Matches in SemOpenAlex for { <https://semopenalex.org/work/W4211058895> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4211058895 abstract "When dealing with the Internet of Things (IoT), especially industrial IoT (IIoT), two manifest challenges leap to mind. First is the massive amount of data streaming to and from IoT devices, and second is the fast pace at which these systems must operate. Distributed computing in the form of edge/cloud structure is a popular technique to overcome these two challenges. In this paper, we propose ADDAI (Anomaly Detection using Distributed AI) that can easily span out geographically to cover a large number of IoT sources. Due to its distributed nature, it guarantees critical IIoT requirements such as high speed, robustness against a single point of failure, low communication overhead, privacy, and scalability. Through empirical proof, we show the communication cost is minimized, and the performance improves significantly while maintaining the privacy of raw data at the local layer. ADDAI provides predictions for new random samples with an average success rate of 98.4% while reducing the communication overhead by half compared with the traditional technique of offloading all the raw sensor data to the cloud." @default.
- W4211058895 created "2022-02-13" @default.
- W4211058895 creator A5024922935 @default.
- W4211058895 creator A5031032802 @default.
- W4211058895 creator A5038747536 @default.
- W4211058895 date "2021-12-03" @default.
- W4211058895 modified "2023-09-30" @default.
- W4211058895 title "ADDAI: Anomaly Detection using Distributed AI" @default.
- W4211058895 cites W2473418344 @default.
- W4211058895 cites W2885128583 @default.
- W4211058895 cites W2940895343 @default.
- W4211058895 cites W2945019656 @default.
- W4211058895 cites W2963039217 @default.
- W4211058895 cites W2968656979 @default.
- W4211058895 cites W3000036235 @default.
- W4211058895 cites W3102031770 @default.
- W4211058895 cites W3131664395 @default.
- W4211058895 cites W3133610307 @default.
- W4211058895 doi "https://doi.org/10.1109/icnsc52481.2021.9702157" @default.
- W4211058895 hasPublicationYear "2021" @default.
- W4211058895 type Work @default.
- W4211058895 citedByCount "4" @default.
- W4211058895 countsByYear W42110588952022 @default.
- W4211058895 countsByYear W42110588952023 @default.
- W4211058895 crossrefType "proceedings-article" @default.
- W4211058895 hasAuthorship W4211058895A5024922935 @default.
- W4211058895 hasAuthorship W4211058895A5031032802 @default.
- W4211058895 hasAuthorship W4211058895A5038747536 @default.
- W4211058895 hasBestOaLocation W42110588952 @default.
- W4211058895 hasConcept C104317684 @default.
- W4211058895 hasConcept C111919701 @default.
- W4211058895 hasConcept C120314980 @default.
- W4211058895 hasConcept C124101348 @default.
- W4211058895 hasConcept C149635348 @default.
- W4211058895 hasConcept C165136773 @default.
- W4211058895 hasConcept C185592680 @default.
- W4211058895 hasConcept C2778456923 @default.
- W4211058895 hasConcept C2779960059 @default.
- W4211058895 hasConcept C31258907 @default.
- W4211058895 hasConcept C41008148 @default.
- W4211058895 hasConcept C48044578 @default.
- W4211058895 hasConcept C55493867 @default.
- W4211058895 hasConcept C63479239 @default.
- W4211058895 hasConcept C739882 @default.
- W4211058895 hasConcept C77088390 @default.
- W4211058895 hasConcept C79974875 @default.
- W4211058895 hasConcept C81860439 @default.
- W4211058895 hasConceptScore W4211058895C104317684 @default.
- W4211058895 hasConceptScore W4211058895C111919701 @default.
- W4211058895 hasConceptScore W4211058895C120314980 @default.
- W4211058895 hasConceptScore W4211058895C124101348 @default.
- W4211058895 hasConceptScore W4211058895C149635348 @default.
- W4211058895 hasConceptScore W4211058895C165136773 @default.
- W4211058895 hasConceptScore W4211058895C185592680 @default.
- W4211058895 hasConceptScore W4211058895C2778456923 @default.
- W4211058895 hasConceptScore W4211058895C2779960059 @default.
- W4211058895 hasConceptScore W4211058895C31258907 @default.
- W4211058895 hasConceptScore W4211058895C41008148 @default.
- W4211058895 hasConceptScore W4211058895C48044578 @default.
- W4211058895 hasConceptScore W4211058895C55493867 @default.
- W4211058895 hasConceptScore W4211058895C63479239 @default.
- W4211058895 hasConceptScore W4211058895C739882 @default.
- W4211058895 hasConceptScore W4211058895C77088390 @default.
- W4211058895 hasConceptScore W4211058895C79974875 @default.
- W4211058895 hasConceptScore W4211058895C81860439 @default.
- W4211058895 hasLocation W42110588951 @default.
- W4211058895 hasLocation W42110588952 @default.
- W4211058895 hasOpenAccess W4211058895 @default.
- W4211058895 hasPrimaryLocation W42110588951 @default.
- W4211058895 hasRelatedWork W1990379658 @default.
- W4211058895 hasRelatedWork W2170649215 @default.
- W4211058895 hasRelatedWork W2475198316 @default.
- W4211058895 hasRelatedWork W2586664332 @default.
- W4211058895 hasRelatedWork W2609475387 @default.
- W4211058895 hasRelatedWork W2804912624 @default.
- W4211058895 hasRelatedWork W2968885912 @default.
- W4211058895 hasRelatedWork W4287757973 @default.
- W4211058895 hasRelatedWork W4290996824 @default.
- W4211058895 hasRelatedWork W94000989 @default.
- W4211058895 isParatext "false" @default.
- W4211058895 isRetracted "false" @default.
- W4211058895 workType "article" @default.