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RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition
Research article (Signal Image and Video Processing, 2022) · cited 26× · AI/ML
RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition
Summary
RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition is a scholarly article[1].
Key Facts
RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/rbi-2rcnn-residual-block-intensity-feature-using-a-two-stage-residual-convolutional-neural-network-for-static-hand-gestu
MLA“RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rbi-2rcnn-residual-block-intensity-feature-using-a-two-stage-residual-convolutional-neural-network-for-static-hand-gestu.
BibTeX@misc{4ortxyz_rbi-2rcnn-residual-block-intensity-feature-using-a-two-stage-residual-convolutional-neural-network-for-static-hand-gestu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/rbi-2rcnn-residual-block-intensity-feature-using-a-two-stage-residual-convolutional-neural-network-for-static-hand-gestu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RBI-2RCNN: Residual Block Intensity Feature using a Two-stage Residual Convolutional Neural Network for Static Hand Gesture Recognition — https://4ort.xyz/entity/rbi-2rcnn-residual-block-intensity-feature-using-a-two-stage-residual-convolutional-neural-network-for-static-hand-gestu (retrieved 2026-05-24)
