AIMC Topic: Recycling
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An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment.
PloS one
Jun 27, 2024
Recycling of used products can provide substantial economic and environmental benefits for supply chain players. However, many factors associated with the design of closed-loop supply chain networks are uncertain in their nature, including demand, op...
Potential prediction and coupling relationship revealing for recovery of platinum group metals from spent auto-exhaust catalysts based on machine learning.
Journal of environmental management
Jun 24, 2024
As hazardous waste, the massive generation of spent auto-exhaust catalysts (SACs) puts enormous pressure on environmental management, but provides a rare opportunity for platinum group metals (PGMs) recycling. In this study, machine learning (ML) met...
Image capturing, segmentation and data analysis of shredded refuse streams.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jun 23, 2024
Refuse sorting is an important cornerstone of the recycling industry, but ever-changing refuse compositions and the desire to increase recycling rates still pose many unsolved challenges. The digitalisation of refuse sorting plants promises to overco...
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...
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...
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 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...
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...
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 ...
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...
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