Matches in SemOpenAlex for { <https://semopenalex.org/work/W2962996012> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2962996012 abstract "In the last decade, various machine learning schemes have been investigated to make the cognitive radio(CR)more adaptive.Blind identification of radio accesses technology(RAT) indirectly aid the CR to adapt according to the real time wireless environment. In this projectwork, some of the various wireless standards like GSM, LTE-DL and IEEE 802.11a WLAN are blindly identified using deep neural networks. This report proposes the combinationof time-frequency distributions and Convolutional Neural Network (CNN) based Machine Learning technique to identify the RATs. Time-Frequency Analysis (TFA) is used to obtainthe spectral content of the signal and AlexNet, a pretrained Convolutional Neural Network is used for feature extraction and identification purpose. The accuracy of the network isanalyzed with performance plots of correct identification. Also, performance of the deep neural network classifier has been compared with the previously proposed Machine Learningtechniques." @default.
- W2962996012 created "2019-07-30" @default.
- W2962996012 creator A5011864788 @default.
- W2962996012 date "2018-05-30" @default.
- W2962996012 modified "2023-09-27" @default.
- W2962996012 title "Application of Deep Learning Techniques in Blind Identification of Radio Access Technologies" @default.
- W2962996012 hasPublicationYear "2018" @default.
- W2962996012 type Work @default.
- W2962996012 sameAs 2962996012 @default.
- W2962996012 citedByCount "0" @default.
- W2962996012 crossrefType "dissertation" @default.
- W2962996012 hasAuthorship W2962996012A5011864788 @default.
- W2962996012 hasConcept C108037233 @default.
- W2962996012 hasConcept C108583219 @default.
- W2962996012 hasConcept C116834253 @default.
- W2962996012 hasConcept C119857082 @default.
- W2962996012 hasConcept C147168706 @default.
- W2962996012 hasConcept C149946192 @default.
- W2962996012 hasConcept C153180895 @default.
- W2962996012 hasConcept C154945302 @default.
- W2962996012 hasConcept C28490314 @default.
- W2962996012 hasConcept C31258907 @default.
- W2962996012 hasConcept C41008148 @default.
- W2962996012 hasConcept C50644808 @default.
- W2962996012 hasConcept C52622490 @default.
- W2962996012 hasConcept C555944384 @default.
- W2962996012 hasConcept C59201141 @default.
- W2962996012 hasConcept C59822182 @default.
- W2962996012 hasConcept C76155785 @default.
- W2962996012 hasConcept C81363708 @default.
- W2962996012 hasConcept C86803240 @default.
- W2962996012 hasConcept C95623464 @default.
- W2962996012 hasConceptScore W2962996012C108037233 @default.
- W2962996012 hasConceptScore W2962996012C108583219 @default.
- W2962996012 hasConceptScore W2962996012C116834253 @default.
- W2962996012 hasConceptScore W2962996012C119857082 @default.
- W2962996012 hasConceptScore W2962996012C147168706 @default.
- W2962996012 hasConceptScore W2962996012C149946192 @default.
- W2962996012 hasConceptScore W2962996012C153180895 @default.
- W2962996012 hasConceptScore W2962996012C154945302 @default.
- W2962996012 hasConceptScore W2962996012C28490314 @default.
- W2962996012 hasConceptScore W2962996012C31258907 @default.
- W2962996012 hasConceptScore W2962996012C41008148 @default.
- W2962996012 hasConceptScore W2962996012C50644808 @default.
- W2962996012 hasConceptScore W2962996012C52622490 @default.
- W2962996012 hasConceptScore W2962996012C555944384 @default.
- W2962996012 hasConceptScore W2962996012C59201141 @default.
- W2962996012 hasConceptScore W2962996012C59822182 @default.
- W2962996012 hasConceptScore W2962996012C76155785 @default.
- W2962996012 hasConceptScore W2962996012C81363708 @default.
- W2962996012 hasConceptScore W2962996012C86803240 @default.
- W2962996012 hasConceptScore W2962996012C95623464 @default.
- W2962996012 hasLocation W29629960121 @default.
- W2962996012 hasOpenAccess W2962996012 @default.
- W2962996012 hasPrimaryLocation W29629960121 @default.
- W2962996012 hasRelatedWork W2272847350 @default.
- W2962996012 hasRelatedWork W2914393082 @default.
- W2962996012 hasRelatedWork W2944891925 @default.
- W2962996012 hasRelatedWork W2963810398 @default.
- W2962996012 hasRelatedWork W2971411179 @default.
- W2962996012 hasRelatedWork W2974827766 @default.
- W2962996012 hasRelatedWork W2975367698 @default.
- W2962996012 hasRelatedWork W3004635547 @default.
- W2962996012 hasRelatedWork W3010166641 @default.
- W2962996012 hasRelatedWork W3011108448 @default.
- W2962996012 hasRelatedWork W3013858044 @default.
- W2962996012 hasRelatedWork W3015219268 @default.
- W2962996012 hasRelatedWork W3035469698 @default.
- W2962996012 hasRelatedWork W3036710224 @default.
- W2962996012 hasRelatedWork W3082245769 @default.
- W2962996012 hasRelatedWork W3091886083 @default.
- W2962996012 hasRelatedWork W3151676082 @default.
- W2962996012 hasRelatedWork W3167533072 @default.
- W2962996012 hasRelatedWork W3197647463 @default.
- W2962996012 hasRelatedWork W3209307818 @default.
- W2962996012 isParatext "false" @default.
- W2962996012 isRetracted "false" @default.
- W2962996012 magId "2962996012" @default.
- W2962996012 workType "dissertation" @default.