No abstract available for this document.
@article{3c899449-49f2-4421-8c61-c24ed9ee502d,
title={Exergy and Exergoeconomic Analyses of Ai},
author={Unknown},
year={2026},
language={en}
}TY - JOUR TI - Exergy and Exergoeconomic Analyses of Ai AU - Unknown PY - 2026 LA - en ER -
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data
Important advances in electrochemical engineering technology over the last three decades have fostered the development of a lternative methods to alle
Increasing volumes of waste printed circuit boards from obsolete electronic equipment posed escalating environmental risks and resource losses due to