Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…These findings align with principles of spatial justice and highlight the practical efficiency of heuristic-based solutions in administrative resource allocation. The main contribution of this study is the development and evaluation of a hybrid heuristic framework for allocating INE modules, demonstrating that combining multiple heuristics—with a genetic algorithm as the initial phase—significantly improves solution quality and computational efficiency.…”
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Algorithms for estimating equivalent resistances of in-plant electrical networks by E. Yu. Abdullazyanov, E. I. Gracheva, A. N. Gorlov, Z. M. Shakurova, T. V. Tabachnikova, S. Valtchev

“…When solving this problem, a study of the radial power supply scheme of the tool shop section was carried out with the calculation and modeling of equivalent and reference values of the circuit resistances. Algorithms and methods for estimating the values of equivalent resistances have been developed, taking into account the main technical characteristics of in-plant networks.RESULTS. …”
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SSCM: An Unambiguous Acquisition Algorithm for CBOC Modulated Signal by Yongxin Feng, Shunchao Fei, Fang Liu, Bo Qian

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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. …”
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HETEROGENIOUS BLOCKED ALL-PAIRS SHORTEST PATHS ALGORITHM by A. A. Prihozhy, O. N. Karasik

“…The main emphasis is on using the nature of the heterogeneity, the interaction of blocks during computation and the variation in block size, the size of the block matrix and the total number of blocks in order to identify the possibility of reducing the amount of computation performed during the calculation of the block, reducing the activity of the processor’s cache memory and determining the influence of the calculation time of each block type on the total execution time of the heterogeneous block algorithm. …”
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On precise path planning algorithm in wireless sensor network by Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan

“…Location information of sensor node is a critical issue for many applications in wireless sensor network. The main problem is to design a path for a mobile landmark to maximize the location accuracy as well as to reduce energy consumption. …”
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Improved Sparrow Search Algorithm for Sparse Array Optimization by Juanjuan Ji, Jie Su, Lanfang Zhang, Liuying Zhang, Julang Jiang, Hongliang Ma

“…Experimental simulations show that the proposed approach has good main lobe response and low sidelobe response. In the sparse planar array, the sidelobe level decreases by −1.41 dB compared with the genetic algorithm (GA) and 0.69 dB lower than the SSA. …”
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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…Based on the multi-scale mean-shift clustering algorithm, Adaptive Kernel Density Estimation (AKDE) is introduced to map density to bandwidth, achieving adaptive adjustment of clustering bandwidth while reducing computational resources and improving cloud hierarchy. …”
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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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MATHEMATICAL MODELS OF THE RADAR SIGNAL REFLECTED FROM A HELICOPTER MAIN ROTOR IN APPLICATION TO INVERSE SYNTHESIS OF ANTENNA APERTURE by Sergey R. Heister, Thai T. Nguyn

“…Such movements and bendings of the blades are influence the phase of the signal reflected from the main rotor. It is necessary to take the phase change of the reflected signal into account as accurately as possible when developing an ISAR algorithm for imaging the main rotor. …”
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Modified Meerkat Clan Algorithm for Association Rules Mining by Mohamad Ab. Saleh, Ahmed T. Sadiq Sadiq

“…The so-called algorithm follows the approach of defining the effective search area, which depends on a main random mechanism to lead the algorithm in extracting alternative rules and avoiding total solutions from being guided by the same rule, and this led to a great deal of diversity. …”
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ALGORITHMS OF THE AUTOMATIC DIGITAL ANALYSIS OF VEGETABLE SEEDS QUALITY by F. В. Musaev, М. S. Antoshkina, A. V. Soldatenko, S. L. Beletsky, N. N. Potrakhov

“…The modernized hardware and software system is developed and approved, the program algorithm consisting of several stages is developed. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…The main contributions of MHGS are fourfold: (1) a phased position update framework that dynamically coordinates global exploration and local exploitation through three distinct search phases; (2) an enhanced reproduction operator inspired by biological reproductive patterns to preserve population diversity; (3) an adaptive boundary handling mechanism that redirects out-of-bounds individuals to promising regions, thus improving search efficiency; and (4) an elite dynamic oppositional learning strategy with self-adjusting coefficients to enhance the algorithm’s ability to avoid local optima. …”
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Identification of Rice Varieties Using Machine Learning Algorithms by Murat Koklu, İlkay Çınar

“…Rice, which has the highest production and consumption rates worldwide, is among the main nutrients in terms of being economical and nutritious in our country as well. …”
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ALGORITHM FOR MANAGEMENT OF HYPERTENSIVE PATIENTS UNDERWENT UROLOGY INTERVENTIONS by S. S. Davydova

“…Males (n=883), aged 40 to 80 years were included into the study. The main group consisted of patients that underwent laparotomic nephrectomy (LTN group; n=96) and patients who underwent laparoscopic nephrectomy (LSN group; n=53). …”
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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…The main feature of the algorithm including an inner and outer double loop structure is designed: the outer loop structure uses mini-batch random samples to calculate the gradient, approximating the full gradient and reducing the gradient calculation cost; the inner loop structure also uses mini-batch random samples to calculate the gradient and replace the single sample random gradient, improving convergence stability of the algorithm. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…The main motivation for the development of FCMA has been to significantly reduce the solving time of the resource allocation problem compared to a previous state-of-the-art optimal Integer Linear Programming (ILP) model. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…The study of the results of the functionality of the proposed algorithm was carried out in the environment of three-dimensional modeling. …”
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Spline shaft hob cutter accuracy increase by the means of theoretical profile approximation by the circle involute section by М. V. Frolov

“…One of the most wide spread and efficient spline shafts manufacturing methods is their cutting by the means of generating process by hob cutters. In this case, hob cutter’s theoretical profile, taking in to account its inadaptability to manufacture, traditionally is approximated by the section(s) of one or two circles. …”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Compared to existing techniques such as Fuzzy C-means (FCM) and hybrid Self-Organizing Mapping-K-means (SOM-FKM), the proposed method demonstrates statistically significant improvements in tissue segmentation and classification. …”
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