Author(s): Wang Z; Tian X; Zhao S; Zhang P; An C;

The increasing demand for lithium-ion batteries has raised concerns about resource scarcity, battery accident risks, and end-of-life battery management. All-solid-state batteries (ASSBs) are emerging as a promising alternative due to their higher energy density and thermal stability. However, the large-scale production of ASSBs necessitates the developmen ...

Article GUID: 41073076

Author(s): Wang Z; Lyu L; Huang G; An C;

The increasing adoption of electric vehicles (EVs) is widely recognized as a pivotal strategy for mitigating climate change. However, the surge in EV usage brings significant challenges regarding the end-of-life management of lithium-ion batteries, particularly in geographically isolated islands, such as Vancouver Island, Canada. This study addresses the ...

Article GUID: 40795495

Author(s): Mahmud TS; Ng KTW; Hasan MM; An C; Wan S;

There is currently a lack of studies on residential waste collection during COVID-19 in North America. SARIMA models were developed to predict residential waste collection rates (RWCR) across four North American jurisdictions before and during the pandemic. Unlike waste disposal rates, RWCR is relatively less sensitive to the changes in COVID-19 regulator ...

Article GUID: 37274541

Author(s): Vu HL; Ng KTW; Richter A; An C;

The use of machine learning techniques in waste management studies is increasingly popular. Recent literature suggests k-fold cross validation may reduce input dataset partition uncertainties and minimize overfitting issues. The objectives are to quantify the benefits of k-fold cross validation for municipal waste disposal prediction and to identify the r ...

Article GUID: 35287077