AIMC Topic: Recycling

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X-ray transmission imaging of waste printed circuit boards for value estimation in recycling using machine learning.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jun 20, 2024
The growing amount of electronic waste is a global challenge: on one hand, it poses a threat to the environment as it may contain toxic or hazardous substances, on the other hand it is a valuable 'urban mine' containing metals like gold and copper. T...
Electronic Waste Machine Learning X-Rays Recycling
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Economic benefit analysis of lithium battery recycling based on machine learning algorithm.

PloS one Jun 7, 2024
Lithium batteries, as an important energy storage device, are widely used in the fields of renewable vehicles and renewable energy. The related lithium battery recycling industry has also ushered in a golden period of development. However, the high c...
Cost-Benefit Analysis Recycling Lithium Electric Power Supplies Neural Networks, Computer Algorithms Machine Learning
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Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques.

Chemosphere Jun 4, 2024
The two main things needed to fulfill the world's impending need for water in the face of the widespread water crisis are collecting water and recycling. To do this, the present study has placed a greater focus on water management strategies used in ...
Artificial Intelligence Machine Learning Water Quality Recycling Waste Disposal, Fluid Wastewater
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Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete.

PloS one May 13, 2024
This research study aims to understand the application of Artificial Neural Networks (ANNs) to forecast the Self-Compacting Recycled Coarse Aggregate Concrete (SCRCAC) compressive strength. From different literature, 602 available data sets from SCRC...
Compressive Strength Recycling Machine Learning Construction Materials Neural Networks, Computer
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Agro-industrial waste management employing benefits of artificial intelligence.

Environmental science and pollution research international May 7, 2024
By 2050, the world's population is predicted to reach over 9 billion, which requires 70% increased production in agriculture and food industries to meet demand. This presents a significant challenge for the agri-food sector in all aspects. Agro-indus...
Artificial Intelligence Agriculture Recycling Waste Management Industrial Waste
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Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning.

Environmental science and pollution research international Apr 18, 2024
Resource recycling is considered necessary for sustainable development, especially in smart cities where increased urbanization and the variety of waste generated require the development of automated waste management models. The development of smart ...
Deep Learning Recycling Animals Beluga Whale Waste Management
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Sensor-based characterization of construction and demolition waste at high occupancy densities using synthetic training data and deep learning.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Feb 22, 2024
Sensor-based monitoring of construction and demolition waste (CDW) streams plays an important role in recycling (RC). Extracted knowledge about the composition of a material stream helps identifying RC paths, optimizing processing plants and form the...
Waste Management Recycling Algorithms Neural Networks, Computer Construction Materials Deep Learning
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Multi-modal deep learning networks for RGB-D pavement waste detection and recognition.

Waste management (New York, N.Y.) Feb 6, 2024
To create a clean living environment, governments around the world have hired a large number of workers to clean up waste on pavements, which is inefficient for waste management. To better alleviate this problem, relevant scholars have proposed sever...
Deep Learning Waste Management Recycling Humans
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Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild.

Journal of environmental management Jan 1, 2024
The construction industry generates a substantial volume of solid waste, often destinated for landfills, causing significant environmental pollution. Waste recycling is decisive in managing waste yet challenging due to labor-intensive sorting process...
Construction Materials Industrial Waste Construction Industry Deep Learning Recycling Waste Management Solid Waste
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An intelligent identification and classification system of decoration waste based on deep learning model.

Waste management (New York, N.Y.) Dec 19, 2023
Efficient sorting and recycling of decoration waste are crucial for the industry's transformation, upgrading, and high-quality development. However, decoration waste can contain toxic materials and has greatly varying compositions. The traditional me...
Deep Learning Humans Recycling
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