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augmentations » augmentation (Expand Search), argumentation (Expand Search), alimentation (Expand Search)
augmentations » augmentation (Expand Search), argumentation (Expand Search), alimentation (Expand Search)
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101
Growing hierarchical self-organizing map for filtering intrusion detection alarms
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102
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. …”
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103
The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
Published 2007“…Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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conferenceObject -
104
Towards Multimedia Fragmentation
Published 2006“…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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conferenceObject -
105
Efficient XML Structural Similarity Detection using Sub-tree Commonalities
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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conferenceObject -
106
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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107
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Published 2024“…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …”
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108
FPGA-Based Network Traffic Classification Using Machine Learning
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109
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”
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110
A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
doctoralThesis -
111
Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB
Published 2023“…Sanger sequencing verified the segregation of the two recessive gene variants with the phenotype in family members. The prediction algorithms support the pathogenicity of these variants. …”
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112
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…Our BERTopic-based approach involves 3 stages: embedding documents, clustering documents (dimension reduction and clustering), and representing topics (generating candidates and maximizing candidate relevance).…”
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113