… propose an intelligentwaste material classification system, … NeuralNetwork model which is a machinelearning tool and … Vector Machine (SVM) which is used to classify the waste into …
… wastemanagement. The aim of this research is to develop a smartwastemanagement system using LoRa communication protocol and TensorFlow based deeplearning model. LoRa …
… deeplearning offers a modular technique to data categorization and real-time examining. This article illustrates a capable "Smarttrashmanagement and categorization system… garbage …
… 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 …
C Wang, J Qin, C Qu, X Ran, C Liu, B Chen - Waste Management, 2021 - Elsevier
… In this system, we utilize the deeplearning-based classifier … waste classification at the beginning of garbagecollection. To … the smartgarbage bins to monitor the overall amount of waste …
… wastemanagement and recycling systems are among the essential parts of a sustainable economy. Using intelligentsystems … research project by DeepLearning Turkiye, a broad non-…
… The glass materials can be broken and melted back to form new articles after deep cleaning. This chapter aims to understand the use of machinelearning and artificial intelligence in …
… IntelligentWasteManagementSystem This section introduces the intelligentwaste managementsystem that contains combinations of Internet of things and machinelearning. Internet …
… However, deeplearning concepts and practices have not been widely utilized by … solid wastemanagement (MSWM). Herein, this research provides a critical review for deeplearning …