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Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton
Research article (IEEE/ASME Transactions on Mechatronics, 2023) · cited 17× · AI/ML
Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton
Summary
Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton is a scholarly article[1].
Key Facts
Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton. Retrieved May 24, 2026, from https://4ort.xyz/entity/walking-speed-learning-and-generalization-using-seq2seq-gated-and-adaptive-continuous-time-recurrent-neural-network-s2s-
MLA“Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/walking-speed-learning-and-generalization-using-seq2seq-gated-and-adaptive-continuous-time-recurrent-neural-network-s2s-.
BibTeX@misc{4ortxyz_walking-speed-learning-and-generalization-using-seq2seq-gated-and-adaptive-continuous-time-recurrent-neural-network-s2s-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton}}, year = {2026}, url = {https://4ort.xyz/entity/walking-speed-learning-and-generalization-using-seq2seq-gated-and-adaptive-continuous-time-recurrent-neural-network-s2s-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Walking Speed Learning and Generalization Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN) for a Hip Exoskeleton — https://4ort.xyz/entity/walking-speed-learning-and-generalization-using-seq2seq-gated-and-adaptive-continuous-time-recurrent-neural-network-s2s- (retrieved 2026-05-24)
