بدائل البحث:
research algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data research » do research (توسيع البحث)
element » elements (توسيع البحث)
research algorithm » search algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data research » do research (توسيع البحث)
element » elements (توسيع البحث)
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Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm
منشور في 2024"…The results obtained using different algorithms are compared with those obtained using mWOA. …"
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Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…We will expose in this paper a similar strategy for obtaining polynomial-time approximation algorithms. Our method features the use of approximation-preserving reductions, akin to the notion of parameterized reductions. …"
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article -
4
Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
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conferenceObject -
5
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
6
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…Graph contraction leads to remarkable reductions in mapping time, while maintaining good mapping qualities. It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
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masterThesis -
7
A comparison of data mapping algorithms for parallel iterative PDE solvers
منشور في 1995"…Based on the comparison results, we recommend the use of the simplest and fastest (PQ) of the six algorithms considered for sequential compile-time mapping of 2-dimensional meshes.…"
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8
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…The experiments also yield better results for G-means in terms of the coefficient of variance and the execution time.…"
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article -
9
Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…The mathematical design and methodology of the complete PV system were detailed in our prior research, titled "Dynamic and Adaptive Maximum Power Point Tracking Using Sequential Monte Carlo Algorithm for Photovoltaic System" by Odat et al. (2023) [1]. …"
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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13
Topics in graph algorithms
منشور في 2003احصل على النص الكامل
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masterThesis -
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BUC algorithm for iceberg cubes
منشور في 2003"…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
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conferenceObject -
16
A Survey of Data Clustering Techniques
منشور في 2023"…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…"
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masterThesis -
17
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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18
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Researchers have focused on using historical charging data for predictions of behavior such as departure time and energy needs. …"
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A discrete-time learning control algorithm
منشور في 1994احصل على النص الكامل
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conferenceObject