Transforming linear regression with AI-driven enhancements for superior forecasting robustness and interpretability

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071126
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Transforming linear regression with AI-driven enhancements for superior forecasting robustness and interpretability

Ruili Zhang, Qiang Yang, Y. Y. Guo
International Journal of Information and Communication Technology
Fault Detection and Control Systems
article

Transforming linear regression with AI-driven enhancements for superior forecasting robustness and interpretability

Ruili Zhang, Qiang Yang, Y. Y. Guo
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 26(14)
Climate action
Openalex Percentile: Top 89%
Fault Detection and Control Systems
DOIOpen Access PDFOpenAlex
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Transforming linear regression with AI-driven enhancements for superior forecasting robustness and interpretability — Ruili Zhang, Qiang Yang, et al. · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS