Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy
In recent years, waste segregation, treatment, and recycling have become critical global
issues, drawing significant attention worldwide. However, the efficiency of recycling …
issues, drawing significant attention worldwide. However, the efficiency of recycling …
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 …
waste disposal manifests significant ecological and health concerns. Existing approaches to …
An integrated deep-learning model for smart waste classification
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 …
neglecting proper disposal practices can lead to financial losses and the depletion of natural …
Enhancing waste categorization using ensemble of transfer learning and light-weight convolutional neural network
AY Srizon, A Sarker, M Al Mamun… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Proper waste management is essential to reduce the negative impacts of waste on human
health and the environment. Waste management can play a significant role in achieving …
health and the environment. Waste management can play a significant role in achieving …
Towards artificially intelligent recycling Improving image processing for waste classification
Y Yu, R Grammenos - arXiv preprint arXiv:2108.06274, 2021 - arxiv.org
The ever-increasing amount of global refuse is overwhelming the waste and recycling
management industries. The need for smart systems for environmental monitoring and the …
management industries. The need for smart systems for environmental monitoring and the …
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
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 …
the need for an automated waste sorting and recycling system for sustainable waste …
SEFWaM–deep learning based smart ensembled framework for waste management
Waste generation has seen a significant surge in the last decade, presenting an urgent need
for efficient and sustainable waste management strategies. The mounting piles of landfill …
for efficient and sustainable waste management strategies. The mounting piles of landfill …
A deep convolutional neural network to simultaneously localize and recognize waste types in images
S Liang, Y Gu - Waste Management, 2021 - Elsevier
Accurate waste classification is key to successful waste management. However, most
current studies have focused exclusively on single-label waste classification from images …
current studies have focused exclusively on single-label waste classification from images …
Transfer learning based data-efficient machine learning enabled classification
Recently, waste sorting has become more and more important in our daily life. It plays an
essential role in the big picture of waste recycling, reducing environmental pollution …
essential role in the big picture of waste recycling, reducing environmental pollution …
Comparative analysis of multiple deep CNN models for waste classification
Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for
automatic waste sorting and collecting in such a way that helps it for further recycling …
automatic waste sorting and collecting in such a way that helps it for further recycling …