A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

<p dir="ltr">In response to the growing waste problem caused by industrialization and modernization, the need for an automated waste sorting and recycling system for sustainable waste management has become ever more pressing. Deep learning has made significant advancements in image c...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Md. Mosarrof Hossen (21401603) (author)
مؤلفون آخرون:	Molla E. Majid (21323921) (author), Saad Bin Abul Kashem (17773188) (author), Amith Khandakar (14151981) (author), Mohammad Nashbat (17542194) (author), Azad Ashraf (17541924) (author), Mazhar Hasan-Zia (21399896) (author), Ali K. Ansaruddin Kunju (21399059) (author), Saidul Kabir (15302407) (author), Muhammad E. H. Chowdhury (14150526) (author)
منشور في:	2024
الموضوعات:	Engineering Environmental engineering Environmental sciences Environmental management Pollution and contamination Information and computing sciences Artificial intelligence Computer vision and multimedia computation Machine learning Waste management Recycling Waste classification Multi-label classification Convolutional neural network (CNN) Deep learning
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

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