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Innovations and development of sustainable personal protective equipment: a path to a greener future

Author(s): Lyu L; Bagchi M; Markoglou N; An C;

The unprecedented surge in the demand for personal protective equipment (PPE) worldwide during the covid pandemic resulted in a significant increase in PPE consumption and subsequent waste generation. Despite the importance of PPE, its widespread usage and ...

Article GUID: 38911061


Towards environmentally sustainable management: A review on the generation, degradation, and recycling of polypropylene face mask waste

Author(s): Lyu L; Bagchi M; Markoglou N; An C; Peng H; Bi H; Yang X; Sun H;

There has been a considerable increase in the use of face masks in the past years. Managing face mask waste has become a global concern, as the current waste management system is insufficient to deal with such a large quantity of solid waste. The drastic in ...

Article GUID: 37742382


A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19

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. ...

Article GUID: 37274541


Upcycling face mask wastes generated during COVID-19 into value-added engineering materials: A review

Author(s): Sina Pourebrahimi

Billions of disposable face masks (i.e., single-use masks) are used and discarded worldwide monthly due to the COVID-19 outbreak. The immethodical disposal of these polymer-based wastes containing non-biodegradable constituents (e.g., polypropylene) has pro ...

Article GUID: 36055514


Construction and Demolition Waste Management Research: A Science Mapping Analysis

Author(s): Elshaboury N; Al-Sakkaf A; Mohammed Abdelkader E; Alfalah G;

Construction and demolition waste treatment has become an increasingly pressing economic, social, and environmental concern across the world. This study employs a science mapping approach to provide a thorough and systematic examination of the literature on ...

Article GUID: 35457363


Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation

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 t ...

Article GUID: 35287077


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