Search Results - statistical algorithm

INDIVIDUAL PROGNOSTIC ALGORITHM FOR ESTIMATING THE RISK OF ESOPHAGEAL CANCER PROGRESSION AFTER SURGICAL TREATMENT by O. I. Kit, E. Yu. Zlatnik, A. L. Bazaev, A. A. Demidova, I. A. Novikova

“…Since the role of lymphocytic infiltration in EC remains controversial, our goal was to develop a prognostic algorithm for estimating the risk of esophageal squamous cell carcinoma progression, considering its lymphocytic microenvironment.Material and Methods. …”
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Hybrid metaheuristic-driven 3D path planning for UAVs in complex urban environments: a multi-objective fusion framework by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Xi Zhao

“…This study introduces GS-PSO, a novel multi-stage hybrid framework designed to address this challenge by sequentially integrating Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and a Genetic Algorithm (GA). Key innovations include dynamic chaotic inertia weights in PSO for enhanced exploration and specialized GA operators for fine-grained refinement. …”
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Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL) by Tania Ghosh, Royce K. P. Zia, Kevin E. Bassler

“…The original <i>K</i> ensemble partitions and each of the <i>L</i> partitions used for an update are found using a simple “base” partitioning algorithm. We perform an empirical study of how the effectiveness of RenEEL depends on the values of <i>K</i> and <i>L</i> and relate the results to the extreme value statistics of record-breaking. …”
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Prospects for the Integration of Google Trends Data and Official statistics to Assess social Comfort and Predict the Financial situation of the Population by M. V. Shakleinaa, M. I. Volkova, K. I. Shaklein, S. R. Yakiro

“…The proposed algorithm for working with big data allowed to determine the components of social comfort (“Education and Training”, “Safety”, “Leisure and free time”), for which it is necessary to directly integrate big data in the system of primary statistical accounting with further data processing and obtaining composite indicators. …”
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Correlative characteristics of the neural network with LMS-algorithm tuning with square constraint with weight vector jitter by S. V. Zimina

“…The results of statistical analysis of neural network tuning by LMS-algorithm with square constraint for weight vector jitter are represented. …”
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Variable Selection Using aModified Gibbs Sampler Algorithm with Application on Rock Strength Dataset by Ghadeer J. M. Mahdi, Othman M. Salih

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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…Due to the nonlinear nature of laser cutting, statistical analysis is necessary to obtain a satisfactory surface finish. …”
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Dynamic Algorithm for Mining Relevant Association Rules via Meta-Patterns and Refinement-Based Measures by Houda Essalmi, Anass El Affar

“…The mining of relevant association rules from transactional databases is a fundamental process in data mining. Traditional algorithms, however, will typically be based on fixed thresholds and general rule generation, with the result being large and redundant outcomes. …”
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Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification by Fhira Nhita, Asniar, Isman Kurniawan, Adiwijaya

“…Technically, we performed a sample denoising process with Tomek links before applying the SMOTE and then followed by sample optimization with an evolutionary algorithm after the SMOTE. A genetic algorithm (GA) as one of the popular evolutionary algorithms is utilized for sample optimization including synthetic samples of SMOTE and original samples from both classes. …”
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Modification of the WaldBoost algorithm to improve the efficiency of solving pattern recognition problems in real-time by A. N. Chesalin, S. Ya. Grodzenskiy, M. Yu. Nilov, A. N. Agafonov

“…The efficiency of the proposed algorithm is shown by specific examples. The results are confirmed by statistical modeling on several data sets. …”
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Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

“…One possible approach is the use of algorithms for automated ECG processing. Such algorithms perform  clustering of cardiac signals by dividing the ECG into complexes of similar cardiac signals. …”
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Miniaturized NIRS Coupled with Machine Learning Algorithm for Noninvasively Quantifying Gluten Quality in Wheat Flour by Yuling Wang, Chen Zhang, Xinhua Li, Longzhu Xing, Mengchao Lv, Hongju He, Leiqing Pan, Xingqi Ou

“…The model’s robustness was confirmed through external validation and statistical analyses (<i>p</i> > 0.05 for F-test and <i>t</i>-test). …”
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Smart Watch Sensors for Tremor Assessment in Parkinson’s Disease—Algorithm Development and Measurement Properties Analysis by Giulia Palermo Schifino, Maira Jaqueline da Cunha, Ritchele Redivo Marchese, Vinicius Mabília, Luis Henrique Amoedo Vian, Francisca dos Santos Pereira, Veronica Cimolin, Aline Souza Pagnussat

“…The algorithm demonstrated moderate to strong correlations between smartwatch and commercial IMU data, effectively distinguishing individuals with PD from healthy controls showing associations with clinical measures, such as the MDS-UPDRS III. …”
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Effective targeted planning of optoelectronic spacecraft operation by R. R. Khalilov

“…The article also presents the results of statistical simulation of the developed algorithm and highlights the key conclusions necessary for the organization of work on the development of commercial remote sensing of the Earth from space, as well as the development of spacecraft based on constellations of small spacecraft.…”
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Image encryption using dna-sequences, chaotic dynamics and hash fuctions by A. V. Sidorenko, M. S. Shishko

“…It is evaluated the resistance of the investigated algorithm to statistical and linear cryptanalysis which are depended of the chaotic maps.…”
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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence by Mónica Gómez-Ríos, Maximiliano Paredes-Velasco, J. Ángel Velázquez-Iturbide, Miguel Ángel Quiroz Martínez

“…However, its application is much less common in more abstract fields, such as programming and algorithms. Some augmented reality apps for algorithm education exist, but their effect remains insufficiently assessed. …”
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RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS by A. S. Khramiankou, S. N. Yarmolik

“…Calculation results of radar-tracking objects recognition characteristics for three simulated classes to sequential algorithm and one-step Bayesian classification algorithm are produced.…”
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A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods by Sara Sahib Mohammed Zaki, Hawraz Nadhim Jabbar, Sozan Saber Haider

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Algorithm of software package of intellectual decision support when designing cyber security system at the enterprise by E. A. Vitenburg, A. V. Nikishova

“…Research objectives are as follows: to develop an algorithm and a mathematical model of the software package for intellectual decision support.Materials and Methods. …”
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DEVELOPMENT AND JUSTIFICATION OF THE ESTIMATION ALGORITHM OF THE BONE SYSTEM METABOLISM IN CHILDREN WITH TYPE 1 DIABETES MELLITUS by L. G. Ivchenko, I. M. Bykov, A. A. Basov, F. N. Gilmiyarova, D. A. Domenyuk, G. M.-A. Budaychiev, S. O. Ivanyuta

“…This study was conducted to develop the optimal methodological approaches to early diagnosis and comprehensive treatment of type 1 diabetes mellitus in children by creating an estimation algorithm of the bone system metabolism based on the results of the studies of calcium phosphorus metabolism, calcium-regulating hormones and bone mineral density.Materials and methods. …”
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