GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management.

Autor: Hossen MM; Department of Electrical and Electronics Engineering, University of Dhaka, Dhaka, Bangladesh. Electronic address: hossensakib27@gmail.com., Ashraf A; Chemical Engineering Department, University of Doha for Science and Technology, Doha, Qatar. Electronic address: Azad.ashraf@udst.edu.qa., Hasan M; Chemical Engineering Department, University of Doha for Science and Technology, Doha, Qatar. Electronic address: mazhar.hasanzia@udst.edu.qa., Majid ME; Computer Applications Department, Academic Bridge Program, Qatar Foundation, Doha, Qatar. Electronic address: mollamajid@gmail.com., Nashbat M; Chemical Engineering Department, University of Doha for Science and Technology, Doha, Qatar. Electronic address: Mohammad.nashbat@UDST.edu.qa., Kashem SBA; Department of Computing Science, AFG College with the University of Aberdeen, Doha, Qatar. Electronic address: saad.kashem@afg-aberdeen.edu.qa., Kunju AKA; Chemical Engineering Department, University of Doha for Science and Technology, Doha, Qatar. Electronic address: Aliyarukunju.kunju@udst.edu.qa., Khandakar A; Department of Electrical Engineering, Qatar University, Doha, Qatar. Electronic address: amitk@qu.edu.qa., Mahmud S; Department of Electrical Engineering, Qatar University, Doha, Qatar. Electronic address: sakib.mahmud@qu.edu.qa., Chowdhury MEH; Department of Electrical Engineering, Qatar University, Doha, Qatar. Electronic address: mchowdhury@qu.edu.qa.

Publikováno v: Waste management (New York, N.Y.) [Waste Manag] 2024 Feb 15; Vol. 174, pp. 439-450. Date of Electronic Publication: 2023 Dec 19.