Matches in SemOpenAlex for { <https://semopenalex.org/work/W4321843396> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4321843396 abstract "Automation industries are using Industry 4.0 solutions for several reasons. Still, the most important is to make it easier for their employees to get secure information and to work better with people in other departments. The goal of this effort is to improve productivity and efficiency by making it easier to make good decisions at the right time. This will make it possible to make these kinds of improvements. Constraint-based security solutions are becoming increasingly popular as the digital and physical worlds become more connected. Based on the processing speed, the amount of memory that can be used, and the amount of backup power that can be used. The algorithms and security frameworks used in earlier research need many resources. Several researchers have given an overview of the many security problems with the CPS and their studies and recommendations. But constraint-based applications need light security systems that can work with hardware with limited capabilities. We proposed a safety mechanism that can be used with the already-made constraint-based CPS program. To propose Cyber-Physical System for Industrial Automation Using Quantum Deep Learning, We proposed Cyber-Physical System for Industrial Automation that uses Quantum Learning to find attacking patterns." @default.
- W4321843396 created "2023-02-25" @default.
- W4321843396 creator A5027610180 @default.
- W4321843396 creator A5051367755 @default.
- W4321843396 creator A5053388507 @default.
- W4321843396 creator A5056295728 @default.
- W4321843396 creator A5059612866 @default.
- W4321843396 creator A5077383772 @default.
- W4321843396 date "2022-12-16" @default.
- W4321843396 modified "2023-10-18" @default.
- W4321843396 title "Cyber-Physical System for Industrial Automation Using Quantum Deep Learning" @default.
- W4321843396 cites W2118463648 @default.
- W4321843396 cites W2414847038 @default.
- W4321843396 cites W2534544275 @default.
- W4321843396 cites W2551526281 @default.
- W4321843396 cites W2810723467 @default.
- W4321843396 cites W2890014043 @default.
- W4321843396 cites W2996590754 @default.
- W4321843396 cites W3080720771 @default.
- W4321843396 cites W3102320711 @default.
- W4321843396 cites W3112611326 @default.
- W4321843396 cites W3128543359 @default.
- W4321843396 cites W3135681774 @default.
- W4321843396 cites W3165432335 @default.
- W4321843396 cites W3167448383 @default.
- W4321843396 cites W3177037058 @default.
- W4321843396 cites W3202479695 @default.
- W4321843396 cites W3216536021 @default.
- W4321843396 cites W4200398261 @default.
- W4321843396 cites W4226071007 @default.
- W4321843396 cites W4280617775 @default.
- W4321843396 cites W4283067092 @default.
- W4321843396 cites W4283373641 @default.
- W4321843396 cites W4285814170 @default.
- W4321843396 cites W4285814211 @default.
- W4321843396 cites W4287980717 @default.
- W4321843396 doi "https://doi.org/10.1109/smart55829.2022.10047730" @default.
- W4321843396 hasPublicationYear "2022" @default.
- W4321843396 type Work @default.
- W4321843396 citedByCount "1" @default.
- W4321843396 countsByYear W43218433962023 @default.
- W4321843396 crossrefType "proceedings-article" @default.
- W4321843396 hasAuthorship W4321843396A5027610180 @default.
- W4321843396 hasAuthorship W4321843396A5051367755 @default.
- W4321843396 hasAuthorship W4321843396A5053388507 @default.
- W4321843396 hasAuthorship W4321843396A5056295728 @default.
- W4321843396 hasAuthorship W4321843396A5059612866 @default.
- W4321843396 hasAuthorship W4321843396A5077383772 @default.
- W4321843396 hasConcept C111919701 @default.
- W4321843396 hasConcept C112930515 @default.
- W4321843396 hasConcept C115901376 @default.
- W4321843396 hasConcept C127413603 @default.
- W4321843396 hasConcept C179768478 @default.
- W4321843396 hasConcept C2776036281 @default.
- W4321843396 hasConcept C2780945871 @default.
- W4321843396 hasConcept C38652104 @default.
- W4321843396 hasConcept C41008148 @default.
- W4321843396 hasConcept C71924100 @default.
- W4321843396 hasConcept C77088390 @default.
- W4321843396 hasConcept C78519656 @default.
- W4321843396 hasConceptScore W4321843396C111919701 @default.
- W4321843396 hasConceptScore W4321843396C112930515 @default.
- W4321843396 hasConceptScore W4321843396C115901376 @default.
- W4321843396 hasConceptScore W4321843396C127413603 @default.
- W4321843396 hasConceptScore W4321843396C179768478 @default.
- W4321843396 hasConceptScore W4321843396C2776036281 @default.
- W4321843396 hasConceptScore W4321843396C2780945871 @default.
- W4321843396 hasConceptScore W4321843396C38652104 @default.
- W4321843396 hasConceptScore W4321843396C41008148 @default.
- W4321843396 hasConceptScore W4321843396C71924100 @default.
- W4321843396 hasConceptScore W4321843396C77088390 @default.
- W4321843396 hasConceptScore W4321843396C78519656 @default.
- W4321843396 hasLocation W43218433961 @default.
- W4321843396 hasOpenAccess W4321843396 @default.
- W4321843396 hasPrimaryLocation W43218433961 @default.
- W4321843396 hasRelatedWork W2075106593 @default.
- W4321843396 hasRelatedWork W2125815685 @default.
- W4321843396 hasRelatedWork W2352125166 @default.
- W4321843396 hasRelatedWork W2360700496 @default.
- W4321843396 hasRelatedWork W2369478911 @default.
- W4321843396 hasRelatedWork W2376023509 @default.
- W4321843396 hasRelatedWork W2476651607 @default.
- W4321843396 hasRelatedWork W2803916005 @default.
- W4321843396 hasRelatedWork W2908278544 @default.
- W4321843396 hasRelatedWork W4318832445 @default.
- W4321843396 isParatext "false" @default.
- W4321843396 isRetracted "false" @default.
- W4321843396 workType "article" @default.