An integrated deep-learning model for smart waste classification

S Mishra, R Yaduvanshi, P Rajpoot, S Verma… - Environmental …, 2024 - Springer
Efficient waste management is essential for human well-being and environmental health, as
neglecting proper disposal practices can lead to financial losses and the depletion of natural …

Trash Classification Using Deep Learning Models

EF Keskin, O İşleyen, H Demirhan… - 2023 Congress in …, 2023 - ieeexplore.ieee.org
The rapid growth of population and urbanization, combined with transformative
technological advancements arising from the industrial revolution, have resulted in a …

A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification

H Pang, C Huang - 2023 International Conference on Machine …, 2023 - ieeexplore.ieee.org
With the rapid modernization progress over the past decades, waste classification has
become increasingly important as cities worldwide seek to implement more sustainable …

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

MM Hossen, ME Majid, SBA Kashem… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

Deep Learning based Waste Material Classification

M Srimathi, M Srivani, S Doss… - 2023 IEEE Silchar …, 2023 - ieeexplore.ieee.org
Efficient waste management practices are crucial for mitigating environmental risks,
preserving human health, and promoting overall well-being. As waste generation continues …

[HTML][HTML] Enhancing trash classification in smart cities using federated deep learning

H Ahmed Khan, SS Naqvi, AAK Alharbi, S Alotaibi… - Scientific Reports, 2024 - nature.com
Efficient Waste management plays a crucial role to ensure clean and green environment in
the smart cities. This study investigates the critical role of efficient trash classification in …

DenseNet201-Based Waste Material Classification Using Transfer Learning Approach

M Tang, KC Ting, NH Rashidi - Applied Mathematics …, 2024 - ejournal.unimap.edu.my
This paper explores the application of deep learning models in waste material classification,
motivated by the urgent need for efficient waste management practices to address …

[HTML][HTML] RealWaste: A Novel Real-Life Data Set for Landfill Waste Classification Using Deep Learning

S Single, S Iranmanesh, R Raad - Information, 2023 - mdpi.com
The accurate classification of landfill waste diversion plays a critical role in efficient waste
management practices. Traditional approaches, such as visual inspection, weighing and …

Waste Classification Using Random Forest Classifier with DenseNet201 Deep Features

K Akyol, A Karacı - … Conference on Computer Science, Engineering and …, 2023 - Springer
The successful management of solid waste, which has become a major issue in urban life,
reduces environmental pollution. To address this issue, numerous studies using various …

An Approach for Waste Classification Using Data Augmentation and Transfer Learning Models

NV Kumsetty, AB Nekkare, S Sowmya Kamath… - Machine Vision and …, 2023 - Springer
Waste segregation has become a daunting problem in the twenty-first century, as careless
waste disposal manifests significant ecological and health concerns. Existing approaches to …