Results 11 to 20 of about 151,265 (269)
Computational Intelligence in Cloud Computing [PDF]
Cloud Computing (CC) is a model that enables ubiquitous, convenient, and on-demand network access to a shared pool of configurable computing resources. In CC applications, it is possible to access both software and hardware architectures remotely and with little or no knowledge about their physical or logical locations.
R. Donida Labati +4 more
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D‐BERT: Incorporating dependency‐based attention into BERT for relation extraction
Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text classification or sequence ...
Yuan Huang +4 more
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A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
Clustering is a grouping technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different sources in the last decade, new paradigms have emerged.
Luis Alfonso Pérez Martos +3 more
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Approximate Computing, Intelligent Computing [PDF]
Approximate computing could be considered intelligent computing, because it uses energy resources to perform exact computation only when needed and approximate whenever possible.
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Intelligent cloud computing [PDF]
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PAVONE, MARIO FRANCESCO +2 more
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The population of the earth is increasing at a very rapid rate. Ensuring access to nutritious food is essential to the survival of the world's population, given this continued growth.
M. Sowmiya, S. Krishnaveni
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In this research, we introduce a classification procedure based on rule induction and fuzzy reasoning. The classifier generalizes attribute information to handle uncertainty, which often occurs in real data.
Martin Tabakov +3 more
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In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented.
Florian Raab +4 more
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Isolation Forest With Exclusion of Attributes Based on Shapley Index
Recognizing anomalies is an extremely important process in data analysis, aimed at identifying patterns in data that deviate from known norms or typical standards.
Albert Rachwal +3 more
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Face Recognition Based on CSGF(2D)2PCANet
Face recognition has a great potential to play an important role in computer vision field. However, the majority of face recognition methods are based on the low-level features, which may not yield good results.
Jun Kong +4 more
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