Forecasting solid waste generation rates
Abstract Design of efficient solid waste management (SWM) systems requires accurate
estimates of waste generation rates. Waste generation rates can be measured by direct …
estimates of waste generation rates. Waste generation rates can be measured by direct …
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Comparative study of predicting hospital solid waste generation using multiple linear regression and artificial intelligence
S Golbaz, R Nabizadeh, HS Sajadi - Journal of Environmental Health …, 2019 - Springer
Purpose A successful hospital solid waste (HSW) management needs an accurate
estimation of waste generation rates. The conventional regression methods upon increasing …
estimation of waste generation rates. The conventional regression methods upon increasing …
Detection of long-term effect in forecasting municipal solid waste using a long short-term memory neural network
D Niu, F Wu, S Dai, S He, B Wu - Journal of cleaner production, 2021 - Elsevier
Researchers have been successfully applied artificial neural networks (ANNs) in the time-
series analysis and forecasting of municipal solid waste (MSW). Despite the reported high …
series analysis and forecasting of municipal solid waste (MSW). Despite the reported high …
Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning
Resource recycling is considered necessary for sustainable development, especially in
smart cities where increased urbanization and the variety of waste generated require the …
smart cities where increased urbanization and the variety of waste generated require the …
Hybrid model for the prediction of municipal solid waste generation in Hangzhou, China
Z Zhang, Y Zhang, D Wu - Waste Management & Research, 2019 - journals.sagepub.com
Accurate prediction of municipal solid waste (MSW) generation is necessary for choosing
appropriate waste treatment methods and for planning the distribution of disposal facilities …
appropriate waste treatment methods and for planning the distribution of disposal facilities …
Waste-to-Energy Framework: An intelligent energy recycling management
Nowadays, waste to energy (WTE) transformation solutions play a vital role in waste
disposal. Accurate WTE resource planning can be made using high-performance waste …
disposal. Accurate WTE resource planning can be made using high-performance waste …
Waste management 4.0: an application of a machine learning model to identify and measure household waste contamination—a case study in Australia
A Zaman - Sustainability, 2022 - mdpi.com
Waste management directly and indirectly contributes to all sustainable development goals.
Hence, the modernisation of the current ineffective management system through Industry 4.0 …
Hence, the modernisation of the current ineffective management system through Industry 4.0 …
Waste classification using vision transformer based on multilayer hybrid convolution neural network
FS Alrayes, MM Asiri, MS Maashi, MK Nour… - Urban Climate, 2023 - Elsevier
The rapid advancement of deep learning technology has led to the presentation of various
network architectures for classification, making it easier to implement intelligent waste …
network architectures for classification, making it easier to implement intelligent waste …
Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has
merged into the Intelligence of Things concept. This recent trend enables sensors to track …
merged into the Intelligence of Things concept. This recent trend enables sensors to track …