Associative Parallel Algorithm for Dynamic Update of the Shortest Paths Tree by A. S. Nepomniaschaya

“…The paper proposes an efficient associative algorithm for dynamic update of the shortest paths tree of a directed weighted graph after deleting an edge. …”
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Osteoarthritis as an interdisciplinary problem: treatment algorithm for physicians and general practitioners by A. M. Lila, L. I. Alekseeva, E. A. Taskina, N. G. Kashevarova

“…The article presents simple and convenient algorithms, including diagnostic criteria, options for providing medical care, as well as situations (so-called red flags) that require referral of a patient to a specialist, primarily a rheumatologist. …”
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Crossroad control algorithm based on V2I-interaction by A. N. Klimovich, V. N. Shuts

“…This paper considers the novel approach to traffic management at intersection based on the use of V2I communication, describes general scheme of such approach and differences with conventional traffic light regulation. Developed algorithm of intersection management utilizes advantages of V2I communication to increase throughput of the intersection comparing to simple traffic light regulation and more advanced adaptive methods. …”
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An Efficient Illumination Estimation Algorithm for Low-Light Image Enhancement by Tirui Wu, Martin Glavin, Edward Jones

“…The key step of this algorithm is illumination map refinement, which is achieved by solving an optimization problem. …”
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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“… The rapid growth of the internet and easy communication has made it quick and simple to create and spread news. Social media users now generate and share more information than before, but some of it is false and unrelated to reality. …”
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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

“…Discrete orthogonal transform ( DOT ) is widely used in digital image processing and video compression，and it is of great practical significance to study its fast algorithm and design of general architecture. Because various video compression algorithms are widely proposed，the DOT of specific types and points cannot meet the development requirements in the field of image and video. …”
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METHOD AND ALGORITHMS OF CALCULATION OF PARAMETERS OF RELIABILITY IN ACCORDANCE WITH MULTIVARIATE DATA by E. M. Farhadzadeh, A. Z. Muradaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…Statistical functions of fiducial distributions are obtained by imitating modeling of samples of random variables for a series of numbers of random variables samples. …”
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Basic principals of the tiltrotors flight control system architecture and algorithms by M. I. Myasnikov, I. R. Ilyin

“…The possibility of using a relatively simple algorithms and structure of automatic control system during the flight and conversion between the helicopter – aircraft – helicopter modes is shown.…”
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Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Also, algorithms are proposed for accounting for simple and functional constraints in the form of equalities and inequalities when optimizing load profile. …”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…The sample test images are taken from both standard image database and high-quality images (SD and HD). …”
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Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot by Lin-Lin Wang, Li-Xin Pan

“…The concept of model predictive control is introduced into path planning of rescue and detection robot in this paper. Sampling-Based Model Predictive Control (SBMPC) algorithm is proposed basing on the construction of cost function and predictive kinematics model. …”
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Microwave Brain Lesion Detection and Localization Using Classification Algorithms by H. Şahintürk, R. Kıymaz, B. Aslanyürek, H.G. Süngülü

“…This paper contributes to the literature on microwave brain lesion localization by comparing several machine learning algorithms rather than proposing a single algorithm. …”
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ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS by Y. B. Popova, A. V. Goloburda

“…The software implementation of the proposed algorithms is implemented as a web service in the Java language.…”
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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…The use of machine learning techniques to forecast aflatoxin M1 levels in breast milk samples is examined in this study. To develop predictive models of aflatoxin M1 in breast milk, we employed well-known supervised machine learning algorithms such as Random Forest and Gradient Boosting. …”
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An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units by I. V. Gubochkin

“…It is suggested an iterative algorithm based on the Newton numerical minimization technique to search an autoregressive model of phonemes specified its multiple samples. …”
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Smoothing Algorithm of Point Cloud Based on Normal Vector Correction by XUE Ping, YAO Juan, ZOU Xue-zhou, WANG Hong-min

“…Based on the research of bilateral filtering and trilateration filtering algorithm，this paper presents an algorithm of denoising and smoothing of point cloud data based on normal vector correction. …”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…Based on this, this paper proposes generative levels of detail (LOD) algorithm based on space–time grid model. Taking the space–time grid model as the space–time guiding framework, different levels of regions are divided according to the distance and viewpoint of the camera, and then the culling operation is performed, and then the appropriate level of detail and corresponding sampling method are dynamically selected for rendering to achieve lightweighting of the CIM. …”
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Comparative Studies of Reconstruction Algorithms for Sparse-View Photoacoustic Tomography by Xueyan Liu, Shuo Dai, Xin Wang, Mengyu Wang

“…This study compares six inverse source reconstruction methods based on Lp (0≤p≤2) regularization and investigates the effects of signal sampling quantity, measurement noise, and sparsity on the performance of the reconstruction algorithms through a series of numerical simulations. …”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

“…Traditional single models show limitations in processing large-scale multimodal data.MethodsThis study constructed an interpretable ensemble learning model for maize seed variety identification through improved differential evolutionary algorithm and multimodal data fusion. Morphological and hyperspectral data of maize samples were extracted and preprocessed, and three methods were used to screen features, respectively. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…Experiments show that the improved algorithm reduces parameters by 50.2%, computational load by 46.3%, and model size by 47.6% compared to the original algorithm, with a model size of only 3.3 MB. …”
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