Automatic and intelligent content visualization system based on deep learning and genetic algorithm

Increasing demand in distance education, e-learning, web-based learning, and other digital sectors (e.g., entertainment) has led to excessive amounts of e-content. Learning objects (LOs) are among the most important components of electronic content (e-content) and are preserved in learning object re...

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Vydané v:	Neural computing & applications Ročník 34; číslo 3; s. 2473 - 2493
Hlavný autor:	İnce, Murat
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.02.2022 Springer Nature B.V
Predmet:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Deep learning Distance learning Evolutionary algorithms Genetic algorithms Image Processing and Computer Vision Machine learning Natural language processing Neural networks Original Original Article Probability and Statistics in Computer Science Semantic web Subsystems Visualization Deep learning e-content visualization Genetic algorithm Panoptic segmentation
ISSN:	0941-0643, 1433-3058
On-line prístup:	Získať plný text
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