Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Computer vision for solid waste sorting: A critical review of academic research
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Recycling waste classification using optimized convolutional neural network
An automatic classification robot based on effective image recognition could help reduce
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
huge labors of recycling tasks. Convolutional neural network (CNN) model, such as …
Application of machine learning algorithms in municipal solid waste management: A mini review
W **a, Y Jiang, X Chen, R Zhao - Waste Management & …, 2022 - journals.sagepub.com
Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …
municipal solid waste production, and researchers have sought to use advanced technology …
Fuzzy logic based smart irrigation system using internet of things
Traditional agricultural systems require huge amount of power for field watering. This paper
proposes a smart irrigation system that helps farmers water their agricultural fields using …
proposes a smart irrigation system that helps farmers water their agricultural fields using …
Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …
environmental areas because of their great self-learning capability and good accuracy in …
[HTML][HTML] Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature …
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …
generation sorting and processing plants; however, this potential remains largely untapped …
[HTML][HTML] AquaVision: Automating the detection of waste in water bodies using deep transfer learning
Water pollution is one of the serious threats in the society. More than 8 million tons of plastic
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …
Deep learning approach to recyclable products classification: Towards sustainable waste management
MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …
environmental conservation. It is a global issue around the globe and emerging in Saudi …