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Collaborative Speed Planning Algorithm with Centralized Decision-Making for Virtual Coupling of Autonomous-Rail Rapid Tram
Published 2025-06-01“…A collaborative speed planning algorithm with centralized decision-making was proposed for the virtual coupling of autonomous-rail rapid trams, targeting the core requirements for group operation: safety, comfort, punctuality, and efficient operation at platforms. …”
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102
Application of M5 algorithm of decision tree in simulation and investigation of effective factors of erosion in rangelands and forests
Published 2023-07-01“…The aim of this paper was to identify the factors affecting interrill erosion using the M5 algorithm of decision tree in four different regions. …”
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103
Coherent Detection of Non-Orthogonal Spectrally Efficient Multicarrier Signals Using a Decision Feedback Algorithm
Published 2021-11-01“…At the same time, the efficiency of the detection algorithm with decision feedback turns out to be significantly lower than that when using the detection algorithm MLSE.Conclusion. …”
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Implementation of the C4.5 Decision Tree Algorithm in Determining PIP Recipient Students Based on Poverty
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A Cooperative Decision-Making and Control Algorithm for UAV Formation Based on Non-Cooperative Game Theory
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MODELING OF INFORMATION SECURITY SYSTEMS BASED ON MULTICRITERIA OPTIMIZATION ALGORITHMS
Published 2023-05-01Get full text
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A VIKOR-Based Sequential Three-Way Classification Ranking Method
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Survey of Autonomous Vehicles’ Collision Avoidance Algorithms
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Algorithm and simulation of automatic recommendation based on information requirements
Published 2024-12-01Get full text
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CLASSIFICATION OF TODDLER’S NUTRITIONAL STATUS USING THE ROUGH SET ALGORITHM
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Leveraging Advanced Mathematical Methods in Artificial Intelligence to Explore Heterogeneity and Asymmetry in Cross-Border Travel Satisfaction
Published 2025-06-01Subjects: “…three-factor theory…”
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119
Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree...
Published 2025-01-01“…These findings indicated that all the three algorithms have the potential to effectively model the data from atherogenic indices and lipid profile parameters but random forest and boosting were found to outperform decision tree models with respective R2 values of 0.95 and 0.92. …”
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Developing a hybrid model for comparative analysis of financial data clustering algorithms
Published 2023-09-01Get full text
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