Algorithm of management of patient with alcohol-induced liver disease by M. V. Mayevskaya, M. A. Morozova

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Research on the Intelligent Bus Scheduling System Based on Genetic Algorithm by LIU Jiguo

“…Aiming at the problem of bus scheduling optimization, it analyzed the bus line model and the hierarchical characteristics of different levels of bus lines, proposed a bus scheduling model based on genetic algorithm and established the objective function and constraints. …”
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SIFT Feature-Based Video Camera Boundary Detection Algorithm by Lingqiang Kong

“…Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. …”
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Design and Verification of Gravity Influence Compensation Algorithm on Load End by LIU Yan, WU Jun-feng, XIA Ke-rui, MA Chang-you

“…Aiming at the problem that the measuring results of wrist force sensor can be influenced by load end’s attitude change when mechanical arm moves，this paper proposes a load gravity compensation algorithm for wrist force sensor. …”
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Dynamic Path Optimization Based on Improved Ant Colony Algorithm by Juan Cheng

“…Dynamic path optimization is an important part of intelligent transportation systems (ITSs). Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path. …”
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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

“…We model this challenge as an Integer Linear Programming (ILP) problem, aiming to maximize the system’s overall profit. To mitigate the computational complexity of solving the ILP problem, we propose an efficient heuristic algorithm. …”
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Design of the Fast Algorithm for Discrete Orthogonal Transforms and Their Unified Architectures by HUANG Hai, LIU Hong-yu, XING Lin, NA Ning, LI Chun-bao

“…Therefore，it is an unsolved problem to study a multi-type，arbitrary point DOT fast algorithm and its general architecture. Aiming at the above problems，this paper proposes a fast algorithm based on COＲDIC for DOT and designs a general architecture that can implement multiple orthogonal transform algorithms. …”
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A lightweight 256 hexadecimal character substitution Cipher algorithm by Ibrahim Lawal, Musa Yusuf, Adamu Sulaiman Usman, Oluwasegun Ishaya Adelaiye

“…This paper proposes a Hexadecimal Character Substitution Cipher (HCSC) algorithm aimed to reduce the computational resource utilization and reduce the size of the ciphertext after encryption thereby making the proposed algorithm suitable for deployment in mobile devices. …”
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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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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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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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