MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting
An intelligent and efficient methodology is needed owning to the continuous increase of
global municipal solid waste (MSW). This is because the common methods of manual and …
global municipal solid waste (MSW). This is because the common methods of manual and …
Smart waste management and classification systems using cutting edge approach
With a rapid increase in population, many problems arise in relation to waste dumps. These
emits hazardous gases, which have negative effects on human health. The main issue is the …
emits hazardous gases, which have negative effects on human health. The main issue is the …
Automatic image-based waste classification
The management of solid waste in large urban environments has become a complex
problem due to increasing amount of waste generated every day by citizens and companies …
problem due to increasing amount of waste generated every day by citizens and companies …
Waste management using machine learning and deep learning algorithms
Waste Management is one of the essential issues that the world is currently facing does not
matter if the country is developed or under developing. The key issue in this waste …
matter if the country is developed or under developing. The key issue in this waste …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
Municipal solid waste segregation with CNN
C Srinilta, S Kanharattanachai - 2019 5th International …, 2019 - ieeexplore.ieee.org
Pollution from municipal solid waste has been a problem in Thailand for a long time. People
generate waste in every minute. Ineffective waste segregation does increase difficulties in …
generate waste in every minute. Ineffective waste segregation does increase difficulties in …
Deep convolutional neural networks object detector for real-time waste identification
DO Melinte, AM Travediu, DN Dumitriu - Applied Sciences, 2020 - mdpi.com
This paper presents an extensive research carried out for enhancing the performances of
convolutional neural network (CNN) object detectors applied to municipal waste …
convolutional neural network (CNN) object detectors applied to municipal waste …
An internet of things based smart waste management system using LoRa and tensorflow deep learning model
Traditional waste management system operates based on daily schedule which is highly
inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the …
inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the …
Cognitive cloud framework for waste dumping analysis using deep learning vision computing in healthy environment
J Liu, AS Prabuwono, AW Abulfaraj, S Miniaoui… - Computers and …, 2023 - Elsevier
Increased population and usage of more unnatural particles create dangerous waste in
society. Environmental Sustainability is ensured based on proper waste management …
society. Environmental Sustainability is ensured based on proper waste management …