PROMPT: Process Mining and Paravector Tensor-Based Physical Health Monitoring Framework-Reference-Cited by-同舟云学术

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PROMPT: Process Mining and Paravector Tensor-Based Physical Health Monitoring Framework

Published:2023-01-15 Issue:2 Volume:23 Page:989-996
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Khowaja Sunder Ali¹^ORCID,Khuwaja Parus²^ORCID,Dev Kapal³^ORCID,Jarwar Muhammad Aslam⁴^ORCID

Affiliation:

1. Department of Telecommunication Engineering, Faculty of Engineering and Technology, University of Sindh, Jamshoro, Pakistan

2. Institute of Business Administration, University of Sindh, Jamshoro, Pakistan

3. Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

4. Department of Computing, Sheffield Hallam University, Sheffield, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10017147/09852145.pdf?arnumber=9852145

Reference29 articles.

1. The ROAD from Sensor Data to Process Instances via Interaction Mining

2. Process-Based Habit Mining: Experiments and Techniques

3. From Low-Level Events to Activities - A Pattern-Based Approach

4. Extraction of User Daily Behavior From Home Sensors Through Process Discovery

5. Revealing daily human activity pattern using process mining approach

Cited by 2 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. ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks;Information Fusion;2024-02

2. Joint Polarization-Space-Time Processing for Mainlobe Jamming via CP Decomposition;IEEE Sensors Journal;2023-07-01

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