… the machine learning algorithm and deep learning algorithm to detect the best one and found
that machine learning … Then we made another e-waste class and attempted to collect more …

… e-waste management issues and challenges. Chapter 5 deals with the paradigm of machine
learning that includes deep learning … of e-waste disposal and its proper management are …

… wastes, which are commonly referred to as e-waste. Due to unplanned location of dustbin as
well as … Object recognition can be made possible by employing machine learning methods. …

… the e-waste classification using a machine-learning model to … In this study, deep learning
methods can be observed to have … stage for waste management and waste disposal processes. …

… Another natural extension would be the application of a machine learning decision tree
model on real data; our model would offer one structural framework to interpret behavior …

… , [15] using machine learning [16], [17], neural networks [18], or deep learning [19] is an active
area of research and practical application these days. Deep Learning-based solutions can …

… processed by machine learning (ML) and data-analytics algorithms. The results are parsed
to decision support systems (DSS) that outcome the organization’s administration strategy. …

… Now using the actual dataset, we decided to add a new a third category of waste which is
very common e-waste. We collected some random e-waste images from Google search and …

… Recycling e-waste makes for eliminating the pollution to environment and recovering critical
… deep learning technology has attracted great attention in the field of waste management in …

… In contrast, it is non-biodegradable if it is in any one of the classes among E-waste, glass,
metal, and plastic. Table 1 represents sample images of bio-degradable wastes, and Table 2 …