show the performance under 802.16 m environment. …”
Get full text

Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis by Kunju Shi, Shulin Liu, Hongli Zhang, Bo Wang

“…To overcome these weaknesses, kernel local linear discriminate (KLLD) algorithm is proposed. …”
Get full text

Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation by Balázs Csutak, Gábor Szederkényi

“…It has been clearly demonstrated over the past years that control theory can provide an efficient framework for the solution of several complex tasks in epidemiology. …”
Get full text

Hybrid B-spline collocation method with particle swarm optimization for solving linear differential problems by Seherish Naz Khalid Ali Khan, Md Yushalify Misro

“…The optimized CHBSM (OCHBSM) was tested on four examples of linear two-point boundary value problems (BVPs), including a linear BVP system. …”
Get full text

Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…Integer linear programs (ILPs) and mixed integer programs (MIPs) often have multiple distinct optimal solutions, yet the widely used Gurobi optimization solver returns certain solutions at disproportionately high frequencies. …”
Get full text