Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312365614> ?p ?o ?g. }
- W4312365614 endingPage "4997" @default.
- W4312365614 startingPage "4985" @default.
- W4312365614 abstract "Today, machine vision experiences large latency due to big data processing, which is a barrier to time-critical applications. To address this issue, in-sensor computing was presented in the past. Here, we present a scheme of computing in a magnetic tunneling junction (MTJ) sensor array for proof-of-principle. Using the MTJ sensor array, the functions of artificial neural network (ANN) classifiers and autoencoders were verified. The time for correct classification of one picture was less than <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$9~mu text{s}$ </tex-math></inline-formula> . The power consumed in the sensor array can be decreased according to the square law without affecting the results. Our work shows universal circuits and algorithms to compute in resistance-style ANN image sensors with promising energy efficiency." @default.
- W4312365614 created "2023-01-04" @default.
- W4312365614 creator A5017560036 @default.
- W4312365614 creator A5027663056 @default.
- W4312365614 creator A5032798689 @default.
- W4312365614 creator A5034446826 @default.
- W4312365614 creator A5044602925 @default.
- W4312365614 creator A5050199986 @default.
- W4312365614 creator A5065545987 @default.
- W4312365614 creator A5067636420 @default.
- W4312365614 creator A5071773009 @default.
- W4312365614 date "2023-03-15" @default.
- W4312365614 modified "2023-10-16" @default.
- W4312365614 title "Computing Resistance-Style Image Sensors for Artificial Neural Networks" @default.
- W4312365614 cites W1542981317 @default.
- W4312365614 cites W2015106779 @default.
- W4312365614 cites W2032423464 @default.
- W4312365614 cites W2047433567 @default.
- W4312365614 cites W2062167753 @default.
- W4312365614 cites W2076131235 @default.
- W4312365614 cites W2099616257 @default.
- W4312365614 cites W2111406701 @default.
- W4312365614 cites W2134549381 @default.
- W4312365614 cites W2755225407 @default.
- W4312365614 cites W2758811157 @default.
- W4312365614 cites W2786070938 @default.
- W4312365614 cites W2795422834 @default.
- W4312365614 cites W2913932916 @default.
- W4312365614 cites W2964248614 @default.
- W4312365614 cites W2964595404 @default.
- W4312365614 cites W2965364349 @default.
- W4312365614 cites W3009114326 @default.
- W4312365614 cites W3009994855 @default.
- W4312365614 cites W3029515339 @default.
- W4312365614 cites W3042432496 @default.
- W4312365614 cites W3044557848 @default.
- W4312365614 cites W3088584944 @default.
- W4312365614 cites W3104775050 @default.
- W4312365614 cites W3115406179 @default.
- W4312365614 cites W3134524932 @default.
- W4312365614 cites W3136689710 @default.
- W4312365614 cites W3139498690 @default.
- W4312365614 cites W3146204158 @default.
- W4312365614 cites W3167292039 @default.
- W4312365614 cites W3171938391 @default.
- W4312365614 cites W3174208823 @default.
- W4312365614 cites W3206442440 @default.
- W4312365614 cites W4206367101 @default.
- W4312365614 cites W4284974006 @default.
- W4312365614 doi "https://doi.org/10.1109/jiot.2022.3219847" @default.
- W4312365614 hasPublicationYear "2023" @default.
- W4312365614 type Work @default.
- W4312365614 citedByCount "1" @default.
- W4312365614 countsByYear W43123656142023 @default.
- W4312365614 crossrefType "journal-article" @default.
- W4312365614 hasAuthorship W4312365614A5017560036 @default.
- W4312365614 hasAuthorship W4312365614A5027663056 @default.
- W4312365614 hasAuthorship W4312365614A5032798689 @default.
- W4312365614 hasAuthorship W4312365614A5034446826 @default.
- W4312365614 hasAuthorship W4312365614A5044602925 @default.
- W4312365614 hasAuthorship W4312365614A5050199986 @default.
- W4312365614 hasAuthorship W4312365614A5065545987 @default.
- W4312365614 hasAuthorship W4312365614A5067636420 @default.
- W4312365614 hasAuthorship W4312365614A5071773009 @default.
- W4312365614 hasConcept C113775141 @default.
- W4312365614 hasConcept C11413529 @default.
- W4312365614 hasConcept C154945302 @default.
- W4312365614 hasConcept C41008148 @default.
- W4312365614 hasConcept C50644808 @default.
- W4312365614 hasConcept C76155785 @default.
- W4312365614 hasConcept C80444323 @default.
- W4312365614 hasConcept C82876162 @default.
- W4312365614 hasConceptScore W4312365614C113775141 @default.
- W4312365614 hasConceptScore W4312365614C11413529 @default.
- W4312365614 hasConceptScore W4312365614C154945302 @default.
- W4312365614 hasConceptScore W4312365614C41008148 @default.
- W4312365614 hasConceptScore W4312365614C50644808 @default.
- W4312365614 hasConceptScore W4312365614C76155785 @default.
- W4312365614 hasConceptScore W4312365614C80444323 @default.
- W4312365614 hasConceptScore W4312365614C82876162 @default.
- W4312365614 hasFunder F4320321001 @default.
- W4312365614 hasFunder F4320335777 @default.
- W4312365614 hasIssue "6" @default.
- W4312365614 hasLocation W43123656141 @default.
- W4312365614 hasOpenAccess W4312365614 @default.
- W4312365614 hasPrimaryLocation W43123656141 @default.
- W4312365614 hasRelatedWork W1987753576 @default.
- W4312365614 hasRelatedWork W2052158784 @default.
- W4312365614 hasRelatedWork W2361812906 @default.
- W4312365614 hasRelatedWork W2380362089 @default.
- W4312365614 hasRelatedWork W2386387936 @default.
- W4312365614 hasRelatedWork W2392110728 @default.
- W4312365614 hasRelatedWork W2393954573 @default.
- W4312365614 hasRelatedWork W3033499831 @default.
- W4312365614 hasRelatedWork W4200330874 @default.
- W4312365614 hasRelatedWork W2779562428 @default.
- W4312365614 hasVolume "10" @default.
- W4312365614 isParatext "false" @default.