Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network

Research article (2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017) · cited 10× · AI/ML
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Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network

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Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network. Retrieved May 24, 2026, from https://4ort.xyz/entity/recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-net
MLA “Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-net.
BibTeX @misc{4ortxyz_recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network}}, year = {2026}, url = {https://4ort.xyz/entity/recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-net}, note = {Accessed: 2026-05-24}}
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