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processing algorithm » processing algorithms (توسيع البحث)
setting algorithm » scheduling algorithm (توسيع البحث)
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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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masterThesis -
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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A Graph Heuristic Approach for the Data Path Allocation Problem
منشور في 2022الموضوعات: "…Electronic circuits -- Data processing…"
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masterThesis -
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Automatic keyword extraction from a real estate classifieds data set
منشور في 2011"…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …"
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Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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Allocating data to distributed-memory multiprocessors by genetic algorithms
منشور في 2016"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
منشور في 2018"…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge
منشور في 2021"…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…To achieve this, two big data processing paradigms are evaluated with a set of qualitative and quantitative metrics with subsequent recommendations. …"
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article -
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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masterThesis -
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An efficient approach for textual data classification using deep learning
منشور في 2022"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"
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Web Based Online Hybrid Teaching Method of Network Music Course
منشور في 2022"…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
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masterThesis