… However, deep learning concepts and practices have not been widely utilized by … solid
waste management (MSWM). Herein, this research provides a critical review for deep learning …

Abstract—Solid waste management (SWM) has recently … Recently, deep learning (DL) has
attained momentum in … , namely waste identification and segregation and prediction of waste …

… approaches for addressing solid waste challenges. Although … deep learning methods to
solve diverse solid waste problems. This study proposes an intelligent model to categorize waste …

… waste litter measurement is necessary for the ecological characteristics to improve over time.
The waste … hybrid deep learning model has been developed for waste classification. This …

… This paper developed an efficient municipal solid waste classification using a deep learning
… of waste products with six classes of waste products. The considered waste products belong …

… the municipal solid waste (MSW) amount for its sustainable management. Owing to
learning complicated and abstract features between the factors and target, deep learning has …

… municipal solid waste and solid waste management system. The second section illustrates
the descriptive statistical analysis of waste generation patterns in India. The average waste …

… techniques in solid waste management. The … for solid waste classification is the Deep
Learning Technique based on Convolution Neural Networks (CNN) [5]. A CNN is a deep-learning …

… In this research work, a hybrid IoT-based deep learning model is used to solve waste material
management based on the outputs from both the CNN model and the sensors used. When …

… The type and quantity of municipal solid waste are important factors for determining how …
solid waste (MSW). It is also forecasting the amount and type of generated municipal solid waste…