Prediction of Thermogravimetric Data in Bromine Captured from Brominated Flame Retardants (BFRs) in e‑Waste Treatment Using Machine Learning Approaches

The principal objective in the treatment of e-waste is to capture the bromine released from the brominated flame retardants (BFRs) added to the polymeric constituents of printed circuits boards (PCBs) and to produce pure bromine-free hydrocarbons. Metal oxides such as calcium hydroxide (Ca(OH)2) ha...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of chemical information and modeling 2023-04, Vol.63 (8), p.2305-2320
Hauptverfasser:	Ali, Labeeb, Sivaramakrishnan, Kaushik, Kuttiyathil, Mohamed Shafi, Chandrasekaran, Vignesh, Ahmed, Oday H., Al-Harahsheh, Mohammad, Altarawneh, Mohammednoor
Format:	Artikel
Sprache:	eng
Schlagworte:	Bromination Bromine Data points Electronic waste Electronic Waste - analysis Flame retardants Flame Retardants - analysis Heating Human error Humans Hydrocarbons, Brominated - analysis Machine Learning Machine Learning and Deep Learning Metal oxides Oxidation Polybrominated Biphenyls - analysis Pyrolysis Regression models Room temperature Slaked lime Support vector machines Tetrabromobisphenol A Waste treatment
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!