Matches in SemOpenAlex for { <https://semopenalex.org/work/W3126173878> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3126173878 endingPage "231" @default.
- W3126173878 startingPage "226" @default.
- W3126173878 abstract "Artificial Intelligence and especially Machine Learning have become main topics in the scientific community as well as in industry. These techniques seem to be a solution for complex problems and are suggested even for critical applications such as the medical diagnosis, predictive analytic in finance or autonomous driving. But will it be feasible to employ such techniques in critical systems in the avionics, train, or medical domain taking into account the current regulations in domain-specific standard relating to dependability? Validation, verification and certification in these domains strongly rely on explicit traceability and provability of functional and dependability requirements down to the code level. This seems to be impossible for components derived using e.g. learning approaches. Nonetheless, scientific community and industry do not want to lose the advantages related to AI-based techniques – new ways to ensure the required level of confidence just need to be found. This is a process that requires people with different professional background to work together – and it has started. This paper presents selected aspects relating to the current state of the art with regard to AI and dependable systems and describes ongoing activities and ideas for obstacle detection and routing for autonomous driving at HAW Hamburg." @default.
- W3126173878 created "2021-02-15" @default.
- W3126173878 creator A5020643438 @default.
- W3126173878 creator A5071959159 @default.
- W3126173878 date "2020-01-01" @default.
- W3126173878 modified "2023-09-29" @default.
- W3126173878 title "Can AI-based Components be Part of Dependable Systems?" @default.
- W3126173878 hasPublicationYear "2020" @default.
- W3126173878 type Work @default.
- W3126173878 sameAs 3126173878 @default.
- W3126173878 citedByCount "0" @default.
- W3126173878 crossrefType "journal-article" @default.
- W3126173878 hasAuthorship W3126173878A5020643438 @default.
- W3126173878 hasAuthorship W3126173878A5071959159 @default.
- W3126173878 hasConcept C112930515 @default.
- W3126173878 hasConcept C115903868 @default.
- W3126173878 hasConcept C127413603 @default.
- W3126173878 hasConcept C134306372 @default.
- W3126173878 hasConcept C146978453 @default.
- W3126173878 hasConcept C153876917 @default.
- W3126173878 hasConcept C154945302 @default.
- W3126173878 hasConcept C15792166 @default.
- W3126173878 hasConcept C17744445 @default.
- W3126173878 hasConcept C199360897 @default.
- W3126173878 hasConcept C199539241 @default.
- W3126173878 hasConcept C33923547 @default.
- W3126173878 hasConcept C36503486 @default.
- W3126173878 hasConcept C41008148 @default.
- W3126173878 hasConcept C46304622 @default.
- W3126173878 hasConcept C71924100 @default.
- W3126173878 hasConcept C77019957 @default.
- W3126173878 hasConcept C98045186 @default.
- W3126173878 hasConceptScore W3126173878C112930515 @default.
- W3126173878 hasConceptScore W3126173878C115903868 @default.
- W3126173878 hasConceptScore W3126173878C127413603 @default.
- W3126173878 hasConceptScore W3126173878C134306372 @default.
- W3126173878 hasConceptScore W3126173878C146978453 @default.
- W3126173878 hasConceptScore W3126173878C153876917 @default.
- W3126173878 hasConceptScore W3126173878C154945302 @default.
- W3126173878 hasConceptScore W3126173878C15792166 @default.
- W3126173878 hasConceptScore W3126173878C17744445 @default.
- W3126173878 hasConceptScore W3126173878C199360897 @default.
- W3126173878 hasConceptScore W3126173878C199539241 @default.
- W3126173878 hasConceptScore W3126173878C33923547 @default.
- W3126173878 hasConceptScore W3126173878C36503486 @default.
- W3126173878 hasConceptScore W3126173878C41008148 @default.
- W3126173878 hasConceptScore W3126173878C46304622 @default.
- W3126173878 hasConceptScore W3126173878C71924100 @default.
- W3126173878 hasConceptScore W3126173878C77019957 @default.
- W3126173878 hasConceptScore W3126173878C98045186 @default.
- W3126173878 hasLocation W31261738781 @default.
- W3126173878 hasOpenAccess W3126173878 @default.
- W3126173878 hasPrimaryLocation W31261738781 @default.
- W3126173878 hasRelatedWork W14345461 @default.
- W3126173878 hasRelatedWork W1985130938 @default.
- W3126173878 hasRelatedWork W2007270415 @default.
- W3126173878 hasRelatedWork W2048511917 @default.
- W3126173878 hasRelatedWork W2133114006 @default.
- W3126173878 hasRelatedWork W2164362449 @default.
- W3126173878 hasRelatedWork W2214284541 @default.
- W3126173878 hasRelatedWork W2316694660 @default.
- W3126173878 hasRelatedWork W2403143799 @default.
- W3126173878 hasRelatedWork W2752177954 @default.
- W3126173878 hasRelatedWork W2759824188 @default.
- W3126173878 hasRelatedWork W2777928969 @default.
- W3126173878 hasRelatedWork W2975946384 @default.
- W3126173878 hasRelatedWork W2984103464 @default.
- W3126173878 hasRelatedWork W2989655393 @default.
- W3126173878 hasRelatedWork W3004906741 @default.
- W3126173878 hasRelatedWork W3126400779 @default.
- W3126173878 hasRelatedWork W48071027 @default.
- W3126173878 hasRelatedWork W2188730565 @default.
- W3126173878 hasRelatedWork W2549932868 @default.
- W3126173878 isParatext "false" @default.
- W3126173878 isRetracted "false" @default.
- W3126173878 magId "3126173878" @default.
- W3126173878 workType "article" @default.