بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
developing ii » developing a (توسيع البحث), developing _ (توسيع البحث)
ii algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
developing ii » developing a (توسيع البحث), developing _ (توسيع البحث)
ii algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
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41
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…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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42
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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article -
43
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44
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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article -
45
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46
A comparison of data mapping algorithms for parallel iterative PDE solvers
منشور في 1995"…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …"
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47
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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احصل على النص الكامل
article -
48
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. …"
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49
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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masterThesis -
50
An Algorithm For Computing The Distance Between Two Circular Disks
منشور في 2020"…This paper presents an algorithm for computing the distance between two circular disks in three-dimensional space. …"
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51
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52
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53
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
54
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55
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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56
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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57
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
58
A Survey of Data Clustering Techniques
منشور في 2023"…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …"
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masterThesis -
59
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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60