بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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21
Clustering/partitioning algorithms and comparative analysis
منشور في 1989الموضوعات: احصل على النص الكامل
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masterThesis -
22
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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23
Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
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masterThesis -
24
A Survey of Data Clustering Techniques
منشور في 2023الموضوعات: "…Cluster analysis -- Data processing…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
25
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26
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"
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27
A decentralized load balancing strategy for parallel search-three optimization. (c2010)
منشور في 2010الموضوعات: "…Trees (Graph theory) -- Data processing…"
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احصل على النص الكامل
masterThesis -
28
Automating UML Models Refactoring using Search-Based Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
29
A genetic-based algorithm for fuzzy unit commitment model
منشور في 2000"…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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article -
30
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31
A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
منشور في 2013الموضوعات: "…Trees (Graph theory) -- Data processing…"
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احصل على النص الكامل
masterThesis -
32
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33
A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems
منشور في 2020"…In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. …"
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34
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35
A Graph Heuristic Approach for the Data Path Allocation Problem
منشور في 2022الموضوعات: "…Electronic circuits -- Data processing…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
36
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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37
Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
منشور في 2017الموضوعات: "…Trees (Graph theory) -- Data processing…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
38
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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article -
39
Degree-Based Network Anonymization
منشور في 2020"…Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
40
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"