… This work is to introduce the intelligent waste management system with machine learning …
waste management system with machine learning algorithm to collect and predict the waste …

… to promote municipal solid waste management (MSWM) and … of ML algorithms in the whole
process of MSWM, from waste … waste accumulation, so it is difficult to predict the fill levels of …

… ) and K-nearest neighbor (KNN) algorithm to identify the filling level of a 120 L waste bin.
The system achieved an acceptable accuracy of approximately 90%. Meanwhile, Rutqvist et al. …

… the computation necessary for predicting the status of … algorithm (k-NN) and logistic reg)
and a non-traditional (long short term memory (LSTM) network-based deep learning) algorithm …

… Eg, if the actual class predicts the image is belong to the paper class and after prediction, …
prediction but on the negative side. That means the actual value is no and our predicting model …

… Two machine learning algorithms, namely decision trees and neural networks, … machine
learning algorithms can be successfully used to generate waste models with good prediction …

… Two machine learning algorithms, namely decision trees and neural networks, … machine
learning algorithms can be successfully used to generate waste models with good prediction …

… Second, we apply Algorithm 1 to predict the status and route of each trash bin daily,
which will be explained in Section 4.3. Note that we consider the location of the aggregate …

… This study aims to predict weekly and daily municipal waste … using a data mining and machine
learning approach. We first … (NN) machine learning algorithms to estimate weekly waste …

… In this study, an unsupervised learning algorithm and recursive feature elimination (RFE)
techniques were used to select the optimal variables. RFE is a simple backward selection …