Optimal Ensemble Scheme for Human Activity Recognition and Floor Detection Based on AutoML and Weighted Soft Voting Using Smartphone Sensors-Reference-Cited by-同舟云学术

Optimal Ensemble Scheme for Human Activity Recognition and Floor Detection Based on AutoML and Weighted Soft Voting Using Smartphone Sensors

Published:2023-02-01 Issue:3 Volume:23 Page:2878-2890
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Jamil Harun¹,Qayyum Faiza²^ORCID,Iqbal Naeem²^ORCID,Jamil Faisal³^ORCID,Kim Do Hyeun²

Affiliation:

1. Department of Electronics Engineering, Jeju National University, Jeju-Si, Republic of Korea

2. Department of Computer Engineering, Jeju National University, Jeju-Si, Republic of Korea

3. Department of ICT and Natural Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (N.T.N.U.), Ålesund, Norway

Funder

Energy Cloud Research and Development Program through the National Research Foundation of Korea

Ministry of Science, Information and Communication Technology

Institute for Information and Communications Technology Promotion (IITP) through the Cooperative Intelligence Framework of Scene Perception for Autonomous IoT Device

ERCIM Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10032973/09994732.pdf?arnumber=9994732

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