بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elementi rd » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elementi rd » elementi per (توسيع البحث)
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
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article -
63
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64
Parallel processing
منشور في 2005احصل على النص الكامل
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conferenceObject -
65
Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
منشور في 2024"…In the second part, interactive visualizations are developed to present the findings in an engaging and intuitive manner. Techniques such as tree maps and radar plots are utilized to transform the analyzed data into visually appealing representations.…"
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66
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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67
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Unfortunately, PCA’s reliability drops when data has nonlinear characteristics as industrial processes. …"
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70
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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71
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72
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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73
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74
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75
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76
Degree-Based Network Anonymization
منشور في 2020احصل على النص الكامل
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masterThesis -
77
Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
منشور في 2025"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
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78
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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masterThesis -
79
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
منشور في 2020"…The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and so on. …"
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80
Topics in graph algorithms
منشور في 2003"…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
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masterThesis