Determination of the FIFO-stack size for the algorithm of the image region growing by V. Yu. Tsviatkou

“…The aim of the work is to derive an expression that allows determining the size of the FIFO-stack for storing the coordinates of adjacent pixels depending on the image size for the segmentation algorithm based on region growing. …”
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ALGORITHMS FOR IDENTIFYING DRUG-RESISTANCE MUTATIONS IN M. TUBERCULOSIS GENOMES by R. S. Sergeev, I. S. Kavaliou, A. V. Tuzikov, A. Rosenthal, A. Gabrielian

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Application of genetic algorithms to the evaluation of the fundamental frequency of stiffened plates by M. IWANIEC

“…This paper also aims the study of the influence of geometrical and material parameters of the stiffeners as well as the plate proportions on the fundamental frequency.…”
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Realization and discussion of selected artificial intelligence algorithms in computer games by Yurii Tyshchenko

“… The study explores the usage of reinforcement learning algorithms in computer card games, such as Proximal Policy Optimization and Monte Carlo Tree Search. …”
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Solving the Traveling Salesman Problem: A Modified Metaheuristic Algorithm by Majid Yousefikhoshbakht

“…One of the major weaknesses of the PSO algorithm in the classical version is that it gets stuck in local optimizations. …”
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Performance Analysis of Machine Learning Algorithms in Intrusion Detection Systems by Mustafa İlbaş, Yusuf Sönmez, Fethi Mustafa Çimen

“…In this paper, classification was made using NSL-KDD dataset and SVM, KNN, Bayesnet, NavieBayes, J48 and Random Forest algorithms, and it was aimed to compare performance of these classifications by using WEKA. …”
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Comparative Analysis of Machine Learning Algorithms on Family Wellness Classification by Retno Budiarti, Febri Hemarani, Mohammad Reza, Rindi Melati Mulyasari

“…One factor that influences family welfare is the amount of per capita expenditure. This study aims to compare the performance of three machine learning algorithms, namely KNN (K-Nearest Neighbors), random forest, and naive Bayes, in classifying the status of families per province in Indonesia as prosperous or not prosperous. …”
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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…This study’s approach involves data collecting, system design, implementation, data analysis, and experimental setup. This research aimed to identify robust algorithms for detecting financial fraud. …”
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Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot by Lin-Lin Wang, Li-Xin Pan

“…This research aims to improve autonomous navigation of coal mine rescue and detection robot, eliminate the danger for rescuers, and enhance the security of rescue work. …”
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Apply Block Ciphers Using Tiny Encryption Algorithm (TEA) by Hana Rashied Ismaeel

“…Individually, they provide confidentiality and privacy. The Aim of this paper is to Apply symmetric block ciphers algorithm which is called Tiny Encryption algorithm (TEA). …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“…To minimize the harmful impact, it is crucial to identify rumors quickly. This study aims to build a learning model for detecting fake news. …”
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Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem by Vladimir V. Vasilchikov

“…The paper proposes a parallel algorithm for solving the Graph-Subgraph Isomorphism Problem and makes an experimental study of its efficiency. …”
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Supporting the editing of dot maps using the spectral clustering algorithm by Dziuba Natalia, Szombara Stanisław

“…In the study, equal-size spectral clustering algorithm was used, which was modified with a function equalizing the number of points in clusters. …”
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Perioperative Management of Patients Receiving Antithrombotic Therapy in Schemes and Algorithms by O. N. Dzhioeva, E. A. Rogozhkina, O. M. Drapkina

“…The introduction of a checklist into clinical practice for each planned surgical patient will allow us to calculate the individual risk of bleeding and thromboembolic complications, and provide an optimal preventive strategy for perioperative management of the patient. The algorithms and schemes presented in the article for the perioperative management of patients with non-cardiac interventions are aimed at standardizing the management of patients before non-cardiac surgical interventions, which will reduce hemorrhagic risks in the presence of the necessary antithrombotic therapy.…”
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An Adaptive Resistance Perturbation Based MPPT Algorithm for Photovoltaic Applications by Maheswaran Gunasekaran, Vijayakumar Krishnasamy, Sivakumar Selvam, Dhafer J. Almakhles, Norma Anglani

“…The RP&#x0026;O operates the PV array at maximum power point (MPP), and the ARC limit continuously monitors the resistance of the PV <inline-formula> <tex-math notation="LaTeX">$R_{pv} $ </tex-math></inline-formula> to determine the operating limit of MPP. The ultimate aim of proposing this algorithm is to reduce the oscillations and improve MPP&#x2019;s tracking performance for sudden variation in temperature and irradiance conditions. …”
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YOLO-Dynamic: A Detection Algorithm for Spaceborne Dynamic Objects by Haiying Zhang, Zhengyang Li, Chunyan Wang

“…This paper presents YOLO-Dynamic, a novel detection algorithm aimed at addressing the limitations of existing models, particularly in complex environments and small-object detection. …”
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The Successful Prediction of Waterflooding Using a Feed-Forward Algorithm by Qunazatul Shima Batubara*, Tomi Erfando

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An improved elastic net clustering algorithm with dynamic parameter strategy by Junyan Yi, Maoming Wang, Changsheng Zhou

“…Moreover, the proposed IENDP algorithm is a self-organizing and self-learning algorithm that does not require manual guidance and training. …”
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Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy by Xiaoyan Sun, Xiaoyan Sun, Ying Jiang

“…Optimizing such regimens is especially challenging due to the nonlinear dynamics of tumor-immune interactions and strict feasibility boundaries. This study aims to develop an intelligent optimization approach capable of handling these complexities within a mathematical tumor treatment model.MethodsWe propose an Adaptive Dynamic ϵ-Simulated Annealing (ADϵSA) algorithm that integrates a multi-population search framework, dynamic ϵ-constraint control, and boundary-aware mutation mechanisms. …”
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