Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
Summary
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots is a scholarly article[1].
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Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-endovo-a-recurrent-convolutional-neural-network-rcnn-based-visual-odometry-approach-for-endoscopic-capsule-robots
MLA“Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-endovo-a-recurrent-convolutional-neural-network-rcnn-based-visual-odometry-approach-for-endoscopic-capsule-robots.
BibTeX@misc{4ortxyz_deep-endovo-a-recurrent-convolutional-neural-network-rcnn-based-visual-odometry-approach-for-endoscopic-capsule-robots_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots}}, year = {2026}, url = {https://4ort.xyz/entity/deep-endovo-a-recurrent-convolutional-neural-network-rcnn-based-visual-odometry-approach-for-endoscopic-capsule-robots}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots — https://4ort.xyz/entity/deep-endovo-a-recurrent-convolutional-neural-network-rcnn-based-visual-odometry-approach-for-endoscopic-capsule-robots (retrieved 2026-05-24)
