Article Fingerprint
ReserarchID
CSTSDE545K0
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
Now a days so many organization create and share the textual description of their products or service and action etc. it is contains for most amount collection of structured data and which is remains worried about unstructured the information, if data extraction structural relation by using algorithms facilitating, they are more cost and inaccurate information. When is working top of text, it does not is contains structural information. An anther approach to the generating of the structure of metadata by the identifying that documents, that is likely to contain information of interest. That data are going to be valuable for questioning information based used. These approaches based on the idea that humans are more likely to add the necessary metadata during generate the time. This process based on the collaborative adaptive data sharing platform[CADS] approach to query workload by up to 50 percent only visibility of document. So further probing algorithm with Bayesian approach technique was included, that can be improve the efficient of visibility of document or data with respect the query and content workload based on the more than 50 percent improve.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
