Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968261567> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2968261567 abstract "Over the years, sustainable development has emerged as an extensively used theory. Radically speaking, the concept of sustainable development is a bid to blend inflating concerns regarding a variety of environmental issues along with socio-economic issues. Shifts in the demeanour of individuals, institutes and firms are presumed as a prerequisite for sustainable development. Through the mode of sustainable development, we can identify our position in the ecosystem by evaluating the comprehensive influence of our actions. Sustainable development has the possibility to sermon fundamental provocations for humanity, at present and for the future. Nevertheless to achieve this, more certainty of meaning is needed. However instead of only considering it as an environmental concern, focus has also been shifted to assimilate economic and social capacities. Artificial Intelligence and it’s subsets like machine learning and deep learning are highly effective in overcoming the hurdles which are blocking the path to sustainable future. This paper introduces a methodology which can be adopted to understand the goals of sustainable development by means of knowledge engineering, machine learning and overcome the hurdles for sustainable future through deep learning. Furthermore this paper is aimed at overcoming the hurdles of sustainable development by means of supervised learning techniques." @default.
- W2968261567 created "2019-08-22" @default.
- W2968261567 creator A5002745092 @default.
- W2968261567 creator A5027769084 @default.
- W2968261567 date "2019-08-10" @default.
- W2968261567 modified "2023-10-16" @default.
- W2968261567 title "Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning" @default.
- W2968261567 cites W14416653 @default.
- W2968261567 cites W1509394031 @default.
- W2968261567 cites W2001994011 @default.
- W2968261567 cites W2018951189 @default.
- W2968261567 cites W2042037135 @default.
- W2968261567 cites W2068006690 @default.
- W2968261567 cites W2072750586 @default.
- W2968261567 cites W2085807744 @default.
- W2968261567 cites W2087016914 @default.
- W2968261567 cites W2109316362 @default.
- W2968261567 cites W2113102527 @default.
- W2968261567 cites W2130189616 @default.
- W2968261567 cites W2279057335 @default.
- W2968261567 cites W2412393926 @default.
- W2968261567 cites W2511103557 @default.
- W2968261567 cites W2530443992 @default.
- W2968261567 cites W2569318879 @default.
- W2968261567 cites W2758680849 @default.
- W2968261567 cites W3124831883 @default.
- W2968261567 cites W4229505208 @default.
- W2968261567 doi "https://doi.org/10.1007/978-3-030-25797-2_7" @default.
- W2968261567 hasPublicationYear "2019" @default.
- W2968261567 type Work @default.
- W2968261567 sameAs 2968261567 @default.
- W2968261567 citedByCount "3" @default.
- W2968261567 countsByYear W29682615672020 @default.
- W2968261567 countsByYear W29682615672021 @default.
- W2968261567 countsByYear W29682615672022 @default.
- W2968261567 crossrefType "book-chapter" @default.
- W2968261567 hasAuthorship W2968261567A5002745092 @default.
- W2968261567 hasAuthorship W2968261567A5027769084 @default.
- W2968261567 hasConcept C127413603 @default.
- W2968261567 hasConcept C136197465 @default.
- W2968261567 hasConcept C154945302 @default.
- W2968261567 hasConcept C17744445 @default.
- W2968261567 hasConcept C199539241 @default.
- W2968261567 hasConcept C41008148 @default.
- W2968261567 hasConcept C539667460 @default.
- W2968261567 hasConcept C552854447 @default.
- W2968261567 hasConceptScore W2968261567C127413603 @default.
- W2968261567 hasConceptScore W2968261567C136197465 @default.
- W2968261567 hasConceptScore W2968261567C154945302 @default.
- W2968261567 hasConceptScore W2968261567C17744445 @default.
- W2968261567 hasConceptScore W2968261567C199539241 @default.
- W2968261567 hasConceptScore W2968261567C41008148 @default.
- W2968261567 hasConceptScore W2968261567C539667460 @default.
- W2968261567 hasConceptScore W2968261567C552854447 @default.
- W2968261567 hasLocation W29682615671 @default.
- W2968261567 hasOpenAccess W2968261567 @default.
- W2968261567 hasPrimaryLocation W29682615671 @default.
- W2968261567 hasRelatedWork W10379262 @default.
- W2968261567 hasRelatedWork W10600273 @default.
- W2968261567 hasRelatedWork W11753445 @default.
- W2968261567 hasRelatedWork W12798077 @default.
- W2968261567 hasRelatedWork W14870437 @default.
- W2968261567 hasRelatedWork W149980 @default.
- W2968261567 hasRelatedWork W3896870 @default.
- W2968261567 hasRelatedWork W5630813 @default.
- W2968261567 hasRelatedWork W6782465 @default.
- W2968261567 hasRelatedWork W715261 @default.
- W2968261567 isParatext "false" @default.
- W2968261567 isRetracted "false" @default.
- W2968261567 magId "2968261567" @default.
- W2968261567 workType "book-chapter" @default.