[HTML][HTML] Recent developments in technology for sorting plastic for recycling: The emergence of artificial intelligence and the rise of the robots
Plastics recycling is an important component of the circular economy. In mechanical
recycling, the recovery of high-quality plastics for subsequent reprocessing requires plastic …
recycling, the recovery of high-quality plastics for subsequent reprocessing requires plastic …
A systematic literature review of waste identification in automatic separation systems
Proper waste separation is essential for recycling. However, it can be challenging to identify
waste materials accurately, especially in real-world settings. In this study, a systematic …
waste materials accurately, especially in real-world settings. In this study, a systematic …
Waste classification for sustainable development using image recognition with deep learning neural network models
The proper handling of waste is one of the biggest challenges of modern society. Municipal
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …
Solid Waste (MSW) requires categorization into a number of types, including bio, plastic …
[HTML][HTML] Optimization of automated garbage recognition model based on resnet-50 and weakly supervised cnn for sustainable urban development
In the context of sustainable urban development, effective garbage management plays a
crucial role. However, traditional methods encounter limitations in terms of data quality and …
crucial role. However, traditional methods encounter limitations in terms of data quality and …
Nature-Inspired search method and custom waste object detection and classification model for smart waste bin
Waste management is one of the challenges facing countries globally, leading to the need
for innovative ways to design and operationalize smart waste bins for effective waste …
for innovative ways to design and operationalize smart waste bins for effective waste …
A design and implementation using an innovative deep-learning algorithm for garbage segregation
J Gunaseelan, S Sundaram, B Mariyappan - Sensors, 2023 - mdpi.com
A startling shift in waste composition has been brought on by a dramatic change in lifestyle,
the quick expansion of consumerism brought on by fierce competition among producers of …
the quick expansion of consumerism brought on by fierce competition among producers of …
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
Develo** smart cities is vital for ensuring sustainable development and improving human
well-being. One critical aspect of building smart cities is designing intelligent methods to …
well-being. One critical aspect of building smart cities is designing intelligent methods to …
Ewastenet: A two-stream data efficient image transformer approach for e-waste classification
Improper disposal of e-waste poses global environmental and health risks, raising serious
concerns. The accurate classification of e-waste images is critical for efficient management …
concerns. The accurate classification of e-waste images is critical for efficient management …
Raspberry pi-based design of intelligent household classified garbage bin
H Fan, Q Dong, N Guo, J Xue, R Zhang, H Wang, M Shi - Internet of Things, 2023 - Elsevier
Until now, waste pollution is a global problem. The first and foremost part of the solution is
waste classification, as it can effectively reduce the output of waste, so it is particularly …
waste classification, as it can effectively reduce the output of waste, so it is particularly …
[PDF][PDF] Artificial intelligence with earthworm optimization assisted waste management system for smart cities
In recent days, massive quantity of waste materials gets considerable increased with
increasing population. Proper management of waste materials becomes essential to reduce …
increasing population. Proper management of waste materials becomes essential to reduce …