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Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge
Research article (Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018) · cited 14× · AI/ML
Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge
Summary
Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge is a scholarly article[1].
Key Facts
Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge'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). Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge. Retrieved May 24, 2026, from https://4ort.xyz/entity/activity-recognition-using-dual-convlstm-extracting-local-and-global-features-for-shl-recognition-challenge
MLA“Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/activity-recognition-using-dual-convlstm-extracting-local-and-global-features-for-shl-recognition-challenge.
BibTeX@misc{4ortxyz_activity-recognition-using-dual-convlstm-extracting-local-and-global-features-for-shl-recognition-challenge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge}}, year = {2026}, url = {https://4ort.xyz/entity/activity-recognition-using-dual-convlstm-extracting-local-and-global-features-for-shl-recognition-challenge}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Activity Recognition Using Dual-ConvLSTM Extracting Local and Global Features for SHL Recognition Challenge — https://4ort.xyz/entity/activity-recognition-using-dual-convlstm-extracting-local-and-global-features-for-shl-recognition-challenge (retrieved 2026-05-24)
