Deep learning based a comprehensive analysis for waste prediction
In its simplest definition, waste can be defined as any substance that is used, not needed
and causes harm to the environment. Waste management covers control activities such as …
and causes harm to the environment. Waste management covers control activities such as …
Hybrid deep learning model for accurate classification of solid waste in the society
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …
generation, segregation, and its management have become fundamental tasks. To provide …
[PDF][PDF] An artificial intelligence based predictive approach for smart waste management
Waste management is one of the world's biggest challenges, either in the developed or the
emerging economies. The biggest problem with pollution is that the compost heap is well …
emerging economies. The biggest problem with pollution is that the compost heap is well …
[HTML][HTML] Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine
As climate change increases the risk of extreme rainfall events, concerns over flood
management have also increased. To recover quickly from flood damage and prevent …
management have also increased. To recover quickly from flood damage and prevent …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
Solid waste generation predicting by hybrid of artificial neural network and wavelet transform
RE NOURI, MA Abdoli, A FAROKHNIA, A GHAEMI - 2009 - sid.ir
Quantitative prediction of municipal solid waste generation plays an important role in the
optimization and programming of municipal solid waste management system. Being aware …
optimization and programming of municipal solid waste management system. Being aware …
Forecasting generation waste using artificial neural networks
E Shamshiry, B Nadi, MB Mokhtar… - Proceedings on the …, 2011 - search.proquest.com
Municipal solid waste (MSW) is the natural result of human activities. MSW generation
modeling is major significant in municipal solid waste management system planning …
modeling is major significant in municipal solid waste management system planning …
Machine learning in recycling business: an investigation of its practicality, benefits and future trends
Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …
more recent deep learning, are illustrating their utility for waste recycling. The increasing …
Systematic literature review of deep learning models in solid waste management
Solid waste management (SWM) has received significantly more attention in recent years,
especially in developing countries for sustainable development. SWM system encompasses …
especially in developing countries for sustainable development. SWM system encompasses …
Using ANN model to determine future waste characteristics in order to achieve specific waste management targets-case study of Serbia
This study presents a waste management model using artificial neural networks to predict
future waste quantity and composition in Serbia. Since Serbia represent transition country …
future waste quantity and composition in Serbia. Since Serbia represent transition country …