Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200746739> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3200746739 endingPage "90" @default.
- W3200746739 startingPage "69" @default.
- W3200746739 abstract "Changes have always been a major part of life; we experience changes in our body, thoughts, surroundings, and so do with the technology. Artificial Intelligence (AI)–based products brought a revolution in the modern world, making a global impact on technology. This technology not only gave life to a machine but also imparted emotions into it. Whereas, when AI connects with Internet of Things (IoT), it enabled us to operate the machines remotely. During the entire communication process, a huge volume of data chunks is transferred to the cloud so that machines can communicate more efficiently. In this chapter, we will discuss the present scenario of AI in Big Data and the IoT. The languages are utilized in NLP and ANN and their algorithms to predict the best possible results in an optimized manner. We look deeper into IoT modifications which will enhance the properties of the system and its contribution in longer productivity. The major objective of this chapter is to dig deeper into a broad range of applications which can be consumed by AI and ML technology, outcomes of these modifications by keeping economic factors into account, and to have a predictive analysis of the AI systems." @default.
- W3200746739 created "2021-09-27" @default.
- W3200746739 creator A5047553305 @default.
- W3200746739 creator A5060182857 @default.
- W3200746739 creator A5083564092 @default.
- W3200746739 date "2021-09-12" @default.
- W3200746739 modified "2023-10-15" @default.
- W3200746739 title "The Technological Shift: AI in Big Data and IoT" @default.
- W3200746739 cites W1557659423 @default.
- W3200746739 cites W1990488619 @default.
- W3200746739 cites W2010936689 @default.
- W3200746739 cites W2060009244 @default.
- W3200746739 cites W2063364984 @default.
- W3200746739 cites W2076261257 @default.
- W3200746739 cites W2086453666 @default.
- W3200746739 cites W2086987155 @default.
- W3200746739 cites W2095560417 @default.
- W3200746739 cites W2109574129 @default.
- W3200746739 cites W2120575449 @default.
- W3200746739 cites W2150291840 @default.
- W3200746739 cites W2163150789 @default.
- W3200746739 cites W2169278871 @default.
- W3200746739 cites W224934307 @default.
- W3200746739 cites W2416376918 @default.
- W3200746739 cites W2726150830 @default.
- W3200746739 cites W2794284562 @default.
- W3200746739 cites W2919115771 @default.
- W3200746739 cites W2934302500 @default.
- W3200746739 cites W4296886862 @default.
- W3200746739 cites W607853484 @default.
- W3200746739 doi "https://doi.org/10.1002/9781119761655.ch4" @default.
- W3200746739 hasPublicationYear "2021" @default.
- W3200746739 type Work @default.
- W3200746739 sameAs 3200746739 @default.
- W3200746739 citedByCount "2" @default.
- W3200746739 countsByYear W32007467392023 @default.
- W3200746739 crossrefType "other" @default.
- W3200746739 hasAuthorship W3200746739A5047553305 @default.
- W3200746739 hasAuthorship W3200746739A5060182857 @default.
- W3200746739 hasAuthorship W3200746739A5083564092 @default.
- W3200746739 hasConcept C111919701 @default.
- W3200746739 hasConcept C121332964 @default.
- W3200746739 hasConcept C124101348 @default.
- W3200746739 hasConcept C127413603 @default.
- W3200746739 hasConcept C136764020 @default.
- W3200746739 hasConcept C139719470 @default.
- W3200746739 hasConcept C146978453 @default.
- W3200746739 hasConcept C154945302 @default.
- W3200746739 hasConcept C162324750 @default.
- W3200746739 hasConcept C204323151 @default.
- W3200746739 hasConcept C204983608 @default.
- W3200746739 hasConcept C20556612 @default.
- W3200746739 hasConcept C2522767166 @default.
- W3200746739 hasConcept C41008148 @default.
- W3200746739 hasConcept C62520636 @default.
- W3200746739 hasConcept C75684735 @default.
- W3200746739 hasConcept C79974875 @default.
- W3200746739 hasConcept C81860439 @default.
- W3200746739 hasConcept C98045186 @default.
- W3200746739 hasConceptScore W3200746739C111919701 @default.
- W3200746739 hasConceptScore W3200746739C121332964 @default.
- W3200746739 hasConceptScore W3200746739C124101348 @default.
- W3200746739 hasConceptScore W3200746739C127413603 @default.
- W3200746739 hasConceptScore W3200746739C136764020 @default.
- W3200746739 hasConceptScore W3200746739C139719470 @default.
- W3200746739 hasConceptScore W3200746739C146978453 @default.
- W3200746739 hasConceptScore W3200746739C154945302 @default.
- W3200746739 hasConceptScore W3200746739C162324750 @default.
- W3200746739 hasConceptScore W3200746739C204323151 @default.
- W3200746739 hasConceptScore W3200746739C204983608 @default.
- W3200746739 hasConceptScore W3200746739C20556612 @default.
- W3200746739 hasConceptScore W3200746739C2522767166 @default.
- W3200746739 hasConceptScore W3200746739C41008148 @default.
- W3200746739 hasConceptScore W3200746739C62520636 @default.
- W3200746739 hasConceptScore W3200746739C75684735 @default.
- W3200746739 hasConceptScore W3200746739C79974875 @default.
- W3200746739 hasConceptScore W3200746739C81860439 @default.
- W3200746739 hasConceptScore W3200746739C98045186 @default.
- W3200746739 hasLocation W32007467391 @default.
- W3200746739 hasOpenAccess W3200746739 @default.
- W3200746739 hasPrimaryLocation W32007467391 @default.
- W3200746739 hasRelatedWork W2218513093 @default.
- W3200746739 hasRelatedWork W2497432351 @default.
- W3200746739 hasRelatedWork W2499527417 @default.
- W3200746739 hasRelatedWork W2910064364 @default.
- W3200746739 hasRelatedWork W2960264696 @default.
- W3200746739 hasRelatedWork W4206777497 @default.
- W3200746739 hasRelatedWork W4244478748 @default.
- W3200746739 hasRelatedWork W4247566972 @default.
- W3200746739 hasRelatedWork W4255224757 @default.
- W3200746739 hasRelatedWork W3090563135 @default.
- W3200746739 isParatext "false" @default.
- W3200746739 isRetracted "false" @default.
- W3200746739 magId "3200746739" @default.
- W3200746739 workType "other" @default.