This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1–1 of 1 papers
Raghavendra Kurva
This technical review examines AI and machine learning approaches for real-time carbon footprint monitoring of electric vehicles (EVs). By integrating data from sensors, vehicle systems, and recycling facilities, dynamic emission profiles a…
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