CALCULATION ALGORITHM TRUSS UNDER CRANE BEAMS by N. K. Akaev1, A. K. Yusupov

“…Aim.The task of reducing the deflection and increase the rigidity of single-span beams are made. …”
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LEADERS AND FOLLOWERS ALGORITHM FOR TRAVELING SALESMAN PROBLEM by Helen Yuliana Angmalisang, Syaiful Anam

“…This paper aims to apply the Leaders and Followers algorithm for the Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem to minimize distance. …”
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An improved searching algorithm for indoor trajectory reconstruction by Min Li, Jingjing Fu, Yanfang Zhang, Zhujun Zhang, Siye Wang, Huafeng Kong, Rui Mao

“…In this article, we propose a searching algorithm that aims at a reasonable trajectory reconstruction scheme. …”
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Prediction of Hypertension Patients with Machine Learning Algorithm by Eko Priyono

“…Hypertension symptoms are often invisible, making early detection crucial to preventing serious complications. This paper aims to develop a hypertension prediction system using the Decision Tree and Random Forest algorithms, which are machine learning techniques used to solve classification and regression problems. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…This paper presents the Bison Algorithm, applied to classification problems. The algorithm, inspired by the social behavior of bison, aims to enhance the accuracy of classification tasks. …”
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Algorithmic bias and the Value Sensitive Design approach by Judith Simon, Pak-Hang Wong, Gernot Rieder

“…Recently, amid growing awareness that computer algorithms are not neutral tools but can cause harm by reproducing and amplifying bias, attempts to detect and prevent such biases have intensified. …”
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Algorithm Domination As A New Surveillance System by Ahmet Ayhan Koyuncu, Muhittin Evren

“…In this way, people can be easily manipulated and directed by algorithms. The study aims to reveal how algorithm domination occurs and how it works from a theoretical perspective.…”
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Application of machine learning algorithms in economic analysis by Mohammad Sadegh SALEM

“…This article explores the application of machine learning algorithms in economic sciences, focusing on data analysis, forecasting, and risk management. …”
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Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

“…In this paper, we investigate whether greedy algorithms, traditionally used for pedestrian-based crowdsensing, remain effective in the context of vehicular crowdsensing (VCS). …”
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Cauchy-Lanczos Algorithm for Effective Dimension Reduction by Xuansheng Wang, Linzhong Xia, Changwei Lv

“…In this paper, we implement the Cauchy interlace theorem within the Lanczos algorithm to compute the eigenvalue decomposition of large symmetric matrices, which we refer to as the Cauchy-Lanczos algorithm (abbreviated as C-Lanczos algorithm). …”
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AdaBoost algorithm based on target perturbation by Shufen ZHANG, Yanling DONG, Jingcheng XU, Haoshi WANG

“…Aiming at the problem that the multi-round iteration process in the AdaBoost algorithm will amplify the noise added to achieve differential privacy protection, which leads to slow model convergence and greatly reduced data availability, an AdaBoost algorithm based on target perturbation—DPAda was proposed.Target perturbation was used to add noise to sample weights, accurately calculated their sensitivity, and a dynamic privacy budget was given.In order to solve the problem of excessive noise superposition, three noise injection algorithms based on swing sequence, random response and improved random response were proposed.The experimental results show that compared with DPAda_Random and DPAda_Swing, DPAda_Improved achieves the privacy protection of data, has higher classification accuracy, as well as better than other differential privacy AdaBoost algorithm, and can also solve the problem of excessive noise caused by continuous noise addition.…”
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Stability of feature selection algorithm: A review by Utkarsh Mahadeo Khaire, R. Dhanalakshmi

“…High stability of the feature selection algorithm is equally important as the high classification accuracy when evaluating feature selection performance. …”
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QPSO-Based Adaptive DNA Computing Algorithm by Mehmet Karakose, Ugur Cigdem

“…In this paper, a new approach for improvement of DNA computing is proposed. This new approach aims to perform DNA computing algorithm with adaptive parameters towards the desired goal using quantum-behaved particle swarm optimization (QPSO). …”
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The diagnostic algorithm in pre-invasive cervical lesions by Mihai-George Loghin, Oana Denisa Balalau, Nicolae Bacalbasa, Adriana Vasilache, Octavian Gabriel Olaru, Andrei Vasilache, Anca Daniela Stanescu

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Improved Firefly Algorithm Based on Heuristic Information by CUI Jia-rui, LI Qing, YANG Liu-yi, WANG Heng, ZHANG Bo-yu

“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
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Comparison of fast regression algorithms in large datasets by Sengul Cangur, Handan Ankarali

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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

“…This paper aims to provide a comprehensive review of these algorithms, including evolution-based methods, swarm intelligence-based, physics-based, human-related, and hybrid metaheuristics by highlighting their key components and concepts and comparing and contrasting their similarities and differences. …”
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On routing algorithms in the internet of vehicles: a survey by Arundhati Sahoo, Asis Kumar Tripathy

“…Our study comprehensively reviews diverse routing algorithms and their associated assessment methodologies. …”
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Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

“…In order to optimize and balance resources used in projects, it becomes necessary to locate in these models not only the critical path of the maximum weighted length, but also the subcritical paths closest to it having a shorter length in relation to it. The aim of the work is to synthesize and analyze an algorithm for finding k-shortest paths between the input and output network vertices, on which basis the above-mentioned subcritical paths can be identified.Methods. …”
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A Calibration Algorithm for Microelectromechanical Inertial Sensors by Nguyen Trong Yen, Nguyen Quoc Khanh, Ha Manh Thang

“…Therefore, alternative methods for MEMS sensor calibration should be developed.Aim. To develop a calibration algorithm for microelectromechanical (MEMS) sensors, which allows calibrating sensors regardless of the angular orientation of the sensor axes relative to a reference coordinate system at the initial installation, as well as to simplify the design of testing tools.Materials and methods. …”
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