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FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.

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Title: FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
Authors: Hu, Chun-Yu1,2,3, Hu, Li-Sha4, Yuan, Lin1,2, Lu, Dian-Jie3,5, Lyu, Lei3,5, Chen, Yi-Qiang6
Source: Journal of Computer Science & Technology (10009000); Sep2023, Vol. 38 Issue 5, p970-984, 15p
Database: Applied Science & Technology Source
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  Availability: 0
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DbLabel: Applied Science & Technology Source
An: 174014847
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174014847
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      – Type: doi
        Value: 10.1007/s11390-023-3009-0
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
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            NameFull: Hu, Chun-Yu
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            NameFull: Hu, Li-Sha
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            NameFull: Yuan, Lin
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            NameFull: Lu, Dian-Jie
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            NameFull: Lyu, Lei
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            NameFull: Chen, Yi-Qiang
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 38
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