Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313122971> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4313122971 abstract "The rapid development of machine learning technology leads to make the devices in the industries working autonomously. However, the growth of sensors in the industries leads to produce vast data that is utilized by machine learning algorithms to improve the autonomous devices’ performances. However, classical ML algorithms and hardware systems cannot process large data to meet real-time problems. Hence, the researchers have developed Quantum Computing hardware systems and Quantum Machine learning algorithms to speed up the process. This research work presented the review of quantum computing mechanisms and QML algorithms that are applied to classify the images. This work demonstrated the performance comparison of various QML algorithms. It showed that the images are classified using various QML algorithms faster than classical ML algorithms in terms of time." @default.
- W4313122971 created "2023-01-06" @default.
- W4313122971 creator A5000289905 @default.
- W4313122971 creator A5073285277 @default.
- W4313122971 creator A5081281059 @default.
- W4313122971 creator A5087234484 @default.
- W4313122971 date "2022-10-08" @default.
- W4313122971 modified "2023-10-15" @default.
- W4313122971 title "Quantum Computing and Quantum Machine Learning Classification – A Survey" @default.
- W4313122971 cites W1492999010 @default.
- W4313122971 cites W1984768535 @default.
- W4313122971 cites W2103956991 @default.
- W4313122971 cites W2111084110 @default.
- W4313122971 cites W2121981260 @default.
- W4313122971 cites W2559394418 @default.
- W4313122971 cites W2784994528 @default.
- W4313122971 cites W2798434869 @default.
- W4313122971 cites W2887925010 @default.
- W4313122971 cites W2922968028 @default.
- W4313122971 cites W2944469918 @default.
- W4313122971 cites W2965255203 @default.
- W4313122971 cites W3005630791 @default.
- W4313122971 cites W3042859727 @default.
- W4313122971 cites W3109410460 @default.
- W4313122971 cites W3137120888 @default.
- W4313122971 cites W3157386170 @default.
- W4313122971 cites W4224669750 @default.
- W4313122971 doi "https://doi.org/10.1109/icccmla56841.2022.9989137" @default.
- W4313122971 hasPublicationYear "2022" @default.
- W4313122971 type Work @default.
- W4313122971 citedByCount "2" @default.
- W4313122971 countsByYear W43131229712023 @default.
- W4313122971 crossrefType "proceedings-article" @default.
- W4313122971 hasAuthorship W4313122971A5000289905 @default.
- W4313122971 hasAuthorship W4313122971A5073285277 @default.
- W4313122971 hasAuthorship W4313122971A5081281059 @default.
- W4313122971 hasAuthorship W4313122971A5087234484 @default.
- W4313122971 hasConcept C111919701 @default.
- W4313122971 hasConcept C113775141 @default.
- W4313122971 hasConcept C11413529 @default.
- W4313122971 hasConcept C119857082 @default.
- W4313122971 hasConcept C121332964 @default.
- W4313122971 hasConcept C137019171 @default.
- W4313122971 hasConcept C154945302 @default.
- W4313122971 hasConcept C2779094486 @default.
- W4313122971 hasConcept C41008148 @default.
- W4313122971 hasConcept C58053490 @default.
- W4313122971 hasConcept C62520636 @default.
- W4313122971 hasConcept C84114770 @default.
- W4313122971 hasConcept C98045186 @default.
- W4313122971 hasConceptScore W4313122971C111919701 @default.
- W4313122971 hasConceptScore W4313122971C113775141 @default.
- W4313122971 hasConceptScore W4313122971C11413529 @default.
- W4313122971 hasConceptScore W4313122971C119857082 @default.
- W4313122971 hasConceptScore W4313122971C121332964 @default.
- W4313122971 hasConceptScore W4313122971C137019171 @default.
- W4313122971 hasConceptScore W4313122971C154945302 @default.
- W4313122971 hasConceptScore W4313122971C2779094486 @default.
- W4313122971 hasConceptScore W4313122971C41008148 @default.
- W4313122971 hasConceptScore W4313122971C58053490 @default.
- W4313122971 hasConceptScore W4313122971C62520636 @default.
- W4313122971 hasConceptScore W4313122971C84114770 @default.
- W4313122971 hasConceptScore W4313122971C98045186 @default.
- W4313122971 hasLocation W43131229711 @default.
- W4313122971 hasOpenAccess W4313122971 @default.
- W4313122971 hasPrimaryLocation W43131229711 @default.
- W4313122971 hasRelatedWork W2906136444 @default.
- W4313122971 hasRelatedWork W2910123824 @default.
- W4313122971 hasRelatedWork W2944417983 @default.
- W4313122971 hasRelatedWork W3132418032 @default.
- W4313122971 hasRelatedWork W3206120658 @default.
- W4313122971 hasRelatedWork W4213379151 @default.
- W4313122971 hasRelatedWork W4285326889 @default.
- W4313122971 hasRelatedWork W4289534122 @default.
- W4313122971 hasRelatedWork W4362682022 @default.
- W4313122971 hasRelatedWork W4385662062 @default.
- W4313122971 isParatext "false" @default.
- W4313122971 isRetracted "false" @default.
- W4313122971 workType "article" @default.