Descriptive statistics
Table 2 reports the descriptive statistics of the main variables. The explained variable Supply Chain Efficiency (SCE) has a mean value of 4.582 and a standard deviation of 1.118, which illustrates that there are large…
Category: 7. Maths
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AI-powered knowledge organization: a next-generation approach to library classification using DeepSeek-R1
Data description and experimental environment
In this study, the dataset was sourced from Chinese book resources on the Duxiu academic platform18. Considering that Class Z (General Books) primarily includes special publication types such as…
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Deep reinforcement learning-based thermal-visual collaborative optimization control system for multi-sensory art installations
Overall system architecture design
The system implements a four-layer architecture integrating: (1) Perception layer with IEEE 1588 synchronized multi-modal sensors36, (2) Fusion layer employing adaptive Kalman/Particle filtering selection based…
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Music emotion classification based on random swap algorithm
Clustering emotion labels
The clustering algorithms used were not new. However, the strength of using well-established and tested methods is that there is more confidence in the results than when using a completely new algorithm that has not been…
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Machine learning analysis and simulation of pharmaceutical drying process based on prediction of concentration distribution and mass transfer
This section presents the results obtained from the application of three models—DT, RR, and SVR—to predict the concentration distribution in a pharmaceutical drying process. A range of performance metrics, including the Coefficient of…
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Federated nnU-Net for privacy-preserving medical image segmentation
Reza, A. et al. Medical image segmentation review: The success of u-net. In IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).
Yang, X. et al. A medical image segmentation method based on multi-dimensional statistical features….
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Research on gear shaving error analysis based on knowledge graph
Knowledge graph construction process
Knowledge graph construction methods are categorized as top-down and bottom-up40. Top-down approaches are often suitable for situations where domain knowledge is clear, data size is small, and domain knowledge…
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Responsible AI in student management: preventing misdecision in career choice of university students under inaccurate guidance
Choosing a career path is one of the most crucial but challenging aspects of a university student’s life, as it involves both self-discovery and social interaction. A growing number of factors, including digital ecosystems, personal preferences…
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Symmetric bug prediction in software requirement by machine learning algorithms
The examination and characteristics of the acquired dataset are to forecast the defect inflow completion time, and determine which information criterion is most useful for selecting the most accurate fit. This also looks at how to leverage…
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A novel aggregation framework based on complex n,m-rung orthopair fuzzy aczel-alsina operators for renewable energy decision-making
This section focuses on the application of aczel-alsina-based weighted average and geometric aggregation operators for processing data within the Cn,m-ROFS framework. The methodology is presented in detail, highlighting both the mathematical…
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