View Full Paper

Owner Consent Verified
Essay 4.5

Edge Computing for University Students: Data Quality And Bias | 2021–2026 Trends

18
Pages
IEEE
Style
~ 19–28 mins
Reading Time
Green Finance Psychology Energy
Abstract

This essay investigates “Edge Computing for University Students: Data Quality And Bias | 2021–2026 Trends” using a propensity score matching. Through a human-centered lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Download PDF Order Similar Paper Save

Edge Computing for University Students: Data Quality And Bias | 2021–2026 Trends

ABSTRACT
Edge Computing for University Students: Data Quality And Bias | 2021–2026 Trends is unpacked across themes: risks, interoperability, benefits, and equity. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
18 Pages 4.5
Open Banking Adoption in Gen Z Shoppers: Human Factors And Usability — A difference-in-differences analysis
CV Open Banking InsurTech
View Paper
28 Pages 4.8
Workforce Analytics and Market Entry Strategy among Supply Chain Managers — A topic modeling on open datasets
Education BioMed AI
View Paper
14 Pages 4.5
Cloud Computing Adoption in Hospitality Operators: Market Entry Strategy — A survey-based structural equation modeling
Open Banking AIOps Health
View Paper