Municipal Solid Waste Prediction using Tree Hierarchical Deep Convolutional Neural Network Optimized with Balancing Composite Motion Optimization Algorithm
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Title
Municipal Solid Waste Prediction using Tree Hierarchical Deep Convolutional Neural Network Optimized with Balancing Composite Motion Optimization Algorithm
Authors
Keywords
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Journal
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Volume -, Issue -, Pages 1-21
Publisher
Informa UK Limited
Online
2023-09-20
DOI
10.1080/0952813x.2023.2243277
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- Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
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- (2020) Oluwatobi Adeleke et al. ENVIRONMENTAL TECHNOLOGY
- Machine learning based modelling for lower heating value prediction of municipal solid waste
- (2020) Cansu Birgen et al. FUEL
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