… investigates ways to estimate the quantity of solid wastes, especially … of domestic waste
being generated by using machine-learning algorithms. In our first case study, domestic wastes …

… Compared with other ML methods, DL requires less human guidance, while requires
enormous amounts of data to explore complex, various, and inherent relationships hidden in data. …

… of various Machine Learning (ML) algorithms for municipal solid waste … Machine-learning
approaches in geo-environmental engineering: Exploring smart solid waste management. …

… solid waste production, and researchers have sought to use advanced technology to solve
this problem. Machine learning (… to promote municipal solid waste management (MSWM) and …

… solid waste management in India. Through satellite imagery/remote sensing techniques to
utilizing machine learning … User can explore nearby trash bins so that all garbage in the city …

… limitations of current approaches and exploring novel visualization … of solid waste generated,
along with indiscriminate MSW … Future research could use machine learning algorithms to …

… solid waste across various industrial domains, thereby contributing to resource recovery and
encouraging environmental management … imbalance and exploring alternative methods to …

… (RF) is an ensemble technique of machine learning deployed for … systems in geo-environmental
engineering applications. … , and excavation, slopes, and liner systems for the solid waste…

… machine learning methods in geotechnical engineering, and he is interested in time series
analysis. He has experience on feature engineering, … of data to explore complex, various, and …

… is situated just beside the city solid waste department (A2Z solid waste department), where
stagnant drain water along with a heap of garbage succumb the entire regions water quality. …