A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
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BOC Signal Acquisition Algorithm Based on Similar Enfoldment by Qi Han, Kejia Zhu, Caibo Hu, He Zhao, Shuang Wu, Yu Fu

“…This paper simulates the acquisition performance of the SEA algorithm, Martin algorithm, and SCPC algorithm, while the simulation result shows that the SEA algorithm is superior to the Martin algorithm and SCPC algorithm. …”
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Dissipative Variational Quantum Algorithms for Gibbs State Preparation by Yigal Ilin, Itai Arad

“…We demonstrate how such algorithms can prepare Gibbs states over a wide range of quantum many-body Hamiltonians and temperatures, while significantly reducing errors due to both coherent and noncoherent noise. …”
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Enhanced Tunicate Swarm Algorithm for Big Data Optimization by Emine Baş

“…One of them is metaheuristic algorithms. Meta-heuristic methods, which have been used by very few researchers yet, have become increasingly common. …”
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An Algorithm for Producing Fuzzy Implications via Conical Sections by Ioannis Karampinis, Georgios Souliotis, Basil Papadopoulos, Athanasios Karabinis

“…., involutions, thus leading, in general, to the generated fuzzy implications possessing many desirable additional properties. We have examined which of these properties hold for the implications produced by our algorithm and under which conditions. …”
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Application of Genetic Algorithm to Hexagon-Based Motion Estimation by Chih-Ming Kung, Wan-Shu Cheng, Jyh-Horng Jeng

“…Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. …”
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K-Medoid Algorithm in Clustering Student Scholarship Applicants by Sofi Defiyanti, Mohamad Jajuli, Nurul Rohmawati

“…Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. …”
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A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

“…Precise contour separation of objects is crucial for effective segmentation; however, contouring methods often produce thick contour lines, leading to unnecessary information in the final image. Contour thinning algorithms address this issue, yet many existing algorithms lack real-time applicability and fail to deliver precise contour separation. …”
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A Combined Antijamming and Antispoofing Algorithm for GPS Arrays by Qiong Yang, Yi Zhang, Chengkai Tang, Jie Lian

“…To solve the problem, a combined antijamming and antispoofing algorithm for a GPS receiver based on an antenna array is proposed. …”
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Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing by Feng Wang, Jianping Zhang, Guiling Sun, Tianyu Geng

“…It has been shown that iterative reweighted strategies will often improve the performance of many sparse reconstruction algorithms. Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) is a recently proposed method which iteratively enhances the performance of any given arbitrary sparse reconstruction algorithm. …”
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Real Power Loss Reduction by Enhanced RBS Algorithm by Kanagasabai L.

“…RBS algorithm is designed on the copulate actions of RBS. …”
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Hybrid quadratic diagonal algorithm for thinning contour lines by Mamatov Narzullo, Jalelova Malika, Fayziev Vohid, Samijonov Abdurashid, Samijonov Boymirzo

“…However, this algorithm fails to thin some contour lines. Therefore, in this work, an improved quadratic diagonal algorithm based on the strengths of the Zhang-Suen algorithm is proposed. …”
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A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm by Jiao Shi, Maoguo Gong, Wenping Ma, Licheng Jiao

“…Compared with several state-of-the-art multiobjective evolutionary algorithms on well-known and frequently used multiobjective and many-objective problems, the proposed algorithm achieves comparable results in terms of convergence, diversity metrics, and running time on most test problems.…”
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Sequentially Modified Gravitational Search Algorithm for Image Enhancement by Ferzan Katırcıoğlu, Uğur Güvenç

“…Gravitational Search Algorithm (GSA) is based on the acceleration trend feature of objects with a mass towards each other and includes many interdependent parameters. …”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

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Portfolio Optimization with Artificial Hummingbird Algorithm for Cement Industry by Murat Erhan Çimen

“…In this study, the Artificial Hummingbird Optimization Algorithm (AHA), which has been proposed in recent years, was implemented for portfolio optimization by adapting it to Modern Portfolio Theory. …”
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GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

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A comparison of various imputation algorithms for missing data. by Jürgen Kampf, Iryna Dykun, Tienush Rassaf, Amir Abbas Mahabadi

“…<h4>Background</h4>Many datasets in medicine and other branches of science are incomplete. …”
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Surprisal-based algorithm for detecting anomalies in categorical data by Ossama Cherkaoui, Houda Anoun, Abderrahim Maizate

“…Anomaly detection is an important research area in a diverse range of real-world applications. Although many algorithms have been proposed to address anomaly detection for numerical datasets, categorical and mixed datasets remain a significant challenge, primarily because a natural distance metric is lacking. …”
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Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

“…This paper emphasizes optimizing the EDM process using three metaheuristic algorithms: Glowworm Swarm Optimization (GSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA). …”
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