S Shahab, M Anjum, MS Umar - International Journal of …, 2022 - pdfs.semanticscholar.org
… from security to environment and wastemanagement. Many eminent researchers around the … waste identification and segregation, real-time bin level detection, and prediction of waste …
… a capable architecture of the wastemanagement system based on deeplearning and IoT. … and indigestible waste using a convolutional neural network (CNN), a popular deeplearning …
… The main contribution of the present investigation is to endorse the efficiency of machine learning and/or deeplearning techniques (particularly, YOLO family) for waste segregation …
… the reality is, there is a lot of waste. So, we are proposing an automated waste classification problem utilizing Machine Learning and DeepLearning algorithms. The goal of this task is to …
… better wastemanagement. The aim of this research is to develop a smart wastemanagement system using LoRa communication protocol and TensorFlow based deeplearning model. …
… However, deeplearning concepts and practices have not been widely utilized by … solid wastemanagement (MSWM). Herein, this research provides a critical review for deeplearning …
S Shahab, M Anjum - Sustainability, 2022 - mdpi.com
… solid waste and solid wastemanagement system. The second section illustrates the descriptive statistical analysis of waste generation patterns in India. The average waste generation …
… Therefore, this study proposed a deeplearning model for wastemanagement. In contrast to the studies in the literature, the proposed study investigated a middle eastern dataset while …
… waste datasets and a brief but constructive review of the existing DeepLearning-based waste … Moreover, new benchmark datasets detect-waste and classify-waste are proposed that are …