Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…We implemented this algorithm in Python as a QGIS script with two main steps: the first handles overlay operations and preliminary calculations for the chi-square goodness-of-fit test with and without Bonferroni correction in the second step. • A detailed step-by-step procedure for analyzing randomness in point patterns in a processing toolbox Python script for integration into the open-source software QGIS. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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Mathematical Formalization and Algorithmization of the Main Modules of Organizational and Technical Systems by A. A. Solodov

“…The formalization and algorithmization of the organizational and technical systems behavior is undertaken mainly in terms of the Bayesian criterion of optimal statistical estimates. …”
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A Modified Proximal Point Algorithm and Some Convergence Results by Shengquan Weng, Dingping Wu, Zengfu Chao

“…In this paper, the convergence to minimizers of a convex function of a modified proximal point algorithm involving a single-valued nonexpansive mapping and a multivalued nonexpansive mapping in CAT(0) spaces is studied and a numerical example is given to support our main results.…”
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A better iterative algorithm for fixed-point problem in Banach spaces with application by Wakeel Ahmed, Shahid Zaman, Tamseela Ashraf, Asma Raza

“…Furthermore, we give a clear example of complete mappings that satisfy the CSC condition whose fixed point is unique. As a practical application, we apply the main results to solve functional and fractional differential equations (FDEs), illustrating the broader applicability of our findings.…”
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Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…This article presents a strategy for ground segmentation in LiDAR point clouds composed by two main steps: (i) First, an initial classification is performed dividing the points in small groups and analyzing geometric features between them. …”
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Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation by Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li, Carlos A. Coello Coello

“…Then, to let the system provide more comprehensive recommended items, we present a multiobjective personalized recommendation algorithm using extreme point guided evolutionary computation (called MOEA-EPG). …”
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Identification of global main cable line shape parameters of suspension bridges based on local 3D point cloud by Yurui Li, Danhui Dan, Ruiyang Pan

“…This paper proposes an innovative non-uniform sampling method that adjusts the sampling density based on the main cable’s rate of change. Additionally, the Random Sample Consensus (RANSAC) algorithm, the ordinary least squares, and center-of-mass calibration are applied to identify and optimize the geometric parameters of the cross-section point cloud of the main cable. …”
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QUANTUM INFORMATICS: OVERVIEW OF THE MAIN ACHIEVEMENTS by A. Sigov, E. Andrianova, D. Zhukov, S. Zykov, I. E. Tarasov

“…In the field of artificial quantum intelligence, attention is paid, first of all, to the “search” for a model of a quantum neural network that is optimal from the point of view of using all the advantages presented by quantum computing and neural networks, as well as machine learning algorithms. …”
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A genetic algorithm approach for flexible power point tracking in partial shading conditions by Hamid Ouatman, Nour-Eddine Boutammachte

“…A novel Flexible Power Point Tracking (FPPT) algorithm based on Genetic Algorithms (GAs) is presented in this study. …”
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Application of Grey Wolf Optimization Algorithm for Maximum Power Point Tracking of Solar Panels by Fethi Khelaifa, Kheireddine Lamamra, Djaafar Toumi

“…The main problem with using standard algorithms like the Incremental Conductance (IC) controller for maximum power point tracking (MPPT) under partial shading conditions (PSC) is that they do not provide reliable tracking of the global peak of the volt-watt characteristic, leading to increased losses and reduced power plant performance. …”
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The Accuracy of Algorithms Used by Artificial Intelligence in Cephalometric Points Detection: A Systematic Review by Júlia Ribas-Sabartés, Meritxell Sánchez-Molins, Nuno Gustavo d’Oliveira

“…The main objective of this study is to identify the artificial intelligence algorithms that yield the best results for cephalometric landmark localization, along with their learning system. …”
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Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…In order to improve the obstacle avoidance ability of mine inspection robots under long-distance and complex working conditions, adjust the travel route in real time and achieve the avoidance of obstacles, based on the inspection and obstacle avoidance system with the fusion of multi-source sensing of infrared cameras and lidars, the main work is as follows: A robot obstacle avoidance algorithm based on sub-image segmentation and mapping of point cloud space is proposed. …”
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ALGORITHM OF MESH DEFORMATION FOR ACCOUNTING CYCLIC BLADE CONTROL AND BLADES FLAPPING IN THE PROBLEM OF HELICOPTER MAIN ROTOR MODELING by V. A. Vershkov

“…This paper presents the developed algorithm for numerical grid deformation for solving the problems of modeling the flow around the helicopter main rotor in the horizontal flight mode with allowance for flapping movements and cyclic changes in the angle of the blade installation. …”
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Numerical Algorithm for Coupled Fixed Points in Normed Spaces with Applications to Fractional Differential Equations and Economics by Lifang Guo, Salha Alshaikey, Abeer Alshejari, Muhammad Din, Umar Ishtiaq

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A Fast Rail Profile Point Cloud Matching Algorithm Based on Overlay Weight ICP by ZUO Wei, LI Jianfeng, LUO Zihe

“…Therefore, designing with rail profile matching algorithm is highly difficult. The classic iterative closest point (ICP) algorithm is able to realize quick point cloud matching, but it has the shortages such as high requirements for initial input data, being prone to falling into local optimal solutions, and being susceptible to interference from noisy points, resulting in big matching errors. …”
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ON THE CHOICE OF THE OPTIMAL POINTS OF OPENING IN CITY POWER GRIDS IN THE CONDITIONS OF THE SMART GRID by M. I. Fursanov, A. A. Zоlotoy

“…One of the main tasks being solved for all electric networks with open topology, including city electric networks, viz. a task of the choice of optimum points of disconnection, has been improved. …”
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An Implicit Algorithm for Finding a Fixed Point of a Q-Nonexpansive Mapping in Locally Convex Spaces by E. Soori, M.R. Omidi, A.P. Farajzadeh, Yuanheng Wang

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Development of stepwise particle dosing algorithm in magnetic solution deposition to clarify maximum area fraction points by Yuki NAGASAKO, Ryo HAYASAKA, Takahiro OOMURA

“…We investigated sedimentation in a colloidal dispersion composed of spherical ferromagnetic particles using Brownian dynamic simulations. We developed an algorithm to derive the maximum surface integral rate points, which is the area fraction that prevents the formation of a thin film under each condition, to clarify the conditions for forming a desired thin film in which spherical ferromagnetic particles settle down and exist separately. …”
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Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene by Tao Wang, Yiming Fu, Zhi Zhang, Xing Cheng, Lin Li, Zhenxue He, Haonan Wang, Kexin Gong

“…In road scenes, the collected 3D point cloud data is usually accompanied by a large amount of interference mainly composed of ground point clouds and the property of uneven density distribution, which will bring difficulties to subsequent recognition and prediction. …”
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A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints by Kang Xu, Zhaopeng Liu, Shuaihu Li

“…Subsequently, a scheduling optimization model is formulated to minimize both the system generation costs and the comprehensive risk, where the adaptive grid density-improved multi-objective particle swarm optimization (AG-MOPSO) algorithm is employed to efficiently generate Pareto-optimal operating point solutions. …”
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