Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels-Reference-Cited by-同舟云学术

Intensive Statistical Exploration to Identify Osteoporosis Predisposing Factors and Optimizing Recognition Performance With Integrated GP Kernels

Published:2023 Issue: Volume:11 Page:131338-131350
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Amin Ruhul¹^ORCID,Reza Md. Shamim¹^ORCID,Maniruzzaman Md.²^ORCID,Hasan Md. Al Mehedi³^ORCID,Lee Hyoun-Sup⁴,Jang Si-Woong⁵,Shin Jungpil⁶^ORCID

Affiliation:

1. Department of Statistics, Pabna University of Science and Technology, Pabna, Bangladesh

2. Statistics Discipline, Khulna University, Khulna, Bangladesh

3. Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

4. Department of Applied Software Engineering, Dong-Eui University, Busan, Busanjin-gu, Republic of Korea

5. Department of Computer Engineering, Dongeui University, Busan, Republic of Korea

6. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10328576.pdf?arnumber=10328576

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5. A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle