Matches in SemOpenAlex for { <https://semopenalex.org/work/W2771335451> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2771335451 abstract "Pseudo intelligence is a concept which is a combination of technologies and processing (i.e. Data, Virtualization, cloud Computing, Machine Learning etc.). Machine learning (ML) is the fastest growing field in computer science. the goal of ML is to develop algorithm which can learn and improve over time and can be used for prediction algorithm that can interact with agent and can optimize their learning behavior through these interactions where the agent can also be a human. Data analytic technique (Regression analysis) is used to help to understand the interrelationships among variable and for prediction. This paper discusses about working Application of Pseudo intelligence using electricity informatics. The result of pseudo intelligence predicts future need of electricity usage in home." @default.
- W2771335451 created "2017-12-22" @default.
- W2771335451 creator A5021459001 @default.
- W2771335451 creator A5037584129 @default.
- W2771335451 creator A5078496897 @default.
- W2771335451 date "2017-04-01" @default.
- W2771335451 modified "2023-09-23" @default.
- W2771335451 title "Proposed method of Pseudo intelligence implemented on home usage electric supply" @default.
- W2771335451 cites W2063866856 @default.
- W2771335451 cites W2114830702 @default.
- W2771335451 cites W2115393328 @default.
- W2771335451 cites W2134516133 @default.
- W2771335451 cites W2300445845 @default.
- W2771335451 cites W3120740533 @default.
- W2771335451 cites W3144561492 @default.
- W2771335451 doi "https://doi.org/10.1109/iceca.2017.8203635" @default.
- W2771335451 hasPublicationYear "2017" @default.
- W2771335451 type Work @default.
- W2771335451 sameAs 2771335451 @default.
- W2771335451 citedByCount "1" @default.
- W2771335451 countsByYear W27713354512018 @default.
- W2771335451 crossrefType "proceedings-article" @default.
- W2771335451 hasAuthorship W2771335451A5021459001 @default.
- W2771335451 hasAuthorship W2771335451A5037584129 @default.
- W2771335451 hasAuthorship W2771335451A5078496897 @default.
- W2771335451 hasConcept C111919701 @default.
- W2771335451 hasConcept C119599485 @default.
- W2771335451 hasConcept C119857082 @default.
- W2771335451 hasConcept C127413603 @default.
- W2771335451 hasConcept C134306372 @default.
- W2771335451 hasConcept C154945302 @default.
- W2771335451 hasConcept C182365436 @default.
- W2771335451 hasConcept C191630685 @default.
- W2771335451 hasConcept C202444582 @default.
- W2771335451 hasConcept C206658404 @default.
- W2771335451 hasConcept C33923547 @default.
- W2771335451 hasConcept C41008148 @default.
- W2771335451 hasConcept C513985346 @default.
- W2771335451 hasConcept C79974875 @default.
- W2771335451 hasConcept C9652623 @default.
- W2771335451 hasConceptScore W2771335451C111919701 @default.
- W2771335451 hasConceptScore W2771335451C119599485 @default.
- W2771335451 hasConceptScore W2771335451C119857082 @default.
- W2771335451 hasConceptScore W2771335451C127413603 @default.
- W2771335451 hasConceptScore W2771335451C134306372 @default.
- W2771335451 hasConceptScore W2771335451C154945302 @default.
- W2771335451 hasConceptScore W2771335451C182365436 @default.
- W2771335451 hasConceptScore W2771335451C191630685 @default.
- W2771335451 hasConceptScore W2771335451C202444582 @default.
- W2771335451 hasConceptScore W2771335451C206658404 @default.
- W2771335451 hasConceptScore W2771335451C33923547 @default.
- W2771335451 hasConceptScore W2771335451C41008148 @default.
- W2771335451 hasConceptScore W2771335451C513985346 @default.
- W2771335451 hasConceptScore W2771335451C79974875 @default.
- W2771335451 hasConceptScore W2771335451C9652623 @default.
- W2771335451 hasLocation W27713354511 @default.
- W2771335451 hasOpenAccess W2771335451 @default.
- W2771335451 hasPrimaryLocation W27713354511 @default.
- W2771335451 hasRelatedWork W122515038 @default.
- W2771335451 hasRelatedWork W2020064991 @default.
- W2771335451 hasRelatedWork W2150303019 @default.
- W2771335451 hasRelatedWork W2169735207 @default.
- W2771335451 hasRelatedWork W2780747659 @default.
- W2771335451 hasRelatedWork W2783616455 @default.
- W2771335451 hasRelatedWork W2810997783 @default.
- W2771335451 hasRelatedWork W2811488890 @default.
- W2771335451 hasRelatedWork W2904417913 @default.
- W2771335451 hasRelatedWork W2970222839 @default.
- W2771335451 hasRelatedWork W2970776001 @default.
- W2771335451 hasRelatedWork W3014985939 @default.
- W2771335451 hasRelatedWork W3026112510 @default.
- W2771335451 hasRelatedWork W3046105565 @default.
- W2771335451 hasRelatedWork W3090471954 @default.
- W2771335451 hasRelatedWork W3174691103 @default.
- W2771335451 hasRelatedWork W3195372803 @default.
- W2771335451 hasRelatedWork W3196790645 @default.
- W2771335451 hasRelatedWork W3198921849 @default.
- W2771335451 hasRelatedWork W3201294689 @default.
- W2771335451 isParatext "false" @default.
- W2771335451 isRetracted "false" @default.
- W2771335451 magId "2771335451" @default.
- W2771335451 workType "article" @default.