Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting-Reference-Cited by-同舟云学术

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Trend Analysis of Fragmented Time Series for mHealth Apps: Hypothesis Testing Based Adaptive Spline Filtering Method With Importance Weighting

Published:2017 Issue: Volume:5 Page:27767-27776
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dai Xiangfeng,Bikdash Marwan^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7859429/07936455.pdf?arnumber=7936455

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online attention dynamics: The triangle framework of theory, big data and simulations;Expert Systems with Applications;2023-12

2. Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions;Complex & Intelligent Systems;2021-12-17

3. Intelligent Control of Sintering Process;Developments in Advanced Control and Intelligent Automation for Complex Systems;2021

4. Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data;Frontiers in Computer Science;2020-10-15

5. A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process;IEEE Transactions on Industrial Informatics;2020-04

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