Search Results - (( using semantic data algorithm ) OR ( java application optimization algorithms ))
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A survey on textual semantic classification algorithms
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Article -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of data classification research. …”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of data classification research. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification
Published 2018“…There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. …”
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Incorporating semantic similarity measure in genetic algorithm: an approach for searching the gene ontology terms
Published 2007“…Therefore, this study combines semantic similarity measure and genetic algorithm to perform a better retrieval process for searching semantically similar terms. …”
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An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
Published 2024“…The experimental results show that the overall accuracy of BSETG algorithm is maintained between 70% and 90%, the response speed of BSETG algorithm is relatively fast, and the success rate of BSETG algorithm is relatively stable to a large extent.…”
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Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour
Published 2014“…Language processing algorithms were used to calculate the semantic similarity among all items in state-of-the-art surveys from Organisational Behaviour research. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…The detection of semantic-based text anomaly is an interesting research area which has gained considerable attention from the data mining community. …”
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Thesis -
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A Threshold-Based Combination of String and Semantic Similarity Measures for Record Linkage
Published 2011“…This threshold determines the influence of semantic similarity in the final combination algorithm. …”
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Thesis -
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Normalized Relational Storage for Extensible Markup Language (XML) Schema
Published 2011“…Results: We show that our algorithm is efficient in terms of reducing data redundancy and preserving semantic expression. …”
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Journal -
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Published 2022“…The extracted keyphrases are used to compute lexical and semantic similarity to find similar news articles. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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